Pooja Chandrashekar
- Applied Psychology top 5%
- General Health Professions top 10%
- Clinical Psychology
- Sociology and Political Science
- Experimental and Cognitive Psychology
- Co-authors
- Sachin JainWei WangBonnie B. BlanchfieldRobert SiegelJohn A. NaslundJohn S. BrownsteinJared B. HawkinsYulin Hswen
- Topics
- Hearing, Cochlea, Tinnitus, Genetics (2 papers)Healthcare Policy and Management (2 papers)Primary Care and Health Outcomes (2 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaJournal of General Internal Medicine
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Pooja Chandrashekar
11 papers receiving 253 citations
Peers
Comparison fields: 5 of 63
- Applied Psychology 154
- General Health Professions 93
- Clinical Psychology 78
- Sociology and Political Science 61
- Experimental and Cognitive Psychology 55
Countries citing papers authored by Pooja Chandrashekar
This map shows the geographic impact of Pooja Chandrashekar'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 Pooja Chandrashekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Chandrashekar more than expected).
Fields of papers citing papers by Pooja Chandrashekar
This network shows the impact of papers produced by Pooja Chandrashekar. 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 Pooja Chandrashekar. The network helps show where Pooja Chandrashekar may publish in the future.
Co-authorship network of co-authors of Pooja Chandrashekar
This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Chandrashekar. A scholar is included among the top collaborators of Pooja Chandrashekar 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 Pooja Chandrashekar. Pooja Chandrashekar 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 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 197 | |
| 11 | The Case for Product Management Education in Clinical Training | 1 |
| 12 | 14 |
About Pooja Chandrashekar
Pooja Chandrashekar is a scholar working on Speech and Hearing, Sensory Systems and General Health Professions, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (2 papers), Healthcare Policy and Management (2 papers) and Primary Care and Health Outcomes (2 papers). The work is most often cited by research in Applied Psychology (154 citations), Experimental and Cognitive Psychology (55 citations) and Clinical Psychology (78 citations). Pooja Chandrashekar has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Sachin Jain, Wei Wang, Bonnie B. Blanchfield, Robert Siegel, John A. Naslund, John S. Brownstein, Jared B. Hawkins, Yulin Hswen, Amol S. Navathe and Christopher Chen. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Journal of General Internal Medicine.
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.