Aparna Srinivasan
- Immunology top 10%
- Food Science top 5%
- Infectious Diseases top 10%
- Endocrinology top 5%
- Molecular Biology
- Co-authors
- Stephen J. McSorleyJoseph FoleyRajesh RavindranLeo LefrançoisAnthony T. VellaAmanda M. GriffinHans-Christian ReineckerRajwardhan Yadav
- Topics
- Salmonella and Campylobacter epidemiology (5 papers)Cardiovascular Function and Risk Factors (5 papers)Immunotherapy and Immune Responses (5 papers)
- Cited by
- EndocrinologyImmunologyFood Science
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Aparna Srinivasan
29 papers receiving 780 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 319
- Food Science 184
- Infectious Diseases 179
- Endocrinology 145
- Molecular Biology 122
Countries citing papers authored by Aparna Srinivasan
This map shows the geographic impact of Aparna Srinivasan'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 Aparna Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aparna Srinivasan more than expected).
Fields of papers citing papers by Aparna Srinivasan
This network shows the impact of papers produced by Aparna Srinivasan. 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 Aparna Srinivasan. The network helps show where Aparna Srinivasan may publish in the future.
Co-authorship network of co-authors of Aparna Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Aparna Srinivasan. A scholar is included among the top collaborators of Aparna Srinivasan 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 Aparna Srinivasan. Aparna Srinivasan 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 | An Accurate and Rapidly Calibrating Speech Neuroprosthesisbreakdown → | 48 |
| 3 | 11 | |
| 4 | SPIRE-fluent: A Self-Learning App for Tutoring Oral Fluency to Second Language English Learners. | 3 |
| 5 | 7 | |
| 6 | Association and path analysis in marigold (Tagetes spp.) genotypes under drought stress conditions | 1 |
| 7 | 16 | |
| 8 | 26 | |
| 9 | A Pattern Matching Approach to Streaming Slot Filling. | 0 |
| 10 | 5 | |
| 11 | 42 | |
| 12 | 55 | |
| 13 | 9 | |
| 14 | 57 | |
| 15 | 194 | |
| 16 | 67 | |
| 17 | 58 | |
| 18 | 14 | |
| 19 | 29 | |
| 20 | 37 |
About Aparna Srinivasan
Aparna Srinivasan is a scholar working on Endocrinology, Immunology and Biophysics, having authored 30 papers that have together received 803 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Endocrinology (145 citations), Immunology (319 citations) and Food Science (184 citations). Aparna Srinivasan has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Stephen J. McSorley, Joseph Foley, Rajesh Ravindran, Leo Lefrançois, Anthony T. Vella, Amanda M. Griffin, Hans-Christian Reinecker, Rajwardhan Yadav, Jan Hendrik Niess and Thomas A. Stoklasek. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Immunity.
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.