Saswata Talukdar

9.3k citations
48 papers · 7.3k indexed · 5 hit papers · h-index 32

Saswata Talukdar

47 papers receiving 7.2k citations

Hit Papers

Insulin resistance drives hepatic de ...534201020262015202050010001.5k

Peers

Saswata Talukdar
Comparison fields: 5 of 120
  • Biochemistry 693
  • Physiology 2.3k
  • Nutrition and Dietetics 1.2k
  • Epidemiology 2.5k
  • Endocrinology, Diabetes and Metabolism 1.1k
Replace Da Young Oh with:
Da Young Oh United States
Takeshi Imamura Japan
Alyssa H. Hasty United States
Jacqueline M. Stephens United States
Katsutaro Morino Japan
Gürol Tuncman United States
Iphigenia Tzameli United States
Robert M. O’Doherty United States
Youfei Guan China
Umut Özcan United States
Saswata Talukdar relative to Da Young Oh United States Da Young Oh's profile →
Citations per field
00.5×1.5×
Da Young Oh · 1×
Citations per year

Countries citing papers authored by Saswata Talukdar

Since Specialization
Citations

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

Fields of papers citing papers by Saswata Talukdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Saswata Talukdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saswata Talukdar Line = papers co-authored together Saswata Talukdar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20224
3 202015
4
Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver diseasebreakdown →
2019534
5 201749
6 2015240
7 201559
8 201540
9 201419
10 2013102
11 2013136
12 201242
13 2011287
14 2011208
15 2011179
16 2011234
17
GPR120 Is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-inflammatory and Insulin-Sensitizing Effectsbreakdown →
20101921
18 201071
19 200714
20 200689

About Saswata Talukdar

Saswata Talukdar is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 7.3k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (15 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Epigenetics and DNA Methylation (9 papers), Adipose Tissue and Metabolism (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Kruppel-like factors research (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Biochemistry (693 citations), Physiology (2.3k citations) and Nutrition and Dietetics (1.2k citations). Saswata Talukdar has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Jerrold M. Olefsky, Pingping Li, Da Young Oh, Hidetaka Morinaga, Eun Ju Bae, WuQiang Fan, Wendell J. Lu, Steven M. Watkins, Takeshi Imamura and Min Lü. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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