Rupa Makadia
- Artificial Intelligence top 10%
- Molecular Biology
- Infectious Diseases
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Patrick RyanPaul StangM. Soledad CepedaErica A. VossFrank DeFalcoMartijn J. SchuemieAmy MatchoChris Knoll
- Topics
- SARS-CoV-2 and COVID-19 Research (3 papers)Machine Learning in Healthcare (2 papers)Biomedical Text Mining and Ontologies (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Rupa Makadia
11 papers receiving 589 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 123
- Molecular Biology 116
- Infectious Diseases 102
- Surgery 85
- Cardiology and Cardiovascular Medicine 81
Countries citing papers authored by Rupa Makadia
This map shows the geographic impact of Rupa Makadia'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 Rupa Makadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupa Makadia more than expected).
Fields of papers citing papers by Rupa Makadia
This network shows the impact of papers produced by Rupa Makadia. 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 Rupa Makadia. The network helps show where Rupa Makadia may publish in the future.
Co-authorship network of co-authors of Rupa Makadia
This figure shows the co-authorship network connecting the top 25 collaborators of Rupa Makadia. A scholar is included among the top collaborators of Rupa Makadia 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 Rupa Makadia. Rupa Makadia 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 130 | |
| 8 | 99 | |
| 9 | 62 | |
| 10 | 182 | |
| 11 | 7 | |
| 12 | 101 |
About Rupa Makadia
Rupa Makadia is a scholar working on Toxicology, Biological Psychiatry and Behavioral Neuroscience, having authored 12 papers that have together received 598 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Machine Learning in Healthcare (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Informatics (35 citations), Health Information Management (69 citations) and Biological Psychiatry (36 citations). Rupa Makadia has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Patrick Ryan, Paul Stang, M. Soledad Cepeda, Erica A. Voss, Frank DeFalco, Martijn J. Schuemie, Amy Matcho, Chris Knoll, Ajit Londhe and Qianli Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ.
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.