Nipam Shah

1.1k citations
22 papers · 593 · h-index 8

Impact in

    • Escherichia coli research studies
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

Nipam Shah

21 papers receiving 559 citations

Peers

Nipam Shah
Comparison fields: 5 of 80
  • Endocrinology 82
  • Rheumatology 113
  • Hepatology 51
  • Infectious Diseases 116
  • Public Health, Environmental and Occupational Health 118
Replace Kusum Sharma with:
Kusum Sharma India
Osman Alfurayh Saudi Arabia
M Khurshid Pakistan
Paul M. Weber United States
H Vinti France
Alexander Roberto Precioso Brazil
S. Kim Jacobson United Kingdom
John T. Carey United States
P. Bernard France
Grant G. Miller Canada
Nipam Shah relative to Kusum Sharma India Kusum Sharma's profile →
Citations per field
00.5×4.3×
Kusum Sharma · 1×
Citations per year

Countries citing papers authored by Nipam Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nipam Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nipam Shah, 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 Nipam Shah Line = papers co-authored together Nipam Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009244
2 2009141
3 201672
4 202159
5 201615
6 202012
7 201711
8 20209
9 20205
10 20205
11 20224
12 20222
13 20182
14 20202
15 20202
16 20212
17 20202
18 20221
19 20201
20 20231

About Nipam Shah

Nipam Shah is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Public Health, Environmental and Occupational Health, Emergency Medicine and Infectious Diseases, having authored 22 papers that have together received 593 indexed citations. Recurring topics across this work include Injury Epidemiology and Prevention (2 papers), Systemic Lupus Erythematosus Research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), COVID-19 and healthcare impacts (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Hearing Impairment and Communication (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Endocrinology (82 citations), Rheumatology (113 citations), Hepatology (51 citations), Infectious Diseases (116 citations) and Public Health, Environmental and Occupational Health (118 citations). Nipam Shah has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Herbert L. DuPont, David J. Ramsey, Jasvinder A. Singh, Amy S. Mudano, Arlene M. Correa, Jack A. Roth, Stephen G. Swisher, David C. Rice, Wayne L. Hofstetter and Ara A. Vaporciyan. Their work appears in journals such as Injury Epidemiology, Cochrane Database of Systematic Reviews, Pediatric Emergency Care, Clinical Toxicology and Hospital Pediatrics.

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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