S. Nigam

1.1k total citations
34 papers, 808 citations indexed

About

S. Nigam is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics and General Health Professions. According to data from OpenAlex, S. Nigam has authored 34 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Economics and Econometrics and 8 papers in General Health Professions. Recurrent topics in S. Nigam's work include Healthcare Policy and Management (7 papers), Primary Care and Health Outcomes (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). S. Nigam is often cited by papers focused on Healthcare Policy and Management (7 papers), Primary Care and Health Outcomes (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). S. Nigam collaborates with scholars based in United States, China and United Kingdom. S. Nigam's co-authors include Candace Gunnarsson, Mehmet Daskiran, Henry Y. Wang, Akiyoshi Sakoda, Saul Blecker, Aaron Smith–McLallen, Ann Marie Schmidt, Narges Razavian, David Sontag and Guy David and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Stroke.

In The Last Decade

S. Nigam

31 papers receiving 774 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Nigam United States 16 188 168 149 122 121 34 808
Emma Eggleston United States 17 339 1.8× 197 1.2× 213 1.4× 175 1.4× 106 0.9× 24 1.2k
Vivienne J. Zhu United States 13 220 1.2× 71 0.4× 148 1.0× 76 0.6× 34 0.3× 24 784
Ram D. Pathak United States 14 378 2.0× 92 0.5× 118 0.8× 80 0.7× 46 0.4× 24 725
Yuji Nishizaki Japan 19 82 0.4× 170 1.0× 115 0.8× 199 1.6× 75 0.6× 150 1.2k
Aladeen Alloubani Jordan 13 77 0.4× 161 1.0× 124 0.8× 60 0.5× 24 0.2× 41 781
Ángel Arturo López‐González Spain 19 323 1.7× 146 0.9× 230 1.5× 91 0.7× 32 0.3× 134 1.2k
Esther Heesemann Germany 2 676 3.6× 155 0.9× 260 1.7× 153 1.3× 87 0.7× 4 1.3k
Vera Sagalova Germany 7 676 3.6× 176 1.0× 263 1.8× 153 1.3× 91 0.8× 9 1.4k
Hamzah Alzubaidi United Arab Emirates 14 152 0.8× 168 1.0× 153 1.0× 51 0.4× 85 0.7× 59 873
Angeliki M. Angelidi United States 13 167 0.9× 61 0.4× 108 0.7× 119 1.0× 24 0.2× 29 708

Countries citing papers authored by S. Nigam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of S. Nigam

