Deeptha Sukumar

1.4k total citations
43 papers, 1.0k citations indexed

About

Deeptha Sukumar is a scholar working on Pathology and Forensic Medicine, Orthopedics and Sports Medicine and Physiology. According to data from OpenAlex, Deeptha Sukumar has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pathology and Forensic Medicine, 22 papers in Orthopedics and Sports Medicine and 16 papers in Physiology. Recurrent topics in Deeptha Sukumar's work include Vitamin D Research Studies (27 papers), Bone health and osteoporosis research (22 papers) and Magnesium in Health and Disease (10 papers). Deeptha Sukumar is often cited by papers focused on Vitamin D Research Studies (27 papers), Bone health and osteoporosis research (22 papers) and Magnesium in Health and Disease (10 papers). Deeptha Sukumar collaborates with scholars based in United States, Canada and Saudi Arabia. Deeptha Sukumar's co-authors include Sue A. Shapses, Yvette Schlussel, Theodore J. Stahl, Stephen H. Schneider, Christopher L. Gordon, Claudia S Riedt, Hasina Ambia‐Sobhan, Chris Gordon, Stella L. Volpe and Masaru Teramoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Deeptha Sukumar

39 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deeptha Sukumar United States 17 466 455 347 210 147 43 1.0k
Lan T. Ho‐Pham Vietnam 18 636 1.4× 428 0.9× 233 0.7× 230 1.1× 183 1.2× 48 1.3k
Claudia S Riedt United States 9 336 0.7× 398 0.9× 185 0.5× 255 1.2× 87 0.6× 11 759
Lars Bjørn Jensen Denmark 16 549 1.2× 329 0.7× 212 0.6× 160 0.8× 99 0.7× 21 1.1k
Albert Shieh United States 22 527 1.1× 185 0.4× 781 2.3× 164 0.8× 128 0.9× 47 1.3k
Sharilyn M. Hinders United States 8 508 1.1× 311 0.7× 285 0.8× 107 0.5× 285 1.9× 8 1.1k
Mary Ruth Stegman United States 10 645 1.4× 157 0.3× 310 0.9× 141 0.7× 100 0.7× 16 977
Helen Lambert United Kingdom 9 209 0.4× 154 0.3× 480 1.4× 70 0.3× 152 1.0× 16 853
Terhi A. Outila Finland 11 379 0.8× 166 0.4× 618 1.8× 71 0.3× 188 1.3× 15 977
Ben Kirk Australia 20 364 0.8× 1.0k 2.3× 83 0.2× 172 0.8× 99 0.7× 51 1.5k

Countries citing papers authored by Deeptha Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Deeptha Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deeptha Sukumar

This figure shows the co-authorship network connecting the top 25 collaborators of Deeptha Sukumar. A scholar is included among the top collaborators of Deeptha Sukumar 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 Deeptha Sukumar. Deeptha Sukumar 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.
Shewokis, Patricia A., et al.. (2025). Ethnic Variations in Dietary Calcium-to-Magnesium Ratios: Assessment Using Validated Mineral Food Frequency Questionnaires. Current Developments in Nutrition. 9. 106168–106168.
2.
Sukumar, Deeptha, et al.. (2025). The role of serum S100B and serum thyroid stimulating hormone levels in vitiligo. Archives of Dermatological Research. 317(1). 217–217.
3.
Nasser, Jennifer A., et al.. (2024). Ethnic Differences in the Relationship Between Visceral Adiposity and Waist Circumference in Healthy Adults. Current Developments in Nutrition. 8. 103526–103526. 1 indexed citations
4.
Dieterich-Hartwell, Rebekka, Deeptha Sukumar, & Girija Kaimal. (2023). A Creative Arts Therapy and Nutrition Education Approach for Postmenopausal Women. Art Therapy. 41(4). 212–218. 1 indexed citations
5.
Suhett, Lara Gomes, et al.. (2023). Healthy eating index and bone health markers in adults with metabolically healthy and unhealthy obese phenotypes. SHILAP Revista de lepidopterología. 32. 200186–200186. 1 indexed citations
6.
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8.
Liu, Longjian, et al.. (2022). Vitamin d deficiency and metabolic syndrome: The joint effect on cardiovascular and all-cause mortality in the United States adults. World Journal of Cardiology. 14(7). 411–426. 5 indexed citations
9.
Milliron, Brandy‐Joe, et al.. (2021). Dietary magnesium intake in relation to body mass index and glycemic indices in middle school students from the HEALTHY Study. Nutrition and Health. 27(2). 211–219. 2 indexed citations
10.
Milliron, Brandy‐Joe, et al.. (2021). Changes in Dietary Magnesium Intake and Risk of Type 2 Diabetes Mellitus in Middle School Students: Using Data from the HEALTHY Study. Journal of Nutrition. 151(11). 3442–3449. 2 indexed citations
11.
12.
Nicolò, Michele, Patricia A. Shewokis, Joseph I. Boullata, et al.. (2019). Sedentary behavior time as a predictor of hemoglobin A1c among adults, 40 to 59 years of age, living in the United States: National Health and Nutrition Examination Survey 2003 to 2004 and 2013 to 2014. Nutrition and Health. 25(4). 275–279. 4 indexed citations
13.
Sukumar, Deeptha, et al.. (2019). The Endocrine Role of Bone in Cardiometabolic Health. Current Nutrition Reports. 8(3). 281–294. 12 indexed citations
14.
Volpe, Stella L., et al.. (2019). Low dietary magnesium intake alters vitamin D—parathyroid hormone relationship in adults who are overweight or obese. Nutrition Research. 69. 82–93. 19 indexed citations
15.
Sukumar, Deeptha, Stephen H. Schneider, Yvette Schlussel, et al.. (2016). Three doses of vitamin D, bone mineral density, and geometry in older women during modest weight control in a 1-year randomized controlled trial. Osteoporosis International. 28(1). 377–388. 26 indexed citations
16.
Sukumar, Deeptha, Yvette Schlussel, Stephen H. Schneider, et al.. (2015). Moderate weight loss in obese and overweight men preserves bone quality. American Journal of Clinical Nutrition. 101(3). 659–667. 37 indexed citations
17.
Sukumar, Deeptha, Sue A. Shapses, & Stephen H. Schneider. (2015). Vitamin D supplementation during short-term caloric restriction in healthy overweight/obese older women: Effect on glycemic indices and serum osteocalcin levels. Molecular and Cellular Endocrinology. 410. 73–77. 17 indexed citations
18.
Shapses, Sue A., Deeptha Sukumar, Stephen H. Schneider, et al.. (2013). Vitamin D supplementation and calcium absorption during caloric restriction: a randomized double-blind trial. American Journal of Clinical Nutrition. 97(3). 637–645. 38 indexed citations
19.
Sukumar, Deeptha, et al.. (2011). The High Serum Monocyte Chemoattractant Protein-1 in Obesity Is Influenced by High Parathyroid Hormone and Not Adiposity. The Journal of Clinical Endocrinology & Metabolism. 96(6). 1852–1858. 32 indexed citations
20.
Sukumar, Deeptha, Yvette Schlussel, Claudia S Riedt, et al.. (2010). Obesity alters cortical and trabecular bone density and geometry in women. Osteoporosis International. 22(2). 635–645. 120 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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