Priya S. Garg

20 total papers · 477 total citations
14 papers, 301 citations indexed

About

Priya S. Garg is a scholar working on Public Health, Environmental and Occupational Health, Gender Studies and General Health Professions. According to data from OpenAlex, Priya S. Garg has authored 14 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 5 papers in Gender Studies and 4 papers in General Health Professions. Recurrent topics in Priya S. Garg's work include Diversity and Career in Medicine (4 papers), Medical Education and Admissions (3 papers) and Palliative Care and End-of-Life Issues (3 papers). Priya S. Garg is often cited by papers focused on Diversity and Career in Medicine (4 papers), Medical Education and Admissions (3 papers) and Palliative Care and End-of-Life Issues (3 papers). Priya S. Garg collaborates with scholars based in United States, China and Uganda. Priya S. Garg's co-authors include Vijaya B. Kolachalama, Data Santorino, David R. Bangsberg, A. J. Guarino, Rebecca P. Petersen, Kristian R. Olson, Elizabeth E. Bailey, Shoumita Dasgupta, Samantha E. Kaplan and Jeffrey C. Winer and has published in prestigious journals such as Academic Medicine, Medical Teacher and npj Digital Medicine.

In The Last Decade

Priya S. Garg

11 papers receiving 292 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Priya S. Garg	134	76	70	69	50	14	301
Carl Preiksaitis	162 1.2×	63 0.8×	68 1.0×	33 0.5×	62 1.2×	23	347
S. Ayhan Çalışkan	135 1.0×	58 0.8×	62 0.9×	25 0.4×	41 0.8×	26	338
Brian C. Gin	178 1.3×	75 1.0×	80 1.1×	29 0.4×	41 0.8×	12	291
Robert Kaczmarczyk	169 1.3×	79 1.0×	59 0.8×	28 0.4×	80 1.6×	20	358
Teresa Festl‐Wietek	171 1.3×	69 0.9×	75 1.1×	20 0.3×	65 1.3×	26	302
Hussein Uraiby	96 0.7×	60 0.8×	104 1.5×	37 0.5×	17 0.3×	7	263
Young‐Hee Lee	88 0.7×	57 0.8×	97 1.4×	40 0.6×	15 0.3×	29	359
Ozan Karaca	135 1.0×	54 0.7×	36 0.5×	21 0.3×	43 0.9×	11	261
Sanghee Yeo	80 0.6×	48 0.6×	120 1.7×	32 0.5×	17 0.3×	21	274
Felipe Morgado	159 1.2×	97 1.3×	60 0.9×	31 0.4×	55 1.1×	9	284

Countries citing papers authored by Priya S. Garg

Since Specialization

Citations

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

Fields of papers citing papers by Priya S. Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priya S. Garg. 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 Priya S. Garg. The network helps show where Priya S. Garg may publish in the future.

Co-authorship network of co-authors of Priya S. Garg

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

All Works

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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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