Shubhada Agashe
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Epidemiology
- Cellular and Molecular Neuroscience
- Developmental Neuroscience top 10%
- Co-authors
- Rama VaidyaVidita A. VaidyaUma LadiwalaLynette A. DesouzaC. PrakasamM. N. SrinivasShobha UdipiJagmeet Madan
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Beetle Biology and Toxicology Studies (1 paper)Obesity, Physical Activity, Diet (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaMolecular and Cellular NeuroscienceFrontiers in Nutrition
- Partner nations
- India
In The Last Decade
Shubhada Agashe
11 papers receiving 345 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 170
- Molecular Biology 76
- Epidemiology 53
- Cellular and Molecular Neuroscience 47
- Developmental Neuroscience 42
Countries citing papers authored by Shubhada Agashe
This map shows the geographic impact of Shubhada Agashe'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 Shubhada Agashe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubhada Agashe more than expected).
Fields of papers citing papers by Shubhada Agashe
This network shows the impact of papers produced by Shubhada Agashe. 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 Shubhada Agashe. The network helps show where Shubhada Agashe may publish in the future.
Co-authorship network of co-authors of Shubhada Agashe
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhada Agashe. A scholar is included among the top collaborators of Shubhada Agashe 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 Shubhada Agashe. Shubhada Agashe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | Sleep Aberrations in Polycystic Ovarian Syndrome: An Observational Study of 38 Women | 1 |
| 7 | Bovine whey protein and other biological fluids as alternative to fetal bovine serum in supplementing cell culture media | 2 |
| 8 | 57 | |
| 9 | 2 | |
| 10 | 64 | |
| 11 | 187 |
About Shubhada Agashe
Shubhada Agashe is a scholar working on Developmental Neuroscience, Pharmacy and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 359 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Beetle Biology and Toxicology Studies (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Developmental Neuroscience (42 citations) and Behavioral Neuroscience (15 citations). Shubhada Agashe has collaborated with scholars based in India. Frequent co-authors include Rama Vaidya, Vidita A. Vaidya, Uma Ladiwala, Lynette A. Desouza, Rama Vaidya, C. Prakasam, M. N. Srinivas, Shobha Udipi, Jagmeet Madan and Ajay Phatak. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Neuroscience and Frontiers in Nutrition.
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.