Evidence map›Paper›PMID 32289060›Full record

ReviewPlant gene2015

Authentication of medicinal plants by DNA markers.

Showkat Hussain Ganie, Priti Upadhyay, Sandip Das, Maheshwer Prasad Sharma

Open access · hybridAbstract readReview
In one paragraph

Review in Plant gene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 219 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetic analysis of seed germination rates inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Genetic Authentication of the Medicinal PlantInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. An overview of remote monitoring methods in biodiversity conservation.Environmental science and pollution research international · 2022
    Review
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.

Showkat Hussain GanieDept. of Botany, University of Delhi, Delhi 110007, India.
Priti UpadhyayDept. of Botany, University of Delhi, Delhi 110007, India.
Sandip DasDept. of Botany, University of Delhi, Delhi 110007, India.
Maheshwer Prasad SharmaDept. of Botany, Jamia Hamdard, New Delhi 110062, India.
University of Delhi · INJamia Hamdard · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants have been used worldwide for centuries to maintain health and to treat diseases, more so chronic diseases. However, adulteration and use of spurious materials as substitutes have become a major concern for users and industry for reasons of safety and efficacy. Therefore, authentication of medicinal plants is of utmost importance. Morphological, anatomical, chemical and DNA markers solve the problem by differentiating the genuine material from the adulterants, substitutes and spurious drugs. DNA markers use nucleotide sequences to identify species; it takes preference over the other two markers being not age dependent, tissue specific and having a higher discriminating power. Therefore, characterization of plants with such markers is an ideal approach for identification of medicinal plant species and populations/varieties of the same species. Availability of certified taxonomic specimens in herbaria is certainly required for unambiguous confirmation through final visual comparison and analysis.

Indexed as

AdulterationAuthenticationDNA markersMedicinal plants

Identifiers

PMID32289060
PMCPMC7103949
OpenAlexW2195794234

What OpenQuestion holds

Textmetadata
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.