V. Sujay
Impact in
- Plant Science top 5%
- Peanut Plant Research Studies
- Chromosomal and Genetic Variations
- Genetic and Environmental Crop Studies
- Plant Genetic and Mutation Studies
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Peanut Plant Research Studies 11
- Plant Genetic and Mutation Studies 2
- Rice Cultivation and Yield Improvement 1
- Chromosomal and Genetic Variations 1
- Co-authors
- Ramesh Bhat (9 shared papers)Rajeev Kumar Varshney (8 shared papers)M. V. C. Gowda (9 shared papers)Manish Kumar Pandey (7 shared papers)Yogendra P. Khedikar (4 shared papers)Bhimana Gautami (2 shared papers)H. L. Nadaf (4 shared papers)Sarvamangala Cholin (3 shared papers)
In The Last Decade
V. Sujay
12 papers receiving 437 citations
Peers
Comparison fields: 5 of 12
- Plant Science 440
- Genetics 36
- General Agricultural and Biological Sciences 3
- Agronomy and Crop Science 2
- Ecology, Evolution, Behavior and Systematics 3
Countries citing papers authored by V. Sujay
This map shows the geographic impact of V. Sujay'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 V. Sujay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sujay more than expected).
Fields of papers citing papers by V. Sujay
This network shows the impact of papers produced by V. Sujay. 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 V. Sujay. The network helps show where V. Sujay may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Sujay, 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 | 2011 | 154 | |
| 2 | 2012 | 92 | |
| 3 | 2016 | 51 | |
| 4 | 2018 | 35 | |
| 5 | 2015 | 29 | |
| 6 | 2012 | 27 | |
| 7 | 2010 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2009 | 16 | |
| 10 | Evaluation of early vigor related traits in upland rice (oryza sativa) | 2007 | 4 |
| 11 | 2024 | 3 | |
| 12 | Selection of accessions from minicore to improve disease resistance in groundnut | 2008 | 1 |
| 13 | Development of NILs from heterogeneous inbred families for validating the rust resistance QTL in peanut (Arachis hypogaeaL.) | 2013 | 0 |
About V. Sujay
V. Sujay is a scholar working on Plant Science, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 454 indexed citations. Recurring topics across this work include Peanut Plant Research Studies (11 papers), Plant Genetic and Mutation Studies (2 papers), Rice Cultivation and Yield Improvement (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (440 citations), Genetics (36 citations), General Agricultural and Biological Sciences (3 citations), Agronomy and Crop Science (2 citations) and Ecology, Evolution, Behavior and Systematics (3 citations). V. Sujay has collaborated with scholars based in India, Mali and Japan. Frequent co-authors include Ramesh Bhat, Rajeev Kumar Varshney, M. V. C. Gowda, Manish Kumar Pandey, Yogendra P. Khedikar, Bhimana Gautami, H. L. Nadaf, Sarvamangala Cholin, S. Lingaraju and Steven J. Knapp. Their work appears in journals such as Molecular Breeding, Euphytica, Plant Breeding, Frontiers in Plant Science 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.