Seema Kumar

4.7k total citations · 2 hit papers
109 papers, 3.3k citations indexed

About

Seema Kumar is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Seema Kumar has authored 109 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Public Health, Environmental and Occupational Health, 24 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Pathology and Forensic Medicine. Recurrent topics in Seema Kumar's work include Obesity, Physical Activity, Diet (36 papers), Vitamin D Research Studies (12 papers) and Obesity and Health Practices (12 papers). Seema Kumar is often cited by papers focused on Obesity, Physical Activity, Diet (36 papers), Vitamin D Research Studies (12 papers) and Obesity and Health Practices (12 papers). Seema Kumar collaborates with scholars based in United States, India and Belarus. Seema Kumar's co-authors include Aaron S. Kelly, Rebecca S. Bahn, Michael J. Coenen, Asma Javed, Prabhakaran Balagopal, Nader D. Nader, Amy L. Weaver, Francisco Lopez‐Jimenez, M. Hassan Murad and Marwan Jumean and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

Seema Kumar

101 papers receiving 3.2k citations

Hit Papers

Review of Childhood Obesity 2014 2026 2018 2022 2017 2014 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seema Kumar 1.2k 811 756 637 408 109 3.3k
Joseph C. Larson 936 0.8× 1.1k 1.4× 1.4k 1.9× 790 1.2× 206 0.5× 118 5.6k
Sherry Sherman 1.2k 1.0× 872 1.1× 2.2k 3.0× 659 1.0× 123 0.3× 20 4.8k
Mary Fran Sowers 806 0.7× 343 0.4× 1.3k 1.7× 390 0.6× 160 0.4× 34 3.5k
Chris Cowell 926 0.8× 176 0.2× 521 0.7× 634 1.0× 385 0.9× 74 2.3k
Stephanie S. Faubion 873 0.7× 608 0.7× 1.8k 2.4× 242 0.4× 140 0.3× 161 4.0k
Samar R. El Khoudary 772 0.7× 778 1.0× 2.3k 3.0× 484 0.8× 236 0.6× 145 4.9k
Renate T. de Jongh 396 0.3× 750 0.9× 566 0.7× 1.1k 1.8× 177 0.4× 81 3.8k
Nancy G. Sebring 1.4k 1.2× 218 0.3× 699 0.9× 1.5k 2.4× 249 0.6× 48 4.5k
Allan Gordon 595 0.5× 234 0.3× 287 0.4× 834 1.3× 463 1.1× 102 4.5k
Roger A. Lobo 2.4k 2.0× 1.3k 1.5× 3.9k 5.1× 553 0.9× 366 0.9× 70 8.3k

Countries citing papers authored by Seema Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Seema Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Seema Kumar. A scholar is included among the top collaborators of Seema Kumar 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 Seema Kumar. Seema Kumar 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.
Salama, Mostafa A., et al.. (2025). Updates on Anti-Obesity Medications in Children and Adolescents. Children. 12(10). 1390–1390.
2.
Kumar, Seema, et al.. (2025). Weight Loss With Topiramate and Phentermine Combination Therapy in a Patient With Bardet-Biedl Syndrome. JCEM Case Reports. 3(9). luaf164–luaf164.
4.
Joshi, Avni Y., et al.. (2024). Seroconversion following PPSV23 vaccination in children with type 1 diabetes mellitus. Vaccine. 45. 126592–126592. 1 indexed citations
5.
Kumar, B. Ravi, et al.. (2024). Impact of GNSS Accuracy on V2X Applications. 1–6.
6.
Rajjo, Tamim, Tom D. Thacher, Seema Kumar, et al.. (2023). Association of Weight Trajectory With Severe Obesity: A Case–Control Study. Childhood Obesity. 20(3). 169–177. 1 indexed citations
7.
Salama, Mostafa A., et al.. (2023). Adolescents with Type 2 Diabetes: Overcoming Barriers to Effective Weight Management. Diabetes Metabolic Syndrome and Obesity. Volume 16. 693–711. 6 indexed citations
8.
Salama, Mostafa A., et al.. (2023). Childhood Obesity, Diabetes, and Cardiovascular Disease Risk. The Journal of Clinical Endocrinology & Metabolism. 108(12). 3051–3066. 21 indexed citations
9.
Biggs, Bridget K., et al.. (2023). Translation of a family-based behavioral intervention for adolescent obesity using the RE-AIM framework and common steps from adaptation frameworks. Translational Behavioral Medicine. 13(9). 700–709. 5 indexed citations
10.
Kumar, Seema, Ambika P. Ashraf, Aida Lteif, Jane Lynch, & Tandy Aye. (2020). Pediatric Endocrinology: Perspectives of Pediatric Endocrinologists Regarding Career Choice and Recruitment of Trainees. Endocrine Practice. 27(7). 743–748. 5 indexed citations
11.
Hossain, Jobayer, et al.. (2018). Vitamin D Status and Cardiovascular Risk in Obesity: Effect of Physical Activity in Nonvitamin D Supplemented Adolescents. Metabolic Syndrome and Related Disorders. 16(4). 197–203. 20 indexed citations
12.
Lynch, Brian, Lila J. Finney Rutten, Patrick M. Wilson, et al.. (2018). The impact of positive contextual factors on the association between adverse family experiences and obesity in a National Survey of Children. Preventive Medicine. 116. 81–86. 17 indexed citations
13.
Kumar, Seema, Jobayer Hossain, Asma Javed, Iftikhar J. Kullo, & Prabhakaran Balagopal. (2017). Relationship of circulating spexin with markers of cardiovascular disease: a pilot study in adolescents with obesity. Pediatric Obesity. 13(6). 374–380. 57 indexed citations
14.
Kotagal, Suresh, et al.. (2017). Effect of Obstructive Sleep Apnea Treatment on Lipids in Obese Children. Children. 4(6). 44–44. 11 indexed citations
15.
Sauver, Jennifer L. St., Debra J. Jacobson, Chun Fan, et al.. (2017). Temporal trends in lipid testing among children and adolescents: A population based study. Preventive Medicine Reports. 8. 267–272. 16 indexed citations
16.
Joshi, Avni Y., et al.. (2016). Autoimmune Lymphoproliferative Syndrome: A Rare Cause of Disappearing HDL Syndrome. SHILAP Revista de lepidopterología. 2016. 1–4. 3 indexed citations
17.
Anderson, Kelley M., et al.. (2016). USING TECHNOLOGY TO REDUCE READMISSION RATES FOR CONGESTIVE HEART FAILURE IN HIGH RISK PATIENTS. Journal of the American College of Cardiology. 67(13). 1410–1410. 4 indexed citations
18.
Javed, Asma, Prabhakaran Balagopal, Adrian Vella, et al.. (2015). Association Between Thyrotropin Levels and Insulin Sensitivity in Euthyroid Obese Adolescents. Thyroid. 25(5). 478–484. 17 indexed citations
19.
Aggarwal, S., et al.. (2015). Systematic Review Of Burden Of Pancreatic Cancer. Value in Health. 18(7). A439–A439. 2 indexed citations
20.
Javed, Asma, Adrian Vella, Prabhakaran Balagopal, et al.. (2014). Cholecalciferol Supplementation Does Not Influence β-Cell Function and Insulin Action in Obese Adolescents: A Prospective Double-Blind Randomized Trial,. Journal of Nutrition. 145(2). 284–290. 38 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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