B Datta

560 citations
12 papers · 509 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Polyamine Metabolism and Applications 2
    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Molecular Research 2
    • Peptidase Inhibition and Analysis 2

B Datta

12 papers receiving 497 citations

Peers

B Datta
Comparison fields: 5 of 46
  • Oncology 186
  • Immunology 130
  • Molecular Biology 424
  • Cancer Research 54
  • Cell Biology 45
Replace Bansidhar Datta with:
Bansidhar Datta United States
I Junghahn Germany
Tamara L. Goetz United States
Liusheng He United States
S Nishimura Japan
Melisa Ruiz‐Gutierrez United States
Nayantara Kothari United States
Karen S. Champagne United States
Dennis Gately United States
B. Heimann Germany
B Datta relative to Bansidhar Datta United States Bansidhar Datta's profile →
Citations per field
00.5×1.5×
Bansidhar Datta · 1×
Citations per year

Countries citing papers authored by B Datta

Since Specialization
Citations

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

Fields of papers citing papers by B Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside B Datta, 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 B Datta Line = papers co-authored together B Datta links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1989117
2 1996102
3 199280
4 198874
5 200047
6 199336
7 200515
8
Roles of eIF-2 and eIF-2-associated proteins in regulation of protein synthesis during growth of animal cells in culture.
198813
9 199212
10 19857
11 19925
12 19901

About B Datta

B Datta is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Electrical and Electronic Engineering, having authored 12 papers that have together received 509 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Polyamine Metabolism and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Oncology (186 citations), Immunology (130 citations), Molecular Biology (424 citations), Cancer Research (54 citations) and Cell Biology (45 citations). B Datta has collaborated with scholars based in United States. Frequent co-authors include N.K. Gupta, Debopam Chakrabarti, Manas K. Ray, Alan M. Weiner, D E Wylie, Péter Lengyel, Jordan U. Gutterman, Divaker Choubey, Ananda L. Roy and Ansuman Chattopadhyay. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochimie, Experimental Cell Research and Molecular and Cellular Biology.

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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