Shivani Agarwal
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Surgery top 10%
- General Health Professions top 10%
- Speech and Hearing top 5%
- Co-authors
- Judith A. LongJeffrey S. GonzalezClyde B. SchechterOsagie EbekozienVictoria A. MillerAlyson K. MyersViral N. ShahAshby F. Walker
- Topics
- Diabetes Management and Research (36 papers)Diabetes and associated disorders (15 papers)Diabetes Treatment and Management (15 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Shivani Agarwal
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 877
- Genetics 381
- Surgery 371
- General Health Professions 192
- Speech and Hearing 92
Countries citing papers authored by Shivani Agarwal
This map shows the geographic impact of Shivani Agarwal'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 Shivani Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivani Agarwal more than expected).
Fields of papers citing papers by Shivani Agarwal
This network shows the impact of papers produced by Shivani Agarwal. 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 Shivani Agarwal. The network helps show where Shivani Agarwal may publish in the future.
Co-authorship network of co-authors of Shivani Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Agarwal. A scholar is included among the top collaborators of Shivani Agarwal 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 Shivani Agarwal. Shivani Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | 46 | |
| 10 | 47 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 74 | |
| 14 | 18 | |
| 15 | 13 | |
| 16 | 17 | |
| 17 | 23 | |
| 18 | 37 | |
| 19 | 121 | |
| 20 | 1 |
About Shivani Agarwal
Shivani Agarwal is a scholar working on Endocrinology, Diabetes and Metabolism, Speech and Hearing and Genetics, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (36 papers), Diabetes and associated disorders (15 papers) and Diabetes Treatment and Management (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (877 citations), Genetics (381 citations) and Speech and Hearing (92 citations). Shivani Agarwal has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Judith A. Long, Jeffrey S. Gonzalez, Clyde B. Schechter, Osagie Ebekozien, Victoria A. Miller, Alyson K. Myers, Viral N. Shah, Ashby F. Walker, Alandra Verdejo and Michael R. Rickels. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.