Rahul Ganguly

1.2k total citations
52 papers, 852 citations indexed

About

Rahul Ganguly is a scholar working on Endocrinology, Diabetes and Metabolism, Safety Research and Clinical Psychology. According to data from OpenAlex, Rahul Ganguly has authored 52 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Safety Research and 7 papers in Clinical Psychology. Recurrent topics in Rahul Ganguly's work include Diabetes Treatment and Management (13 papers), Disability Education and Employment (9 papers) and Diabetes Management and Research (8 papers). Rahul Ganguly is often cited by papers focused on Diabetes Treatment and Management (13 papers), Disability Education and Employment (9 papers) and Diabetes Management and Research (8 papers). Rahul Ganguly collaborates with scholars based in United States, Australia and Canada. Rahul Ganguly's co-authors include Bradley C. Martin, L.S. Miller, Jeffrey A. Kotzan, Harsha N. Perera, Wayne Weng, Sheldon X. Kong, Todd Hobbs, Abhilasha Ramasamy, Matthew L. Maciejewski and Andrea K. Biddle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Annals of the Rheumatic Diseases.

In The Last Decade

Rahul Ganguly

48 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Ganguly United States 16 255 223 138 133 112 52 852
Sandra L. Tunis United States 18 402 1.6× 191 0.9× 150 1.1× 71 0.5× 82 0.7× 50 879
John Muench United States 15 232 0.9× 93 0.4× 77 0.6× 107 0.8× 278 2.5× 48 934
Klaus Weckbecker Germany 15 116 0.5× 93 0.4× 67 0.5× 77 0.6× 125 1.1× 80 783
Yasuyuki Okumura Japan 20 347 1.4× 59 0.3× 303 2.2× 69 0.5× 203 1.8× 89 1.1k
Mukaila Raji United States 19 186 0.7× 58 0.3× 88 0.6× 46 0.3× 180 1.6× 76 969
Riad Dirani United States 22 573 2.2× 64 0.3× 156 1.1× 66 0.5× 225 2.0× 42 1.2k
Rebecca Walwyn United Kingdom 17 457 1.8× 98 0.4× 301 2.2× 71 0.5× 260 2.3× 58 1.0k
Nico Hutter Germany 12 152 0.6× 277 1.2× 102 0.7× 111 0.8× 193 1.7× 13 909
Brenda R. Motheral United States 16 196 0.8× 62 0.3× 128 0.9× 59 0.4× 143 1.3× 35 1.1k
Alan Adelman United States 15 180 0.7× 141 0.6× 26 0.2× 83 0.6× 273 2.4× 48 914

Countries citing papers authored by Rahul Ganguly

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Ganguly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Ganguly

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Ganguly. A scholar is included among the top collaborators of Rahul Ganguly 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 Rahul Ganguly. Rahul Ganguly 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.
Sharma, Ekta, Massimo Salvi, Ru‐San Tan, et al.. (2025). A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders. Information Fusion. 124. 103441–103441. 1 indexed citations
2.
Welikala, Roshan A., Gordon Johnson, Farzana Rahman, et al.. (2024). Artificial Intelligence-Enabled Retinal Vasculometry at Scale Utilizing the UK Biobank, CLSA, and NEL DESP Datasets. 1–8. 2 indexed citations
3.
Stephenson, Jennifer, et al.. (2023). How Sustainable Are Claims about Evidence-Based Content in Australian Courses for Preparing Special Educators?. Education Sciences. 13(2). 105–105. 1 indexed citations
4.
Stephenson, Jennifer, et al.. (2022). Preparing Australian Special Educators: Courses and Content. ˜The œAustralian journal of teacher education. 47(10). 59–76. 1 indexed citations
5.
Kabiri, Mina, Abhilasha Ramasamy, Rahul Ganguly, et al.. (2021). Simulating the Fiscal Impact of Anti-Obesity Medications as an Obesity Reduction Strategy. INQUIRY The Journal of Health Care Organization Provision and Financing. 58. 1144543348–1144543348. 8 indexed citations
6.
7.
Weng, Wayne, Sheldon X. Kong, Rahul Ganguly, et al.. (2020). The prevalence of cardiovascular disease by vascular bed and impact on healthcare costs in a large, real‐world population with type 2 diabetes. Endocrinology Diabetes & Metabolism. 3(2). e00106–e00106. 8 indexed citations
8.
Pantalone, Kevin M., Anita D. Misra‐Hebert, Todd Hobbs, et al.. (2020). The Probability of A1C Goal Attainment in Patients With Uncontrolled Type 2 Diabetes in a Large Integrated Delivery System: A Prediction Model. Diabetes Care. 43(8). 1910–1919. 34 indexed citations
9.
Ramasamy, Abhilasha, François Laliberté, Dominique Lejeune, et al.. (2019). Direct, Absenteeism, and Disability Cost Burden of Obesity Among Privately Insured Employees. Journal of Occupational and Environmental Medicine. 62(2). 98–107. 2 indexed citations
10.
Ramasamy, Abhilasha, et al.. (2019). Ten-year Medicare budget impact of increased coverage for anti-obesity intervention. Journal of Medical Economics. 22(10). 1096–1104. 12 indexed citations
11.
Weng, Wayne, Ye Tian, Sheldon X. Kong, et al.. (2019). The prevalence of cardiovascular disease and antidiabetes treatment characteristics among a large type 2 diabetes population in the United States. Endocrinology Diabetes & Metabolism. 2(3). e00076–e00076. 43 indexed citations
12.
13.
Perera, Harsha N. & Rahul Ganguly. (2016). Construct Validity of Scores From the Connor–Davidson Resilience Scale in a Sample of Postsecondary Students With Disabilities. Assessment. 25(2). 193–205. 28 indexed citations
14.
Ganguly, Rahul, et al.. (2015). Resilience/thriving in post-secondary students with disabilities. 2 indexed citations
15.
Feldman, Steven R., Susan D. Mathias, Brad Schenkel, et al.. (2014). Development Of A Patient-Reported Outcomes Measure For Psoriasis: The Psoriasis Symptoms, Signs, And Impact Questionnaire. Value in Health. 17(3). A289–A289. 1 indexed citations
16.
Nair, Kavita V., Jinhee Park, Pamela Wolfe, et al.. (2009). Consumer-Driven Health Plans: Impact on Utilization and Expenditures for Chronic Disease Sufferers. Journal of Occupational and Environmental Medicine. 51(5). 594–603. 13 indexed citations
17.
Martin, Bradley C., et al.. (2003). Utilization patterns and net direct medical cost to Medicaid of irritable bowel syndrome. Current Medical Research and Opinion. 19(8). 771–780. 25 indexed citations
18.
Ganguly, Rahul, L.S. Miller, & Bradley C. Martin. (2002). Future employability, a new approach to cost-effectiveness analysis of antipsychotic therapy. Schizophrenia Research. 63(1-2). 111–119. 10 indexed citations
19.
Ganguly, Rahul. (2001). The economic burden of irritable bowel syndrome to Medicaid. The American Journal of Gastroenterology. 96(9). S267–S267. 2 indexed citations
20.
Sk, Garg, et al.. (1993). Parathyroid adenoma in northern Nigeria.. PubMed. 45(1). 35–7. 3 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.

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