Sunil K. Chatterjee

1.8k citations
59 papers · 1.7k · h-index 22

Impact in

Papers in

Sunil K. Chatterjee

58 papers receiving 1.5k citations

Peers

Sunil K. Chatterjee
Comparison fields: 5 of 86
  • Immunology 694
  • Radiology, Nuclear Medicine and Imaging 373
  • Oncology 434
  • Biotechnology 150
  • Molecular Biology 808
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Thomas Kjeldsen Denmark
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Citations per year

Countries citing papers authored by Sunil K. Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glycosyltransferase and glycosidase activities in ovarian cancer patients.
1979153
2 2005139
3 1999137
4
Monoclonal antibodies recognizing tumor-associated antigen of human ovarian mucinous cystadenocarcinomas.
198267
5 197862
6 197753
7
Uridine 5'-diphosphate-galactose:glycoprotein galactosyltransferase activity in the ovarian cancer patient.
197652
8 200052
9 199148
10 199648
11 200141
12 200537
13 200435
14 200035
15 200533
16 200232
17 200730
18 200029
19 200525
20 200325

About Sunil K. Chatterjee

Sunil K. Chatterjee is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology and Oncology, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), T-cell and B-cell Immunology (7 papers), Adenosine and Purinergic Signaling (6 papers), Cancer Research and Treatments (5 papers), RNA and protein synthesis mechanisms (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Immunology (694 citations), Radiology, Nuclear Medicine and Imaging (373 citations), Oncology (434 citations), Biotechnology (150 citations) and Molecular Biology (808 citations). Sunil K. Chatterjee has collaborated with scholars based in United States and India. Frequent co-authors include Malaya Bhattacharya‐Chatterjee, Joseph J. Barlow, Malaya Bhattacharya, Kenneth A. Foon, Untae Kim, Santanu Dasgupta, Bert W. O’Malley, Asim Kumar Saha, Pulak Tripathi and Mala Chakraborty. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Immunology Immunotherapy, Molecular Therapy, Cancer Research and Cancer Letters.

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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