Swapan K. Das

6.6k total citations
94 papers, 2.5k citations indexed

About

Swapan K. Das is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Swapan K. Das has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 28 papers in Genetics and 23 papers in Physiology. Recurrent topics in Swapan K. Das's work include Genetic Associations and Epidemiology (22 papers), Adipose Tissue and Metabolism (18 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Swapan K. Das is often cited by papers focused on Genetic Associations and Epidemiology (22 papers), Adipose Tissue and Metabolism (18 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Swapan K. Das collaborates with scholars based in United States, India and United Kingdom. Swapan K. Das's co-authors include Steven C. Elbein, Neeraj Sharma, Ashis K. Mondal, Sandra J. Hasstedt, Winston Chu, Philip A. Kern, Neda Rasouli, Steven C. Elbein, Shantanu Chowdhury and Aiwei Yao‐Borengasser and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Swapan K. Das

92 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swapan K. Das United States 27 1.3k 500 488 483 340 94 2.5k
Bermseok Oh South Korea 27 1.4k 1.1× 778 1.6× 271 0.6× 325 0.7× 282 0.8× 149 2.8k
Charles R. Lane United States 10 1.7k 1.4× 1.1k 2.1× 240 0.5× 511 1.1× 463 1.4× 22 2.9k
Hyun Sub Cheong South Korea 30 1.0k 0.8× 639 1.3× 419 0.9× 583 1.2× 287 0.8× 163 2.9k
Patrick Lau Australia 28 1.0k 0.8× 226 0.5× 572 1.2× 511 1.1× 227 0.7× 43 2.4k
Kenji Imai Japan 35 1.6k 1.3× 571 1.1× 898 1.8× 974 2.0× 403 1.2× 157 4.0k
Robert G. Bennett United States 27 934 0.7× 257 0.5× 310 0.6× 589 1.2× 550 1.6× 74 2.5k
Karen L. Mohlke United States 36 1.9k 1.5× 1.5k 2.9× 469 1.0× 537 1.1× 581 1.7× 111 3.7k
Jonathan C. Schisler United States 30 1.7k 1.3× 616 1.2× 274 0.6× 228 0.5× 748 2.2× 87 2.7k
Chikara Shimizu Japan 20 911 0.7× 230 0.5× 277 0.6× 272 0.6× 353 1.0× 94 2.1k
Ann‐Christine Syvänen Sweden 29 1.1k 0.9× 599 1.2× 161 0.3× 387 0.8× 187 0.6× 90 2.5k

Countries citing papers authored by Swapan K. Das

Since Specialization
Citations

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

Fields of papers citing papers by Swapan K. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swapan K. Das. 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 Swapan K. Das. The network helps show where Swapan K. Das may publish in the future.

Co-authorship network of co-authors of Swapan K. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Swapan K. Das. A scholar is included among the top collaborators of Swapan K. Das 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 Swapan K. Das. Swapan K. Das 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.
Rahman, Mahmudur, et al.. (2023). Current Aspects of Non Hodgkin Lymphoma (NHL) In Bangladesh: A Mini Review. 3(1). 312–316. 2 indexed citations
2.
Ruggiero, Alistaire D., et al.. (2023). Visceral adipose microbial and inflammatory signatures in metabolically healthy and unhealthy nonhuman primates. Obesity. 31(10). 2543–2556. 4 indexed citations
3.
Das, Swapan K., et al.. (2023). Common and ethnic-specific derangements in skeletal muscle transcriptome associated with obesity. International Journal of Obesity. 48(3). 330–338. 1 indexed citations
4.
Ruggiero, Alistaire D., Ravichandra Vemuri, Matthew A. Davis, et al.. (2022). Macrophage Phenotypes and Gene Expression Patterns Are Unique in Naturally Occurring Metabolically Healthy Obesity. International Journal of Molecular Sciences. 23(20). 12680–12680. 9 indexed citations
5.
Crouse, Wesley L., Swapan K. Das, Gregory R. Keele, et al.. (2022). Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity. Physiological Genomics. 54(6). 206–219. 6 indexed citations
6.
Crouse, Wesley L., Gregory R. Keele, Katie Holl, et al.. (2022). Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats. Diabetes. 72(1). 135–148. 7 indexed citations
7.
Anderson, Warren D., Lijiang Ma, Carl D. Langefeld, et al.. (2020). Sex differences in human adipose tissue gene expression and genetic regulation involve adipogenesis. Genome Research. 30(10). 1379–1392. 41 indexed citations
8.
Dube, Simmi, Michael Slama, R. Visentin, et al.. (2017). Randomized Controlled Trial of a MUFA or Fiber-Rich Diet on Hepatic Fat in Prediabetes. The Journal of Clinical Endocrinology & Metabolism. 102(5). 1765–1774. 63 indexed citations
9.
Das, Swapan K., et al.. (2016). KORO EPIDEMIC: A DESCRIPTIVE STUDY. Journal of Evolution of Medical and Dental Sciences. 5(76). 5634–5638. 2 indexed citations
10.
11.
Mondal, Ashis K., Swapan K. Das, Vijayalakshmi Varma, et al.. (2012). Effect of Endoplasmic Reticulum Stress on Inflammation and Adiponectin Regulation in Human Adipocytes. Metabolic Syndrome and Related Disorders. 10(4). 297–306. 44 indexed citations
12.
Ma, Lijun, Ashis K. Mondal, Mariana Murea, et al.. (2011). The Effect of ACACB cis-Variants on Gene Expression and Metabolic Traits. PLoS ONE. 6(8). e23860–e23860. 29 indexed citations
13.
Das, Swapan K., Ashis K. Mondal, & Steven C. Elbein. (2010). Distinct gene expression profiles characterize cellular responses to palmitate and oleate. Journal of Lipid Research. 51(8). 2121–2131. 27 indexed citations
14.
15.
Das, Swapan K., Winston Chu, Ashis K. Mondal, et al.. (2008). Effect of pioglitazone treatment on endoplasmic reticulum stress response in human adipose and in palmitate-induced stress in human liver and adipose cell lines. American Journal of Physiology-Endocrinology and Metabolism. 295(2). E393–E400. 51 indexed citations
16.
Kumar, Nirmal, Kangkan Halder, Rakesh Sharma, et al.. (2006). Genome-wide prediction of G4 DNA as regulatory motifs: Role in Escherichia coli global regulation. Genome Research. 16(5). 644–655. 264 indexed citations
17.
Verma, Ranjana, Mitali Mukerji, Deepak Grover, et al.. (2005). MLC1 Gene Is Associated with Schizophrenia and Bipolar Disorder in Southern India. Biological Psychiatry. 58(1). 16–22. 35 indexed citations
18.
Das, Swapan K. & Geeta Talukder. (2002). Beta Globin Gene and Related Diseases: A Review. International Journal of Human Genetics. 2(3). 139–152. 8 indexed citations
19.
Mukherjee, P. & Swapan K. Das. (1995). Action of retinoic acid on human glioblastoma-astrocytoma--14 cells in culture.. PubMed. 42(3). 123–8. 9 indexed citations
20.
Chakraborty, Ranajit, Swapan K. Das, & Monami Roy. (1975). Blood Group Genetics of Some Caste Groups of Southern 24 Parganas, West Bengal. Human Heredity. 25(3). 218–225. 18 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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