Barsanjit Mazumder

3.6k citations
50 papers · 2.9k indexed · h-index 27

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA regulation and disease
  • Immunology top 5%
    • interferon and immune responses

Papers in

Barsanjit Mazumder

50 papers receiving 2.9k citations

Peers

Barsanjit Mazumder
Comparison fields: 5 of 116
  • Molecular Biology 1.7k
  • Immunology 472
  • Cancer Research 321
  • Nutrition and Dietetics 273
  • Hematology 170
Replace Gösta Eggertsen with:
Gösta Eggertsen Sweden
W. Gray Jerome United States
Francesco Costanzo Italy
Montserrat Carrascal Spain
Bing Li China
Y Nozawa Japan
Stephen H. Powis United Kingdom
Guhung Jung South Korea
John W. Fuseler United States
Steven M. Claypool United States
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Citations per field
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Citations per year

Countries citing papers authored by Barsanjit Mazumder

Since Specialization
Citations

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

Fields of papers citing papers by Barsanjit Mazumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20191
3 20178
4 201515
5 201266
6 201067
7 200970
8 200764
9 200779
10 200726
11 200633
12 200612
13 2004213
14 2003401
15 2003275
16 2000230
17 199465
18 199449
19 199122
20
Effect of chlorpromazine and gossypol on Ca(2+)-ATPase activity in the microsomal membranes of rat testes.
19918

About Barsanjit Mazumder

Barsanjit Mazumder is a scholar working on Immunology, Pharmaceutical Science, Molecular Biology, Cancer Research and Nutrition and Dietetics, having authored 50 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (20 papers), RNA Research and Splicing (15 papers), RNA modifications and cancer (10 papers), RNA regulation and disease (7 papers), Viral Infections and Immunology Research (5 papers), interferon and immune responses (4 papers), Respiratory viral infections research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Immunology (472 citations), Cancer Research (321 citations), Nutrition and Dietetics (273 citations) and Hematology (170 citations). Barsanjit Mazumder has collaborated with scholars based in United States, India and France. Frequent co-authors include Paul L. Fox, Vasudevan Seshadri, Chinmay K. Mukhopadhyay, Prabha Sampath, Sailen Barik, Anton A. Komar, Paul E. DiCorleto, Ratan K. Maitra, Sujan Chaudhuri and William C. Merrick. Their work appears in journals such as Molecular and Cellular Biology, RNA, Molecular and Cellular Biochemistry, The Journal of Immunology and The FASEB Journal.

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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