Rupa Makadia

1.6k total citations
12 papers, 598 citations indexed

About

Rupa Makadia is a scholar working on Epidemiology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Rupa Makadia has authored 12 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in General Health Professions. Recurrent topics in Rupa Makadia's 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). Rupa Makadia is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Machine Learning in Healthcare (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Rupa Makadia collaborates with scholars based in United States, United Kingdom and Netherlands. Rupa Makadia's co-authors include Patrick Ryan, M. Soledad Cepeda, Paul Stang, Erica A. Voss, Vivienne J. Zhu, Frank DeFalco, Qianli Ma, Chris Knoll, Ajit Londhe and Amy Matcho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ.

In The Last Decade

Rupa Makadia

11 papers receiving 589 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rupa Makadia United States	7	123	116	102	85	81	12	598
Anna Ostropolets United States	11	64 0.5×	57 0.5×	107 1.0×	51 0.6×	84 1.0×	33	459
Stephen R Ali United Kingdom	12	115 0.9×	163 1.4×	115 1.1×	124 1.5×	28 0.3×	48	1.0k
Evan Sholle United States	15	135 1.1×	56 0.5×	37 0.4×	43 0.5×	53 0.7×	40	543
Antoine Neuraz France	19	185 1.5×	381 3.3×	154 1.5×	63 0.7×	40 0.5×	63	1.2k
Erica A. Voss United States	11	76 0.6×	88 0.8×	23 0.2×	51 0.6×	44 0.5×	27	500
Ashish Verma United States	16	61 0.5×	103 0.9×	351 3.4×	120 1.4×	89 1.1×	84	1.0k
Marshall Nichols United States	14	201 1.6×	68 0.6×	28 0.3×	60 0.7×	40 0.5×	24	715
Valerie Kuan United Kingdom	13	55 0.4×	147 1.3×	26 0.3×	51 0.6×	62 0.8×	18	753
Robert Eriksson Denmark	11	142 1.2×	138 1.2×	44 0.4×	37 0.4×	19 0.2×	22	581

Countries citing papers authored by Rupa Makadia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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12 of 12 papers shown

Newbern, E. Claire, Azza Shoaibi, Kevin Haynes, et al.. (2025). A rapid cycle analytics framework for vaccine safety surveillance within a real-world data network: Experience with enhanced surveillance of the Janssen COVID-19 vaccine. Vaccine. 55. 127044–127044.

Rao, Gowtham, Azza Shoaibi, Rupa Makadia, et al.. (2025). CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. PLoS ONE. 20(1). e0310634–e0310634. 3 indexed citations

Makadia, Rupa, Azza Shoaibi, Gowtham Rao, et al.. (2023). Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. JAMIA Open. 6(4). ooad096–ooad096. 1 indexed citations

Hardin, Jill, Rupa Makadia, Shawn C. Black, et al.. (2023). Characteristics and treatment pathways in pediatric and adult hidradenitis suppurativa: An examination using real world data. JAAD International. 12. 124–132. 2 indexed citations

Ostropolets, Anna, Xintong Li, Rupa Makadia, et al.. (2022). Factors Influencing Background Incidence Rate Calculation: Systematic Empirical Evaluation Across an International Network of Observational Databases. Frontiers in Pharmacology. 13. 814198–814198. 10 indexed citations

Wang, Yi‐Ting, Rupa Makadia, Jill Hardin, et al.. (2021). Understanding patient journey in ulcerative colitis prior to biologic initiation: a 5-year exploration. BMC Gastroenterology. 21(1). 121–121. 1 indexed citations

Li, Xintong, Anna Ostropolets, Rupa Makadia, et al.. (2021). Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study. BMJ. 373. n1435–n1435. 130 indexed citations

Yuan, Chi, Patrick Ryan, Casey Ta, et al.. (2018). Criteria2Query: a natural language interface to clinical databases for cohort definition. Journal of the American Medical Informatics Association. 26(4). 294–305. 99 indexed citations

Cepeda, M. Soledad, Paul Stang, & Rupa Makadia. (2016). Depression Is Associated With High Levels of C-Reactive Protein and Low Levels of Fractional Exhaled Nitric Oxide. The Journal of Clinical Psychiatry. 77(12). 1666–1671. 62 indexed citations

10.

Yuan, Žhong, Rupa Makadia, Patrick Ryan, et al.. (2015). Incidence of ischemic stroke or transient ischemic attack in patients with multiple risk factors with or without atrial fibrillation: a retrospective cohort study. Current Medical Research and Opinion. 31(7). 1257–1266. 7 indexed citations

11.

Voss, Erica A., Rupa Makadia, Amy Matcho, et al.. (2015). Feasibility and utility of applications of the common data model to multiple, disparate observational health databases. Journal of the American Medical Informatics Association. 22(3). 553–564. 182 indexed citations

12.

Makadia, Rupa & Patrick Ryan. (2014). Transforming the Premier Perspective® hospital database to the OMOP Common Data Model. SHILAP Revista de lepidopterología. 2(1). 15–15. 101 indexed citations

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.

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