Payal Modi

25 papers receiving 338 citations

Peers

Payal Modi
Comparison fields: 5 of 68
  • Emergency Medicine 88
  • Critical Care and Intensive Care Medicine 40
  • Emergency Medical Services 49
  • Infectious Diseases 105
  • Virology 18
Replace Kevin Chan with:
Kevin Chan Canada
Eshetu Haileselassie Engeda Ethiopia
Chathurani Sigera Sri Lanka
Jeff A. Robison United States
Jean-Christophe Lucet France
Margaret A. McArthur Canada
Nongyao Kasatpibal Thailand
Binyam Minuye Birhane Ethiopia
Meghan Murray United States
Jae Sim Jeong South Korea
Payal Modi relative to Kevin Chan Canada Kevin Chan's profile →
Citations per field
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Kevin Chan · 1×
Citations per year

Countries citing papers authored by Payal Modi

Since Specialization
Citations

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

Fields of papers citing papers by Payal Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Payal Modi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Payal Modi Line = papers co-authored together Payal Modi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 201538
3 201633
4 201531
5 201529
6 201626
7 201823
8 201322
9 201715
10 201811
11 20138
12 20137
13 20197
14 20236
15 20156
16 20226
17 20235
18 20195
19 20164
20 20173

About Payal Modi

Payal Modi is a scholar working on Emergency Medicine, Infectious Diseases, Emergency Medical Services, General Health Professions and Clinical Psychology, having authored 27 papers that have together received 340 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (10 papers), Trauma and Emergency Care Studies (9 papers), Disaster Response and Management (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Migration, Health and Trauma (3 papers), Child Nutrition and Water Access (3 papers), Global Health and Surgery (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Emergency Medicine (88 citations), Critical Care and Intensive Care Medicine (40 citations), Emergency Medical Services (49 citations), Infectious Diseases (105 citations) and Virology (18 citations). Payal Modi has collaborated with scholars based in United States, Bangladesh and Ghana. Frequent co-authors include Adam C. Levine, Nur Alam, Sabiha Nasrin, Justin Glavis‐Bloom, Christopher H. Schmid, Robert Partridge, Angela Fisher, Muttaquina Hossain, Kimberly Pringle and Jessica A. Davila. Their work appears in journals such as Academic Emergency Medicine, Annals of Emergency Medicine, Western Journal of Emergency Medicine, AEM Education and Training and Medical Education Online.

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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