Shantanu Sengupta

7.7k citations
128 papers · 3.9k indexed · h-index 34

Impact in

Papers in

Shantanu Sengupta

121 papers receiving 3.8k citations

Peers

Shantanu Sengupta
Comparison fields: 5 of 139
  • Rheumatology 831
  • Biochemistry 244
  • Cancer Research 469
  • Clinical Biochemistry 205
  • Molecular Biology 2.0k
Replace Ping Yi with:
Ping Yi China
Yury I. Miller United States
Kusum K. Kharbanda United States
Gérard Feldmann France
María‐Jesús Sanz Spain
David P. Hajjar United States
William Lewis United States
Avril A. B. Robertson Australia
Kyung Lee United States
Andreas von Knethen Germany
Shantanu Sengupta relative to Ping Yi China Ping Yi's profile →
Citations per field
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Ping Yi · 1×
Citations per year

Countries citing papers authored by Shantanu Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Shantanu Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shantanu Sengupta, 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 Shantanu Sengupta Line = papers co-authored together Shantanu Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 202322
5 20231
6 20228
7 202110
8 20202
9 201932
10 201834
11 20184
12
Rehabilitation Mitigates Changes in Body Fat %, Visceral Adiposity and Lipid Metabolism in the Wistar Rat Offspring Induced by Maternal Vitamin B12 Restriction
20171
13
EVALUATION OF SWATH-MS BASED QUANTIFICATION FOR ITS ACCURACY AND CONSISTENCY ACROSS CONCENTRATIONS OF SPIKED-IN PEPTIDES
20161
14 201636
15 201532
16 201290
17 201064
18 2008165
19 200367
20 1999131

About Shantanu Sengupta

Shantanu Sengupta is a scholar working on Rheumatology, Aging, Clinical Biochemistry, Hematology and Obstetrics and Gynecology, having authored 128 papers that have together received 3.9k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (37 papers), RNA modifications and cancer (17 papers), Advanced Proteomics Techniques and Applications (11 papers), Epigenetics and DNA Methylation (11 papers), Birth, Development, and Health (9 papers), Iron Metabolism and Disorders (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Rheumatology (831 citations), Biochemistry (244 citations), Cancer Research (469 citations), Clinical Biochemistry (205 citations) and Molecular Biology (2.0k citations). Shantanu Sengupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sourav Ghosh, Vinod Scaria, Trayambak Basak, Donald W. Jacobsen, Ganesan Karthikeyan, Priyanka Sharma, Gaurav Garg, Jitender Kumar, Alana K. Majors and Satish Sati. Their work appears in journals such as Journal of Proteomics, Journal of Biological Chemistry, PLoS ONE, Biomarkers and Scientific Reports.

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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