P. Bagavandoss
- Molecular Biology
- Agronomy and Crop Science top 2%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Co-authors
- John W. WilksMax S. WichaRoger C. WigginsSteven L. KunkelA. REES MIDGLEYEthan A. KohnP. Landis KeyesDaniel G. Remick
- Topics
- Reproductive Physiology in Livestock (4 papers)Reproductive Biology and Fertility (3 papers)Reproductive System and Pregnancy (3 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsEndocrinology
- Partner nations
- United States
In The Last Decade
P. Bagavandoss
19 papers receiving 982 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 378
- Agronomy and Crop Science 275
- Immunology 262
- Public Health, Environmental and Occupational Health 196
- Reproductive Medicine 188
Countries citing papers authored by P. Bagavandoss
This map shows the geographic impact of P. Bagavandoss'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 P. Bagavandoss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bagavandoss more than expected).
Fields of papers citing papers by P. Bagavandoss
This network shows the impact of papers produced by P. Bagavandoss. 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 P. Bagavandoss. The network helps show where P. Bagavandoss may publish in the future.
Co-authorship network of co-authors of P. Bagavandoss
This figure shows the co-authorship network connecting the top 25 collaborators of P. Bagavandoss. A scholar is included among the top collaborators of P. Bagavandoss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Bagavandoss. P. Bagavandoss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 36 | |
| 5 | 71 | |
| 6 | 12 | |
| 7 | 35 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 28 | |
| 11 | 144 | |
| 12 | 138 | |
| 13 | 127 | |
| 14 | 31 | |
| 15 | 31 | |
| 16 | 92 | |
| 17 | 216 | |
| 18 | 2 | |
| 19 | 7 |
About P. Bagavandoss
P. Bagavandoss is a scholar working on Agronomy and Crop Science, Biochemistry and Reproductive Medicine, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (4 papers), Reproductive Biology and Fertility (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Agronomy and Crop Science (275 citations), Reproductive Medicine (188 citations) and Immunology and Allergy (95 citations). P. Bagavandoss has collaborated with scholars based in United States. Frequent co-authors include John W. Wilks, Max S. Wicha, Roger C. Wiggins, Steven L. Kunkel, A. REES MIDGLEY, Ethan A. Kohn, P. Landis Keyes, Daniel G. Remick, Robert B. Vernon and E. Helene Sage. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Endocrinology.
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.