Ram Kumar
Impact in
- Plant Science top 10%
- 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 ⓘ
-
- Plant responses to elevated CO2 4
- Plant Stress Responses and Tolerance 3
- Agricultural Practices and Plant Genetics 2
- Co-authors
- Rakesh K. Mishra (6 shared papers)Paul Schedl (1 shared paper)François Karch (1 shared paper)Kirsten Hagstrom (1 shared paper)Daryl M. Gohl (1 shared paper)Soumen Paul (4 shared papers)Soma Ray (4 shared papers)Krishnaveni Mishra (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Proteome Research (2 papers)Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Development (2 papers)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Ram Kumar
36 papers receiving 737 citations
Peers
Comparison fields: 5 of 100
- Plant Science 282
- Molecular Biology 432
- Cell Biology 89
- Obstetrics and Gynecology 39
- Biotechnology 32
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 89 | |
| 2 | 2018 | 82 | |
| 3 | 2017 | 61 | |
| 4 | 2013 | 42 | |
| 5 | 2010 | 41 | |
| 6 | 2018 | 36 | |
| 7 | 2008 | 34 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 33 | |
| 10 | 2010 | 31 | |
| 11 | 2014 | 29 | |
| 12 | 2022 | 25 | |
| 13 | 2010 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2015 | 23 | |
| 16 | 2013 | 20 | |
| 17 | 2017 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2016 | 11 | |
| 20 | 2018 | 10 |
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.