Evidence map›Paper›PMID 36678244›Full record

ArticleNutrients2023

Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology.

Xun Wei, Yan Long, Chenchen Yi, Aqing Pu, Quancan Hou, Chang Liu, Yilin Jiang, Suowei Wu, Xiangyuan Wan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Arabica coffee Intercropped withPlants (Basel, Switzerland) · 2025
    Article
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xun WeiZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.ORCID 0000-0001-9828-6796
Yan LongZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.
Chenchen YiZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.
Aqing PuZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.
Quancan HouZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.ORCID 0000-0002-6971-5341
Chang LiuZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.
Yilin JiangZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.ORCID 0000-0002-6024-5873
Suowei WuZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.ORCID 0000-0003-3335-0632
Xiangyuan WanZhongzhi International Institute of Agricultural Biosciences, Shunde Innovation School, Research Center of Biology and Agriculture, University of Science and Technology Beijing, Beijing 100024, China.ORCID 0000-0002-5939-4847

Funding

Beijing Nova Program 20220484114Foshan Municipal People's Government Special fund project for scientific and technological innovation BK22BE013National Key R&D Program of China 2022YFF1003500
6 · The paper itself

Abstract

Food security and hidden hunger are two worldwide serious and complex challenges nowadays. As one of the newly emerged technologies, gene editing technology and its application to crop improvement offers the possibility to relieve the pressure of food security and nutrient needs. In this paper, we analyzed the research status of quality improvement based on gene editing using four major crops, including rice, soybean, maize, and wheat, through a bibliometric analysis. The research hotspots now focus on the regulatory network of related traits, quite different from the technical improvements to gene editing in the early stage, while the trends in deregulation in gene-edited crops have accelerated related research. Then, we mined quality-related genes that can be edited to develop functional crops, including 16 genes related to starch, 15 to lipids, 14 to proteins, and 15 to other functional components. These findings will provide useful reference information and gene resources for the improvement of functional crops and nutritional quality based on gene editing technology.

Indexed as

Crops, AgriculturalGene EditingBibliometricsNutritive ValueTechnologybibliometricfood securityfunctional cropsgene editinghidden hungernutritional quality

Identifiers

PMID36678244
PMCPMC9865409

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.