Ram Kumar
Impact in
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant responses to elevated CO2
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
Papers in
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- Plant responses to elevated CO2 4
- Plant Stress Responses and Tolerance 3
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- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
- Insect Resistance and Genetics 2
- Co-authors
- Rakesh K. Mishra (6 shared papers)François Karch (1 shared paper)Paul Schedl (1 shared paper)Kirsten Hagstrom (1 shared paper)Daryl M. Gohl (1 shared paper)Soumen Paul (4 shared papers)Soma Ray (4 shared papers)Vandna Rai (3 shared papers)
- Journals
- Genetics (2 papers)Development (2 papers)Scientific Reports (2 papers)Journal of Proteome Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Ram Kumar
37 papers receiving 855 citations
Peers
Comparison fields: 5 of 100
- Plant Science 329
- Molecular Biology 424
- Cell Biology 92
- Obstetrics and Gynecology 37
- Biotechnology 36
Countries citing papers authored by Ram Kumar
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 90 | |
| 2 | 2018 | 84 | |
| 3 | 2019 | 74 | |
| 4 | 2017 | 63 | |
| 5 | 2010 | 45 | |
| 6 | 2013 | 44 | |
| 7 | 2018 | 43 | |
| 8 | 2019 | 42 | |
| 9 | 2018 | 36 | |
| 10 | 2008 | 34 | |
| 11 | 2010 | 32 | |
| 12 | 2014 | 30 | |
| 13 | 2018 | 26 | |
| 14 | 2022 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2010 | 23 | |
| 17 | 2013 | 21 | |
| 18 | 2017 | 21 | |
| 19 | 2014 | 14 | |
| 20 | 2016 | 13 |
About Ram Kumar
Ram Kumar is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Atmospheric Science and Pollution, having authored 39 papers that have together received 873 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), Atmospheric chemistry and aerosols (3 papers), RNA Research and Splicing (3 papers), Plant Stress Responses and Tolerance (3 papers), Crop Yield and Soil Fertility (2 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Plant Science (329 citations), Molecular Biology (424 citations), Cell Biology (92 citations), Obstetrics and Gynecology (37 citations) and Biotechnology (36 citations). Ram Kumar has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Rakesh K. Mishra, François Karch, Paul Schedl, Kirsten Hagstrom, Daryl M. Gohl, Soumen Paul, Soma Ray, Vandna Rai, Bharat Singh and Krishnaveni Mishra. Their work appears in journals such as Genetics, Development, Scientific Reports, Journal of Proteome Research and PLoS ONE.
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.