Ram Kumar

1.2k citations
37 papers · 749 indexed · h-index 16

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Developmental Biology and Gene Regulation

Papers in

Ram Kumar

36 papers receiving 737 citations

Peers

Ram Kumar
Comparison fields: 5 of 100
  • Plant Science 282
  • Molecular Biology 432
  • Cell Biology 89
  • Obstetrics and Gynecology 39
  • Biotechnology 32
Replace Dollie LaJoie with:
Dollie LaJoie United States
Matthew Dunn United States
Juca A. B. San Martin Brazil
W. John Haynes United States
J McDougall United States
Anne‐Marie Marini Belgium
Xianglong Li China
А. В. Солдатов Russia
Johana Chicher France
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Citations per field
00.5×9.8×
Dollie LaJoie · 1×
Citations per year

Countries citing papers authored by Ram Kumar

Since Specialization
Citations

This map shows the geographic impact of Ram Kumar'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 Ram Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Kumar more than expected).

Fields of papers citing papers by Ram Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Kumar. 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 Ram Kumar. The network helps show where Ram Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Ram Kumar, 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 Ram Kumar Line = papers co-authored together Ram Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200489
2 201882
3 201761
4 201342
5 201041
6 201836
7 200834
8 201934
9 201833
10 201031
11 201429
12 202225
13 201024
14 201823
15 201523
16 201320
17 201715
18 201414
19 201611
20 201810

About Ram Kumar

Ram Kumar is a scholar working on Plant Science, Agronomy and Crop Science, Obstetrics and Gynecology, Molecular Biology and Atmospheric Science, having authored 37 papers that have together received 749 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (4 papers), Plant responses to elevated CO2 (4 papers), RNA Research and Splicing (3 papers), Plant Stress Responses and Tolerance (3 papers), Atmospheric chemistry and aerosols (3 papers), Agricultural Practices and Plant Genetics (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Plant Science (282 citations), Molecular Biology (432 citations), Cell Biology (89 citations), Obstetrics and Gynecology (39 citations) and Biotechnology (32 citations). Ram Kumar has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Rakesh K. Mishra, Paul Schedl, François Karch, Kirsten Hagstrom, Daryl M. Gohl, Soumen Paul, Soma Ray, Krishnaveni Mishra, Bharat Singh and Vandna Rai. Their work appears in journals such as Scientific Reports, Journal of Proteome Research, Genetics, Proceedings of the National Academy of Sciences 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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