A. L. Rathnakumar
- Plant Science top 10%
- Peanut Plant Research Studies 21
- Agricultural pest management studies 10
- Sesame and Sesamin Research 3
- Sunflower and Safflower Cultivation 3
- Soybean genetics and cultivation 2
- Inorganic Chemistry top 10%
- Coconut Research and Applications 10
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- Nuts composition and effects 3
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- Cyclone Separators and Fluid Dynamics 2
A. L. Rathnakumar
25 papers receiving 340 citations
Peers
Comparison fields: 5 of 41
- Plant Science 340
- Inorganic Chemistry 123
- Agronomy and Crop Science 25
- Endocrinology 11
- Nutrition and Dietetics 27
Countries citing papers authored by A. L. Rathnakumar
This map shows the geographic impact of A. L. Rathnakumar'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 A. L. Rathnakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. L. Rathnakumar more than expected).
Fields of papers citing papers by A. L. Rathnakumar
This network shows the impact of papers produced by A. L. Rathnakumar. 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 A. L. Rathnakumar. The network helps show where A. L. Rathnakumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. L. Rathnakumar, 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 | 2023 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 41 | |
| 12 | 2017 | 1 | |
| 13 | Phenotyping and molecular marker analysis for stem-rot disease resistance using F2 mapping population in groundnut. | 2016 | 5 |
| 14 | 2016 | 70 | |
| 15 | 2016 | 23 | |
| 16 | 2016 | 23 | |
| 17 | Validation of SSR markers linked to the rust and late leaf spot diseases resistance in diverse peanut genotypes | 2014 | 19 |
| 18 | Phenotyping of Groundnut Genotypes for Resistance to Sclerotium Stem Rot | 2014 | 10 |
| 19 | Genetic improvement in Spanish type groundnut, Arachis hypogaea L. varieties in India over the years. | 2010 | 5 |
| 20 | High yielding, water use efficient Spanish groundnut (Arachis hypogaea) genotypes for rainfed production system | 2006 | 3 |
About A. L. Rathnakumar
A. L. Rathnakumar is a scholar working on Horticulture, Inorganic Chemistry and Plant Science, having authored 27 papers that have together received 357 indexed citations. Recurring topics across this work include Peanut Plant Research Studies (21 papers), Agricultural pest management studies (10 papers), Coconut Research and Applications (10 papers), Nuts composition and effects (3 papers), Sesame and Sesamin Research (3 papers), Sunflower and Safflower Cultivation (3 papers), Cyclone Separators and Fluid Dynamics (2 papers) and Soybean genetics and cultivation (2 papers). The work is most often cited by research in Plant Science (340 citations), Inorganic Chemistry (123 citations) and Agronomy and Crop Science (25 citations). A. L. Rathnakumar has collaborated with scholars based in India, China and Mali. Frequent co-authors include Gyan P. Mishra, T. Radhakrishnan, Rajeev K. Varshney, Manish K. Pandey, K. Hariprasanna, Abhay Kumar, Radhakrishnan Thankappan, Jentilal R. Dobaria, M. K. Mahatma and Sujit Kumar Bishi. Their work appears in journals such as PLoS ONE, Frontiers in Plant Science and Theoretical and Applied Genetics.
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.