Neha Sangewar
- Agronomy and Crop Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Infectious Diseases
- Molecular Biology
- Co-authors
- Waithaka MwangiSuryakant D. WaghelaShehnaz LokhandwalaRichard P. BishopJocelyn BrayGabrielle F. MillerThomas G. BurrageDavid A. Brake
- Topics
- Animal Disease Management and Epidemiology (9 papers)Vector-Borne Animal Diseases (8 papers)Viral Infections and Immunology Research (6 papers)
- Cited by
- Agronomy and Crop ScienceEcology, Evolution, Behavior and SystematicsCardiology and Cardiovascular Medicine
- Partner nations
- United StatesBulgariaGermany
In The Last Decade
Neha Sangewar
10 papers receiving 317 citations
Peers
Comparison fields: 5 of 24
- Agronomy and Crop Science 294
- Ecology, Evolution, Behavior and Systematics 236
- Cardiology and Cardiovascular Medicine 144
- Infectious Diseases 97
- Molecular Biology 57
Countries citing papers authored by Neha Sangewar
This map shows the geographic impact of Neha Sangewar'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 Neha Sangewar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Sangewar more than expected).
Fields of papers citing papers by Neha Sangewar
This network shows the impact of papers produced by Neha Sangewar. 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 Neha Sangewar. The network helps show where Neha Sangewar may publish in the future.
Co-authorship network of co-authors of Neha Sangewar
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Sangewar. A scholar is included among the top collaborators of Neha Sangewar 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 Neha Sangewar. Neha Sangewar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 22 | |
| 6 | 66 | |
| 7 | 14 | |
| 8 | 59 | |
| 9 | 67 | |
| 10 | 57 |
About Neha Sangewar
Neha Sangewar is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (8 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Agronomy and Crop Science (294 citations), Ecology, Evolution, Behavior and Systematics (236 citations) and Cardiology and Cardiovascular Medicine (144 citations). Neha Sangewar has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include Waithaka Mwangi, Suryakant D. Waghela, Shehnaz Lokhandwala, Richard P. Bishop, Jocelyn Bray, Gabrielle F. Miller, Thomas G. Burrage, David A. Brake, John G. Neilan and Maureen Sheahan. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Frontiers in Immunology.
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.