R. Chowda-Reddy
Impact in
- Endocrinology top 10%
- Plant and Fungal Interactions Research
- Plant Science top 5%
- Plant Virus Research Studies
- Legume Nitrogen Fixing Symbiosis
- Plant-Microbe Interactions and Immunity
- Soybean genetics and cultivation
- Plant Disease Resistance and Genetics
- Plant Pathogenic Bacteria Studies
Papers in
-
- Plant Virus Research Studies 9
- Plant Pathogenic Bacteria Studies 3
- Legume Nitrogen Fixing Symbiosis 2
- Plant-Microbe Interactions and Immunity 2
-
- Agronomic Practices and Intercropping Systems 2
- Co-authors
- Aiming Wang (4 shared papers)Asheesh K. Singh (3 shared papers)Guangyu Sun (1 shared paper)Xiaoyan Cui (1 shared paper)Tàiyún Wèi (1 shared paper)Vaino Poysa (2 shared papers)V. Muniyappa (1 shared paper)John Colvin (1 shared paper)
- Journals
- Virus Research (3 papers)PLoS ONE (2 papers)Molecular Plant-Microbe Interactions (2 papers)Virology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaJamaica
In The Last Decade
R. Chowda-Reddy
13 papers receiving 426 citations
Peers
Comparison fields: 5 of 37
- Endocrinology 60
- Plant Science 403
- Horticulture 10
- Insect Science 105
- Agronomy and Crop Science 23
Countries citing papers authored by R. Chowda-Reddy
This map shows the geographic impact of R. Chowda-Reddy'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 R. Chowda-Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Chowda-Reddy more than expected).
Fields of papers citing papers by R. Chowda-Reddy
This network shows the impact of papers produced by R. Chowda-Reddy. 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 R. Chowda-Reddy. The network helps show where R. Chowda-Reddy may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Chowda-Reddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2009 | 66 | |
| 3 | 2017 | 56 | |
| 4 | 2010 | 51 | |
| 5 | 2008 | 41 | |
| 6 | 2019 | 39 | |
| 7 | 2020 | 37 | |
| 8 | 2011 | 25 | |
| 9 | 2016 | 14 | |
| 10 | 2009 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 6 | |
| 13 | 2010 | 2 |
About R. Chowda-Reddy
R. Chowda-Reddy is a scholar working on Plant Science, Agronomy and Crop Science, Molecular Biology, Biotechnology and Horticulture, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Plant Virus Research Studies (9 papers), Plant Pathogenic Bacteria Studies (3 papers), Agronomic Practices and Intercropping Systems (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Transgenic Plants and Applications (2 papers), Plant tissue culture and regeneration (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Endocrinology (60 citations), Plant Science (403 citations), Horticulture (10 citations), Insect Science (105 citations) and Agronomy and Crop Science (23 citations). R. Chowda-Reddy has collaborated with scholars based in United States, Canada and Jamaica. Frequent co-authors include Aiming Wang, Asheesh K. Singh, Guangyu Sun, Xiaoyan Cui, Tàiyún Wèi, Vaino Poysa, V. Muniyappa, John Colvin, Susan Seal and Arti Singh. Their work appears in journals such as Virus Research, PLoS ONE, Molecular Plant-Microbe Interactions, Virology and Nature Communications.
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.