S. Sendhil Velan

2.9k total citations
90 papers, 1.5k citations indexed

About

S. Sendhil Velan is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Sendhil Velan has authored 90 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Physiology, 26 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Sendhil Velan's work include Adipose Tissue and Metabolism (29 papers), Advanced MRI Techniques and Applications (23 papers) and Cardiovascular Disease and Adiposity (20 papers). S. Sendhil Velan is often cited by papers focused on Adipose Tissue and Metabolism (29 papers), Advanced MRI Techniques and Applications (23 papers) and Cardiovascular Disease and Adiposity (20 papers). S. Sendhil Velan collaborates with scholars based in Singapore, United States and United Kingdom. S. Sendhil Velan's co-authors include Melvin Khee‐Shing Leow, Suresh Anand Sadananthan, Raymond R. Raylman, Navin Michael, Richard G. Spencer, Susan K. Lemieux, Periannan Kuppusamy, Yung Seng Lee, Jay L. Zweíer and Jadegoud Yaligar and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

S. Sendhil Velan

85 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Sendhil Velan Singapore	23	515	419	278	208	206	90	1.5k
Raj K. Gupta United States	28	417 0.8×	341 0.8×	729 2.6×	141 0.7×	296 1.4×	110	2.6k
Michael S. Dodd United Kingdom	22	606 1.2×	379 0.9×	587 2.1×	119 0.6×	311 1.5×	38	2.3k
Maren R. Laughlin United States	20	738 1.4×	189 0.5×	334 1.2×	280 1.3×	296 1.4×	40	1.5k
Johan Berglund Sweden	20	355 0.7×	492 1.2×	145 0.5×	305 1.5×	202 1.0×	55	1.9k
Peter Vermathen Switzerland	33	515 1.0×	1.5k 3.6×	520 1.9×	386 1.9×	101 0.5×	103	3.2k
Sidhartha Tan United States	32	328 0.6×	275 0.7×	471 1.7×	256 1.2×	105 0.5×	79	3.0k
Nina B. Radford United States	20	498 1.0×	399 1.0×	442 1.6×	74 0.4×	908 4.4×	43	2.1k
A. Schmid Austria	26	743 1.4×	671 1.6×	630 2.3×	412 2.0×	206 1.0×	68	2.0k
Anke Dahlmann Germany	22	597 1.2×	157 0.4×	398 1.4×	44 0.2×	357 1.7×	33	2.0k
R. E. Anderson Sweden	29	175 0.3×	241 0.6×	632 2.3×	391 1.9×	663 3.2×	79	2.7k

Countries citing papers authored by S. Sendhil Velan

Since Specialization

Citations

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

Fields of papers citing papers by S. Sendhil Velan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sendhil Velan. 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. Sendhil Velan. The network helps show where S. Sendhil Velan may publish in the future.

Co-authorship network of co-authors of S. Sendhil Velan

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

All Works

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20 of 20 papers shown

Sood, Anup, Le Roy Chong, Ute C. Marx, et al.. (2025). Deep learning-based framework for comprehensive quantification of thigh and calf muscles and adipose tissues from MRI. Magnetic Resonance Materials in Physics Biology and Medicine.

Loh, Wann Jia, Jadegoud Yaligar, Amanda J. Hooper, et al.. (2024). Clinical and imaging features of women with polygenic partial lipodystrophy: a case series. Nutrition and Diabetes. 14(1). 3–3. 3 indexed citations

Sadananthan, Suresh Anand, Jadegoud Yaligar, Kok Hian Tan, et al.. (2024). Even moderate liver fat accumulation below conventional fatty liver cutoffs is linked to multiple metabolomic alterations and gestational dysglycemia in Asian women of reproductive age. BMC Medicine. 22(1). 561–561. 5 indexed citations

Leow, Melvin Khee‐Shing, Kothandaraman Narasimhan, Sanjay Kumar Verma, et al.. (2022). Activated brown adipose tissue releases exosomes containing mitochondrial methylene tetrahydrofolate dehydrogenase (NADP dependent) 1-like protein (MTHFD1L). Bioscience Reports. 42(5). 7 indexed citations

Tan, Karen, Mya Thway Tint, Kothandaraman Narasimhan, et al.. (2022). The Kynurenine Pathway Metabolites in Cord Blood Positively Correlate With Early Childhood Adiposity. The Journal of Clinical Endocrinology & Metabolism. 107(6). e2464–e2473. 8 indexed citations

