Arnav Shah

628 total citations
10 papers, 217 citations indexed

About

Arnav Shah is a scholar working on General Health Professions, Economics and Econometrics and Infectious Diseases. According to data from OpenAlex, Arnav Shah has authored 10 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 4 papers in Economics and Econometrics and 3 papers in Infectious Diseases. Recurrent topics in Arnav Shah's work include Healthcare Policy and Management (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Global Health Workforce Issues (2 papers). Arnav Shah is often cited by papers focused on Healthcare Policy and Management (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Global Health Workforce Issues (2 papers). Arnav Shah collaborates with scholars based in United States, Canada and Pakistan. Arnav Shah's co-authors include Michelle M. Doty, Eric C. Schneider, Dana Sarnak, Robin Osborn, Ray Block, Robert P. Lennon, Reginald D. Williams, Eric B. Schneider, David Blumenthal and Faryal Mehwish Awan and has published in prestigious journals such as New England Journal of Medicine, Scientific Reports and Health Affairs.

In The Last Decade

Arnav Shah

9 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnav Shah United States	5	105	59	51	51	36	10	217
Matthew K. Wynia United States	6	159 1.5×	59 1.0×	41 0.8×	28 0.5×	22 0.6×	13	245
Wanchun Xu China	9	98 0.9×	55 0.9×	26 0.5×	34 0.7×	54 1.5×	20	235
Mary Qiu United States	11	79 0.8×	61 1.0×	40 0.8×	57 1.1×	67 1.9×	19	306
Erin B. Palmisano United States	11	119 1.1×	45 0.8×	61 1.2×	25 0.5×	20 0.6×	25	292
Arianna Maever L. Amit Philippines	8	76 0.7×	46 0.8×	24 0.5×	35 0.7×	41 1.1×	23	262
Yiu‐Shing Lau United Kingdom	10	185 1.8×	43 0.7×	31 0.6×	110 2.2×	32 0.9×	33	331
Veincent Christian Filipino Pepito Philippines	8	59 0.6×	40 0.7×	28 0.5×	25 0.5×	48 1.3×	28	221
Xiaoning Hao China	8	69 0.7×	109 1.8×	74 1.5×	17 0.3×	36 1.0×	14	265
Elzo Pereira Pinto Brazil	13	229 2.2×	55 0.9×	42 0.8×	25 0.5×	23 0.6×	56	376
Luz Adriana Matiz United States	7	183 1.7×	52 0.9×	30 0.6×	35 0.7×	23 0.6×	17	293

Countries citing papers authored by Arnav Shah

Since Specialization

Citations

This map shows the geographic impact of Arnav Shah'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 Arnav Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnav Shah more than expected).

Fields of papers citing papers by Arnav Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnav Shah. 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 Arnav Shah. The network helps show where Arnav Shah may publish in the future.

Co-authorship network of co-authors of Arnav Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Arnav Shah. A scholar is included among the top collaborators of Arnav Shah 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 Arnav Shah. Arnav Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Awan, Faryal Mehwish, et al.. (2025). An integrated approach to predict genetic risk for Mosquito-Borne diseases in the local Population of Tehsil Haripur, Khyber Pakhtunkhwa, Pakistan. Scientific Reports. 15(1). 3478–3478.

2.

Blumenthal, David, et al.. (2024). The Failing U.S. Health System. New England Journal of Medicine. 391(17). 1566–1568. 4 indexed citations

3.

Fitzpatrick, Meagan C., Seyed M. Moghadas, Thomas N. Vilches, et al.. (2023). Estimated US Pediatric Hospitalizations and School Absenteeism Associated With Accelerated COVID-19 Bivalent Booster Vaccination. JAMA Network Open. 6(5). e2313586–e2313586. 2 indexed citations

4.

Lennon, Robert P., et al.. (2021). Underserved population acceptance of combination influenza-COVID-19 booster vaccines. Vaccine. 40(4). 562–567. 51 indexed citations

5.

Schneider, Eric B., et al.. (2021). Reflecting poorly: health care in the U.S. compared to other high-income countries. 21 indexed citations

6.

Ganguli, Ishani, Robert J. Blendon, John M. Benson, Arnav Shah, & Eric C. Schneider. (2020). How do health care experiences of the seriously ill differ by disease?. Healthcare. 8(3). 100446–100446. 2 indexed citations

7.

Baumgartner, Jeannine, et al.. (2020). Eliminating the Gap: The Impact of the Affordable Care Act on Asian Americans. Health Services Research. 55(S1). 57–57. 1 indexed citations

8.

Shah, Arnav, et al.. (2020). The Role of Primary Care Practices in Screening for Patient Social Needs in the United States and Other High‐Income Countries. Health Services Research. 55(S1). 63–64. 2 indexed citations

9.

Doty, Michelle M., et al.. (2019). Primary Care Physicians’ Role In Coordinating Medical And Health-Related Social Needs In Eleven Countries. Health Affairs. 39(1). 115–123. 71 indexed citations

10.

Osborn, Robin, et al.. (2017). Older Americans Were Sicker And Faced More Financial Barriers To Health Care Than Counterparts In Other Countries. Health Affairs. 36(12). 2123–2132. 63 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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