Lopamudra Ray

465 total citations
8 papers, 320 citations indexed

About

Lopamudra Ray is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Lopamudra Ray has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Lopamudra Ray's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Folate and B Vitamins Research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Lopamudra Ray is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Folate and B Vitamins Research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Lopamudra Ray collaborates with scholars based in India and United States. Lopamudra Ray's co-authors include Sunil Kumar Nanda, K. Ravichandran, Huong Thi Thanh Nguyen, Kyriakos S. Markides, Sandra A. Black, D. V. Espino, Satyaki Ganguly, Anirban Chatterjee, Rajlaxmi Sarangi and Sasanka Chakrabarti and has published in prestigious journals such as The Journals of Gerontology Series A, Metabolic Syndrome and Related Disorders and Indian Journal of Dermatology.

In The Last Decade

Lopamudra Ray

8 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lopamudra Ray India	8	94	93	54	45	37	8	320
Feng‐Ping Lu Taiwan	8	98 1.0×	77 0.8×	115 2.1×	99 2.2×	33 0.9×	11	399
Miri Lutski Israel	12	103 1.1×	79 0.8×	81 1.5×	43 1.0×	68 1.8×	38	453
G Poggiopollini Italy	7	35 0.4×	74 0.8×	82 1.5×	47 1.0×	63 1.7×	13	360
Filipi Leles da Costa Dias Brazil	9	60 0.6×	80 0.9×	37 0.7×	45 1.0×	101 2.7×	10	343
Giovanni Viscogliosi Italy	11	76 0.8×	73 0.8×	106 2.0×	73 1.6×	79 2.1×	19	370
Sonali N. Shah United States	12	150 1.6×	47 0.5×	34 0.6×	113 2.5×	19 0.5×	19	499
Rebecca N. Cherry United States	6	52 0.6×	85 0.9×	84 1.6×	89 2.0×	56 1.5×	7	410
M. Frost Denmark	12	85 0.9×	50 0.5×	54 1.0×	34 0.8×	15 0.4×	20	357
C.-S. Chen China	8	150 1.6×	88 0.9×	46 0.9×	41 0.9×	76 2.1×	12	358
Wanli Zhang China	14	48 0.5×	123 1.3×	51 0.9×	39 0.9×	81 2.2×	45	541

Countries citing papers authored by Lopamudra Ray

Since Specialization

Citations

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

Fields of papers citing papers by Lopamudra Ray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lopamudra Ray

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

All Works

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8 of 8 papers shown

Ganguly, Satyaki, et al.. (2018). Lipid accumulation product index as visceral obesity indicator in psoriasis: A Case–control Study. Indian Journal of Dermatology. 63(2). 136–136. 16 indexed citations

Ray, Lopamudra, K. Ravichandran, & Sunil Kumar Nanda. (2018). Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population. Metabolic Syndrome and Related Disorders. 16(5). 240–245. 64 indexed citations

Bharathy, Narendra, et al.. (2017). Evaluation of vitamin D status and its correlation with glycated haemoglobin in type 2 diabetes mellitus. Biomedical Research-tokyo. 28(1). 66–70. 10 indexed citations

Nanda, Sunil Kumar, et al.. (2017). Correlation of Friedewald′s calculated low-density lipoprotein cholesterol levels with direct low-density lipoprotein cholesterol levels in a tertiary care hospital. International Journal of Applied and Basic Medical Research. 7(1). 57–57. 11 indexed citations

Ray, Lopamudra, et al.. (2016). High atherogenic index of plasma in subclinical hypothyroidism: Implications in assessment of cardiovascular disease risk. Indian Journal of Endocrinology and Metabolism. 20(5). 656–656. 17 indexed citations

Ray, Lopamudra, Sunil Kumar Nanda, Anirban Chatterjee, Rajlaxmi Sarangi, & Satyaki Ganguly. (2015). A comparative study of serum aminotransferases in chronic kidney disease with and without end-stage renal disease: Need for new reference ranges. International Journal of Applied and Basic Medical Research. 5(1). 31–31. 66 indexed citations

Ray, Lopamudra, et al.. (2013). Serum Homocysteine, Dehydroepiandrosterone Sulphate and Lipoprotein (a) in Alzheimer's Disease and Vascular Dementia.. PubMed. 4(2). 57–64. 45 indexed citations

Nguyen, Huong Thi Thanh, Sandra A. Black, Lopamudra Ray, D. V. Espino, & Kyriakos S. Markides. (2002). Predictors of Decline in MMSE Scores Among Older Mexican Americans. The Journals of Gerontology Series A. 57(3). M181–M185. 91 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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