Evidence map›Paper›PMID 31947564›Full record

ReviewMarine drugs2020

Recent Discovery of Heterocyclic Alkaloids from Marine-Derived

Kuo Xu, Xiao-Long Yuan, Chen Li, And Xiao-Dong Li

Open access · goldAbstract readReview
In one paragraph

Review in Marine drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Engineering of Global Transcriptional Regulators (GTRs) inJournal of fungi (Basel, Switzerland) · 2025
    Review
  3. Asperinsuterpenes A-C from the FungusJournal of fungi (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. MarineMarine drugs · 2023
    Review
  9. Article
  10. Article
  11. Naturally Occurring Organohalogen Compounds-A Comprehensive Review.Progress in the chemistry of organic natural products · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Alkaloids from Marine Fungi: Promising Antimicrobials.Antibiotics (Basel, Switzerland) · 2020
    Review
  19. Article
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

4 authors at 2 institutions in 1 country.

Kuo XuTobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao 266101, China.
Xiao-Long YuanTobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao 266101, China.
Chen LiYantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
And Xiao-Dong LiYantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Ludong University · CNTobacco Research Institute · CN

Funding

Agricultural Science and Technology Innovation Program ASTIP-TRIC05China Postdoctoral Science Foundation 2018M630804d Technology Innovation Program (No. ASTIP-TRIC05), BX201700247Key Research and Development Program of Shandong Provinc 2019GSF107091National Natural Science Foundation of China 81803375
6 · The paper itself

Abstract

Nitrogen heterocycles have drawn considerable attention due to of their significant biological activities. The marine fungi residing in extreme environments are among the richest sources of these basic nitrogen-containing secondary metabolites. As one of the most well-known universal groups of filamentous fungi, marine-derived

Indexed as

AlkaloidsAquatic OrganismsAspergillusBiological ProductsHumansSeawaterAlkaloidsBiological ProductsalkaloidAspergillusbiological activitymarinemetabolite

Identifiers

PMID31947564
PMCPMC7024353
OpenAlexW3000680906

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.