Disha Pant

1.0k citations
25 papers · 806 · h-index 13

Impact in

Papers in

Disha Pant

22 papers receiving 775 citations

Peers

Disha Pant
Comparison fields: 5 of 75
  • Reproductive Medicine 193
  • Genetics 263
  • Public Health, Environmental and Occupational Health 265
  • Molecular Biology 522
  • Agronomy and Crop Science 71
Replace Deshun Shi with:
Deshun Shi China
Kyung-Bon Lee United States
Hanako Bai Japan
Kanako Kaneyama Japan
Nathalie Peynot France
Junichi Todoroki Japan
Gail C. Ekman United States
Lucie Němcová Czechia
HF Irving-Rodgers Australia
Koichi Ushizawa Japan
Disha Pant relative to Deshun Shi China Deshun Shi's profile →
Citations per field
00.5×1.5×
Deshun Shi · 1×
Citations per year

Countries citing papers authored by Disha Pant

Since Specialization
Citations

This map shows the geographic impact of Disha Pant's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Disha Pant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Disha Pant more than expected).

Fields of papers citing papers by Disha Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Disha Pant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Disha Pant. The network helps show where Disha Pant may publish in the future.

Co-authors

The 25 scholars most cited alongside Disha Pant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Disha Pant Line = papers co-authored together Disha Pant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 2006137
3 2009124
4 200678
5 200854
6 200944
7 200834
8 200532
9 200632
10 200830
11 200523
12 200418
13 202013
14
Variability, heritability and genetic advance in Indian mustard [Brassica juncea (L.) Czern & Coss].
20009
15 20147
16 20047
17
Genetic studies in horsegram from NW Himalayan regions of Uttarakhand, India
20124
18 20054
19 20172
20
Variability and correlation studies for fatty acid composition in rapeseed mustard
20021

About Disha Pant

Disha Pant is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Plant Science, Reproductive Medicine and Agronomy and Crop Science, having authored 25 papers that have together received 806 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (5 papers), Renal and related cancers (4 papers), Nitrogen and Sulfur Effects on Brassica (4 papers), CRISPR and Genetic Engineering (3 papers), Ovarian function and disorders (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Reproductive Medicine (193 citations), Genetics (263 citations), Public Health, Environmental and Occupational Health (265 citations), Molecular Biology (522 citations) and Agronomy and Crop Science (71 citations). Disha Pant has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Carol L. Keefer, Martin Dym, Maria Kokkinaki, G. Ian Gallicano, L. A. Blomberg, Neil C. Talbot, Zuping He, Jiji Jiang, Andrew T. Schiffmacher and Shuyang He. Their work appears in journals such as Reproduction Fertility and Development, Reproduction, Animal Reproduction Science, Stem Cells and Stem Cells and Development.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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