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

All Works

20 of 20 papers shown
1.
Tang, Ting, Charles Stoecker, Alessandra N. Bazzano, et al.. (2024). CO40 Zero Dollar Drug Co-Pay Program Increases Medication Adherence and Utilization Among Members With Diabetes in Louisiana. Value in Health. 27(6). S23–S24.
2.
Almaqtari, Faozi A., et al.. (2024). The Impact of Board Structure, IT Governance, and Fintech on Green Finance and Sustainability: An Integrated Model. Strategic Change. 34(2). 337–357. 4 indexed citations
3.
Nigam, S., et al.. (2021). PCV45 The Healthcare Effects of the Ochsner Hypertension Digital Medicine Program. Value in Health. 24. S75–S75. 1 indexed citations
4.
Shao, Yixue, Charles Stoecker, Elizabeth Nauman, et al.. (2021). RE4 The IMPACT of Reimbursement for NON-Face-to-Face Chronic Care Management on Health Outcomes and Health Care Utilization Among Patients with Type 2 Diabetes in Louisiana. Value in Health. 24. S239–S239. 1 indexed citations
5.
Friedman, Ari B., et al.. (2021). Delayed emergencies: The composition and magnitude of non‐respiratory emergency department visits during the COVID‐19 pandemic. SHILAP Revista de lepidopterología. 2(1). e12349–e12349. 19 indexed citations
6.
Nigam, S., et al.. (2020). Evaluation of four disease management programs: evidence from blue cross blue shield of Louisiana. Journal of Medical Economics. 23(6). 557–565. 1 indexed citations
7.
Shen, Yun, Jian Zhou, Lizheng Shi, et al.. (2020). Association between visit‐to‐visit HbA1c variability and the risk of cardiovascular disease in patients with type 2 diabetes. Diabetes Obesity and Metabolism. 23(1). 125–135. 27 indexed citations
8.
Shen, Yun, Jian Zhou, Lizheng Shi, et al.. (2020). Effectiveness of sodium‐glucose co‐transporter‐2 inhibitors on ischaemic heart disease. Diabetes Obesity and Metabolism. 22(7). 1197–1206. 7 indexed citations
9.
Shen, Yun, Lizheng Shi, Elizabeth Nauman, et al.. (2020). Association between Hemoglobin A1c and Stroke Risk in Patients with Type 2 Diabetes. Journal of Stroke. 22(1). 87–98. 14 indexed citations
10.
Nigam, S.. (2018). Telehealth and Telemedicine: Clinical and Regulatory Issues. 1(1). 2 indexed citations
11.
Williams, H., et al.. (2018). Long-Term Benefits of Employee Wellness Programs: A Blue Cross Blue Shield of Louisiana (BCBSLA) Case Study. Value in Health. 21. S140–S140. 2 indexed citations
12.
Lorenzana, Adonis, et al.. (2016). USING TEXT NOTES FROM CALL CENTER DATA TO PREDICT HOSPITALIZATION. Value in Health. 19(3). A87–A87. 1 indexed citations
13.
Razavian, Narges, Saul Blecker, Ann Marie Schmidt, et al.. (2015). Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors. Big Data. 3(4). 277–287. 137 indexed citations
14.
Roy, Sanjoy, Anuprita Patkar, Mehmet Daskiran, et al.. (2014). Clinical and Economic Burden of Surgical Site Infection in Hysterectomy. Surgical Infections. 15(3). 266–273. 33 indexed citations
15.
Snyder, Richard, et al.. (2014). Patient-Centered Medical Home Impact on Health Plan Members With Diabetes. Journal of Public Health Management and Practice. 20(5). E12–E20. 13 indexed citations
16.
Virdi, Naunihal, Mehmet Daskiran, S. Nigam, Chris M Kozma, & Praveen Raja. (2012). The Association of Self-Monitoring of Blood Glucose Use with Medication Adherence and Glycemic Control in Patients with Type 2 Diabetes Initiating Non-Insulin Treatment. Diabetes Technology & Therapeutics. 14(9). 790–798. 23 indexed citations
17.
Hammond, Jeff R., Chris M Kozma, James Hart, et al.. (2011). Rates of Venous Thromboembolism Among Patients with Major Surgery for Cancer. Annals of Surgical Oncology. 18(12). 3240–3247. 30 indexed citations
18.
Borah, Bijan J., S. Nigam, M. Steinbuch, & C. Neslusan. (2010). PDB20 AN ANALYSIS OF DIFFERENCES IN COST QUARTILES FOR PATIENTS WITH TYPE 2 DIABETES IN A LARGE CLAIMS DATABASE WITH LINKED LABORATORY RESULTS. Value in Health. 13(3). A58–A58. 1 indexed citations
19.
20.
Sakoda, Akiyoshi, S. Nigam, & Henry Y. Wang. (1990). Protein separation using membrane-encapsulated soluble ligand conjugates. Enzyme and Microbial Technology. 12(5). 349–354. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Emma Eggleston Breakdown of academic impact, for papers by Vivienne J. Zhu Breakdown of academic impact, for papers by Ram D. Pathak Breakdown of academic impact, for papers by Yuji Nishizaki Breakdown of academic impact, for papers by Aladeen Alloubani Breakdown of academic impact, for papers by Ángel Arturo López‐González Breakdown of academic impact, for papers by Esther Heesemann Breakdown of academic impact, for papers by Vera Sagalova Breakdown of academic impact, for papers by Hamzah Alzubaidi Breakdown of academic impact, for papers by Angeliki M. Angelidi
Rankless by CCL
2026