Usman Iqbal

97 papers receiving 1.6k citations

Hit Papers

Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis 2025 · 21 citations
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Peers

Usman Iqbal
Comparison fields: 5 of 168
  • Health Informatics 58
  • Health Information Management 118
  • Geriatrics and Gerontology 69
  • General Health Professions 394
  • Genetics 164
Replace Rita Banzi with:
Rita Banzi Italy
Rachael Fleurence United States
Jill M. Pulley United States
Hans‐Georg Eichler Austria
Shirley Wang United States
Scott L. DuVall United States
William H. Crown United States
Melissa A. Robb United States
Richard Jacques United Kingdom
Robert M. Cronin United States
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Citations per year

Countries citing papers authored by Usman Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Usman Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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NUTRITIONAL STATUS AND DIETARY INTAKE OF BOARDER FEMALE STUDENTS OF THE UNIVERSITY OF AGRICULTURE, PESHAWAR, PAKISTAN
20171
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About Usman Iqbal

Usman Iqbal is a scholar working on Health Informatics, Health Information Management, Family Practice, Geriatrics and Gerontology and Medical Laboratory Technology, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (12 papers), Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Healthcare Quality and Management (4 papers). The work is most often cited by research in Health Informatics (58 citations), Health Information Management (118 citations), Geriatrics and Gerontology (69 citations), General Health Professions (394 citations) and Genetics (164 citations). Usman Iqbal has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Yu‐Chuan Li, Wen‐Shan Jian, Shabbir Syed-Abdul, Phung‐Anh Nguyen, Md. Mohaimenul Islam, Ruben A. Mesa, Robert Olivares, Suleman Atique, Hsuan‐Chia Yang and Jyotsna Mehta. Their work appears in journals such as Computer Methods and Programs in Biomedicine, International Journal for Quality in Health Care, Journal of the American Medical Informatics Association, Medicine and PLoS ONE.

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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