Tint, Mya Thway, Navin Michael, Lynette Pei‐Chi Shek, et al.. (2021). Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young Children. Radiology Artificial Intelligence. 3(5). e200304–e200304. 12 indexed citations

Huang, Jonathan, Navin Michael, Suresh Anand Sadananthan, et al.. (2021). Cardiometabolic Profile of Different Body Composition Phenotypes in Children. The Journal of Clinical Endocrinology & Metabolism. 106(5). e2015–e2024. 10 indexed citations

Morrison, Janna L., Oyekoya T. Ayonrinde, Alison S. Care, et al.. (2020). Seeing the fetus from a DOHaD perspective: discussion paper from the advanced imaging techniques of DOHaD applications workshop held at the 2019 DOHaD World Congress. Journal of Developmental Origins of Health and Disease. 12(2). 153–167. 4 indexed citations

Fogel, Anna, Ai Ting Goh, Lisa R. Fries, et al.. (2017). A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: Results from the GUSTO cohort. Physiology & Behavior. 176. 107–116. 52 indexed citations

10.

Julien, Sofi G., Sun-Yee Kim, Reinhard Brunmeir, et al.. (2017). Narciclasine attenuates diet-induced obesity by promoting oxidative metabolism in skeletal muscle. PLoS Biology. 15(2). e1002597–e1002597. 32 indexed citations

11.

Prakash, K. N. Bhanu, et al.. (2016). A method for the automatic segmentation of brown adipose tissue. Magnetic Resonance Materials in Physics Biology and Medicine. 29(2). 287–299. 12 indexed citations

12.

Rizi, Ehsan Parvaresh, Melvin Khee‐Shing Leow, Eric Yin Hao Khoo, et al.. (2015). Ethnic Differences in the Role of Adipocytokines Linking Abdominal Adiposity and Insulin Sensitivity Among Asians. The Journal of Clinical Endocrinology & Metabolism. 100(11). 4249–4256. 14 indexed citations

13.

Yaligar, Jadegoud, Venkatesh Gopalan, Shigeki Sugii, et al.. (2014). Evaluation of Dietary Effects on Hepatic Lipids in High Fat and Placebo Diet Fed Rats by In Vivo MRS and LC-MS Techniques. PLoS ONE. 9(3). e91436–e91436. 26 indexed citations

14.

Khoo, Chin Meng, Melvin Khee‐Shing Leow, Suresh Anand Sadananthan, et al.. (2013). Body Fat Partitioning Does Not Explain the Interethnic Variation in Insulin Sensitivity Among Asian Ethnicity: The Singapore Adults Metabolism Study. Diabetes. 63(3). 1093–1102. 39 indexed citations

15.

Kuchel, Philip W., Guilhem Pagés, Kaz Nagashima, et al.. (2012). Stejskal–tanner equation derived in full. Concepts in Magnetic Resonance Part A. 40A(5). 205–214. 35 indexed citations

16.

Velan, S. Sendhil, Kumar Pichumani, David K. Murray, et al.. (2008). Magnetic Resonance Spectroscopy with Longitudinal Multispin Orders. Current Analytical Chemistry. 4(1). 40–54. 1 indexed citations

17.

Velan, S. Sendhil, Nicholas Said, Cyrus Papan, et al.. (2008). Gender Differences in Musculoskeletal Lipid Metabolism as Assessed by Localized Two-Dimensional Correlation Spectroscopy. PubMed. 2(2). 1–6. 8 indexed citations

18.

Papan, Cyrus, Benoit Boulat, S. Sendhil Velan, Scott E. Fraser, & Russell E. Jacobs. (2007). Formation of the dorsal marginal zone in Xenopus laevis analyzed by time-lapse microscopic magnetic resonance imaging. Developmental Biology. 305(1). 161–171. 17 indexed citations

19.

Velan, S. Sendhil, Susan K. Lemieux, Raymond R. Raylman, et al.. (2007). Detection of cerebral metabolites by single‐voxel‐based PRESS and COSY techniques at 3T. Journal of Magnetic Resonance Imaging. 26(2). 405–409. 8 indexed citations

20.

Velan, S. Sendhil, P. T. Narasimhan, & Russell E. Jacobs. (2001). MR Imaging with Phase Encoding of Intermolecular Multiple Quantum Coherences. Journal of Magnetic Resonance. 152(1). 189–194. 7 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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