B Datta

560 total citations
11 papers, 484 citations indexed

About

B Datta is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, B Datta has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in B Datta's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). B Datta is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). B Datta collaborates with scholars based in United States. B Datta's co-authors include N.K. Gupta, Debopam Chakrabarti, Manas K. Ray, Alan M. Weiner, D E Wylie, Péter Lengyel, Divaker Choubey, Jordan U. Gutterman, Ananda L. Roy and Ansuman Chattopadhyay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

B Datta

11 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B Datta United States 9 417 178 124 62 53 11 484
Sheila Zrihan‐Licht Israel 11 457 1.1× 137 0.8× 169 1.4× 60 1.0× 27 0.5× 12 577
Beate Kleuser Switzerland 8 285 0.7× 74 0.4× 178 1.4× 18 0.3× 44 0.8× 9 526
Marjorie L. Wier United States 11 235 0.6× 91 0.5× 63 0.5× 13 0.2× 50 0.9× 13 384
Ravit Ziv Israel 9 344 0.8× 52 0.3× 98 0.8× 60 1.0× 19 0.4× 10 412
Barbara J.M. Booth United States 14 437 1.0× 202 1.1× 126 1.0× 20 0.3× 11 0.2× 21 788
Isabelle Delumeau France 7 480 1.2× 168 0.9× 48 0.4× 11 0.2× 53 1.0× 9 590
S Nishimura Japan 11 264 0.6× 200 1.1× 67 0.5× 13 0.2× 27 0.5× 25 419
Tamara L. Goetz United States 7 342 0.8× 50 0.3× 114 0.9× 22 0.4× 69 1.3× 7 514
Linchao Lu United States 12 393 0.9× 78 0.4× 52 0.4× 28 0.5× 109 2.1× 17 484
G. A. Luckenbach Germany 11 200 0.5× 68 0.4× 157 1.3× 20 0.3× 32 0.6× 16 434

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-authorship network of co-authors of B Datta

This figure shows the co-authorship network connecting the top 25 collaborators of B Datta. A scholar is included among the top collaborators of B Datta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B Datta. B Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Datta, B. (2000). MAPs and POEP of the roads from prokaryotic to eukaryotic kingdoms. Biochimie. 82(2). 95–107. 45 indexed citations
3.
Choubey, Divaker, et al.. (1996). Inhibition of E2F-mediated transcription by p202.. The EMBO Journal. 15(20). 5668–5678. 99 indexed citations
4.
Datta, B & Alan M. Weiner. (1993). The phylogenetically invariant ACAGAGA and AGC sequences of U6 small nuclear RNA are more tolerant of mutation in human cells than in Saccharomyces cerevisiae.. Molecular and Cellular Biology. 13(9). 5377–5382. 35 indexed citations
5.
Datta, B & Alan M. Weiner. (1992). Cross-linking of U1 snRNA using nitrogen mustard. Evidence for higher order structure.. Journal of Biological Chemistry. 267(7). 4503–4507. 5 indexed citations
6.
Datta, B & Alan M. Weiner. (1992). Cross-linking of U2 snRNA using nitrogen mustard. Evidence for higher order structure.. Journal of Biological Chemistry. 267(7). 4497–4502. 12 indexed citations
7.
Ray, Manas K., et al.. (1992). The eukaryotic initiation factor 2-associated 67-kDa polypeptide (p67) plays a critical role in regulation of protein synthesis initiation in animal cells.. Proceedings of the National Academy of Sciences. 89(2). 539–543. 76 indexed citations
8.
Datta, B, Manas K. Ray, Debopam Chakrabarti, D E Wylie, & N.K. Gupta. (1989). Glycosylation of eukaryotic peptide chain initiation factor 2 (eIF-2)-associated 67-kDa polypeptide (p67) and its possible role in the inhibition of eIF-2 kinase-catalyzed phosphorylation of the eIF-2 α-subunit. Journal of Biological Chemistry. 264(34). 20620–20624. 111 indexed citations
9.
Datta, B, Debopam Chakrabarti, Ananda L. Roy, & N.K. Gupta. (1988). Roles of a 67-kDa polypeptide in reversal of protein synthesis inhibition in heme-deficient reticulocyte lysate.. Proceedings of the National Academy of Sciences. 85(10). 3324–3328. 66 indexed citations
10.
Datta, B, et al.. (1988). Roles of eIF-2 and eIF-2-associated proteins in regulation of protein synthesis during growth of animal cells in culture.. PubMed. 25(6). 478–82. 13 indexed citations
11.
Bagchi, Milan K., et al.. (1985). Protein synthesis in rabbit reticulocytes. A study of the mechanism of Co-eIF-2 action.. Journal of Biological Chemistry. 260(28). 14976–14981. 7 indexed citations

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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