S. Nigam
Impact in
-
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
-
- Primary Care and Health Outcomes 7
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Co-authors
- Candace Gunnarsson (3 shared papers)Mehmet Daskiran (6 shared papers)Henry Y. Wang (4 shared papers)Akiyoshi Sakoda (3 shared papers)Aaron Smith–McLallen (1 shared paper)Saul Blecker (1 shared paper)Ann Marie Schmidt (1 shared paper)David Sontag (1 shared paper)
- Journals
- Value in Health (6 papers)Journal of Medical Economics (2 papers)Diabetes Obesity and Metabolism (2 papers)Population Health Management (2 papers)AIChE Journal (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
S. Nigam
30 papers receiving 783 citations
Peers
Comparison fields: 5 of 120
- Health Information Management 79
- Health Informatics 13
- Internal Medicine 28
- Endocrinology, Diabetes and Metabolism 110
- Family Practice 10
Countries citing papers authored by S. Nigam
This map shows the geographic impact of S. Nigam'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 S. Nigam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Nigam more than expected).
Fields of papers citing papers by S. Nigam
This network shows the impact of papers produced by S. Nigam. 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 S. Nigam. The network helps show where S. Nigam may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Nigam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2010 | 105 | |
| 3 | 2014 | 93 | |
| 4 | 1988 | 67 | |
| 5 | 2010 | 47 | |
| 6 | 2014 | 34 | |
| 7 | 2011 | 32 | |
| 8 | 2019 | 32 | |
| 9 | 2019 | 32 | |
| 10 | 2020 | 28 | |
| 11 | Medical homes and cost and utilization among high-risk patients. | 2014 | 28 |
| 12 | 2012 | 23 | |
| 13 | 1988 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2018 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 15 | |
| 18 | 2014 | 13 | |
| 19 | Medical homes: cost effects of utilization by chronically ill patients. | 2015 | 10 |
| 20 | 1990 | 8 |
About S. Nigam
S. Nigam is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism, Epidemiology, Economics and Econometrics and Surgery, having authored 33 papers that have together received 815 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (7 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Chronic Disease Management Strategies (3 papers), Healthcare Policy and Management (2 papers), Protein purification and stability (2 papers), Medication Adherence and Compliance (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Health Information Management (79 citations), Health Informatics (13 citations), Internal Medicine (28 citations), Endocrinology, Diabetes and Metabolism (110 citations) and Family Practice (10 citations). S. Nigam has collaborated with scholars based in United States, China and India. Frequent co-authors include Candace Gunnarsson, Mehmet Daskiran, Henry Y. Wang, Akiyoshi Sakoda, Aaron Smith–McLallen, Saul Blecker, Ann Marie Schmidt, David Sontag, Narges Razavian and Guy David. Their work appears in journals such as Value in Health, Journal of Medical Economics, Diabetes Obesity and Metabolism, Population Health Management and AIChE Journal.
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.