Manda Sriswathi
Impact in
- Plant Science top 5%
- Peanut Plant Research Studies
- Agricultural pest management studies
- Plant Virus Research Studies
- Genetic and Environmental Crop Studies
- Genetics and Plant Breeding
- Inorganic Chemistry top 5%
- Coconut Research and Applications
Papers in
-
- Peanut Plant Research Studies 10
- Agricultural pest management studies 7
- Plant Virus Research Studies 1
-
- Coconut Research and Applications 9
- Co-authors
- Manish K. Pandey (10 shared papers)Rajeev K. Varshney (10 shared papers)Pasupuleti Janila (5 shared papers)T. Radhakrishnan (4 shared papers)Surendra S. Manohar (3 shared papers)Hari D. Upadhyaya (4 shared papers)Pawan Khera (4 shared papers)Manish K. Vishwakarma (6 shared papers)
- Journals
- Biotechnology Reports (1 paper)Theoretical and Applied Genetics (1 paper)Scientific Reports (1 paper)Molecular Genetics and Genomics (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- IndiaUnited StatesMali
In The Last Decade
Manda Sriswathi
10 papers receiving 651 citations
Peers
Comparison fields: 5 of 42
- Plant Science 620
- Inorganic Chemistry 225
- Horticulture 5
- Endocrinology 20
- Genetics 74
Countries citing papers authored by Manda Sriswathi
This map shows the geographic impact of Manda Sriswathi'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 Manda Sriswathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manda Sriswathi more than expected).
Fields of papers citing papers by Manda Sriswathi
This network shows the impact of papers produced by Manda Sriswathi. 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 Manda Sriswathi. The network helps show where Manda Sriswathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Manda Sriswathi, 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 | 2013 | 159 | |
| 2 | 2017 | 129 | |
| 3 | 2014 | 124 | |
| 4 | 2015 | 113 | |
| 5 | 2019 | 42 | |
| 6 | 2011 | 40 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 11 | |
| 10 | The first high density genotyping ‘Axiom_Arachis’ 58K SNPs array for genetic studies and molecular breeding in groundnut | 2017 | 1 |
About Manda Sriswathi
Manda Sriswathi is a scholar working on Plant Science, Inorganic Chemistry, Surgery, Molecular Biology and Endocrinology, having authored 10 papers that have together received 660 indexed citations. Recurring topics across this work include Peanut Plant Research Studies (10 papers), Coconut Research and Applications (9 papers), Agricultural pest management studies (7 papers), Plant Virus Research Studies (1 paper), Transplantation: Methods and Outcomes (1 paper), Plant and Fungal Interactions Research (1 paper) and Nitrogen and Sulfur Effects on Brassica (1 paper). The work is most often cited by research in Plant Science (620 citations), Inorganic Chemistry (225 citations), Horticulture (5 citations), Endocrinology (20 citations) and Genetics (74 citations). Manda Sriswathi has collaborated with scholars based in India, United States and Mali. Frequent co-authors include Manish K. Pandey, Rajeev K. Varshney, Pasupuleti Janila, T. Radhakrishnan, Surendra S. Manohar, Hari D. Upadhyaya, Pawan Khera, Manish K. Vishwakarma, P. Nagesh and Peggy Ozias‐Akins. Their work appears in journals such as Biotechnology Reports, Theoretical and Applied Genetics, Scientific Reports, Molecular Genetics and Genomics and Frontiers in Plant Science.
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.