Sumana Chatterjee

843 citations
27 papers · 641 · h-index 13

Impact in

Papers in

Sumana Chatterjee

27 papers receiving 623 citations

Peers

Sumana Chatterjee
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 117
  • Surgery 294
  • Biotechnology 47
  • Oncology 146
  • Cancer Research 68
Replace J M Caillaud with:
J M Caillaud France
Rongxiu Zheng China
Felix W.M. de Rooij Netherlands
Mehrdad Jafari Iran
Cláudio Galleano Zettler Brazil
Lewis S. Hanna United States
Μαρία Σαμαρά Greece
Borut Klopcic Australia
Codrin Iacob United States
Jun Cheon South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Sumana Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sumana Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998251
2 199889
3 200642
4 201836
5 199730
6 201726
7 200922
8 200920
9 201719
10 201816
11 202113
12 201013
13 199513
14
A Comparative Study between Females of Pre-Pubertal and Reproductive age groups to explore how HPG-Axis affects the Autonomic Control over Cardiac Activity
20097
15 20007
16 20026
17 20215
18 20115
19 20205
20 20204

About Sumana Chatterjee

Sumana Chatterjee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 641 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Genetic Syndromes and Imprinting (5 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Research (2 papers), Genetic factors in colorectal cancer (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Surgery (294 citations), Biotechnology (47 citations), Oncology (146 citations) and Cancer Research (68 citations). Sumana Chatterjee has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include C. R. Taylor, Shengliang Shi, Matthew D. Dunn, John P. Stein, Susan Groshen, Donald G. Skinner, William F. Benedict, Quoc Cuong Tran, Hong Xu and S X Hu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, The Journal of Urology, Biochemical Engineering Journal and Endocrine Reviews.

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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