Abhik Datta

721 total citations
11 papers, 589 citations indexed

About

Abhik Datta is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Abhik Datta has authored 11 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Molecular Biology. Recurrent topics in Abhik Datta's work include T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Abhik Datta is often cited by papers focused on T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). Abhik Datta collaborates with scholars based in United States, India and France. Abhik Datta's co-authors include Christophe Nicot, Uma Sinha-Datta, Ananta K. Ghosh, Subhas C. Kundu, Olivier Hermine, Thomas A. Waldmann, Marcia Bellon, Megan Brown, Mirdad Kazanji and Ali Bazarbachi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Abhik Datta

11 papers receiving 584 citations

Peers

Abhik Datta
C D Rao United States
A C Knapp United States
Emi Inoue Japan
Abhik Datta
Citations per year, relative to Abhik Datta Abhik Datta (= 1×) peers S. C. P. Almeida

Countries citing papers authored by Abhik Datta

Since Specialization
Citations

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

Fields of papers citing papers by Abhik Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhik Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Abhik Datta. A scholar is included among the top collaborators of Abhik 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 Abhik Datta. Abhik 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
1.
Pancewicz, Joanna, John M. Taylor, Abhik Datta, et al.. (2010). Notch signaling contributes to proliferation and tumor formation of human T-cell leukemia virus type 1–associated adult T-cell leukemia. Proceedings of the National Academy of Sciences. 107(38). 16619–16624. 77 indexed citations
2.
Parua, Pabitra K., Abhik Datta, & Pradeep Parrack. (2009). Specific hydrophobic residues in the  4 helix of  CII are crucial for maintaining its tetrameric structure and directing the lysogenic choice. Journal of General Virology. 91(1). 306–312. 6 indexed citations
3.
Sinha-Datta, Uma, Abhik Datta, Sofiane Ghorbel, Madeleine Duc Dodon, & Christophe Nicot. (2007). Human T-cell Lymphotrophic Virus Type I Rex and p30 Interactions Govern the Switch between Virus Latency and Replication. Journal of Biological Chemistry. 282(19). 14608–14615. 41 indexed citations
4.
Datta, Abhik & Christophe Nicot. (2007). Telomere attrition induces a DNA double-strand break damage signal that reactivates p53 transcription in HTLV-I leukemic cells. Oncogene. 27(8). 1135–1141. 19 indexed citations
5.
Datta, Abhik, Marcia Bellon, Uma Sinha-Datta, et al.. (2006). Persistent inhibition of telomerase reprograms adult T-cell leukemia to p53-dependent senescence. Blood. 108(3). 1021–1029. 111 indexed citations
6.
Datta, Abhik, Uma Sinha-Datta, Navneet K. Dhillon, Shilpa Buch, & Christophe Nicot. (2006). The HTLV-I p30 Interferes with TLR4 Signaling and Modulates the Release of Pro- and Anti-inflammatory Cytokines from Human Macrophages. Journal of Biological Chemistry. 281(33). 23414–23424. 54 indexed citations
7.
Bellon, Marcia, Abhik Datta, Megan Brown, et al.. (2006). Increased expression of telomere length regulating factors TRF1, TRF2 and TIN2 in patients with adult T‐cell leukemia. International Journal of Cancer. 119(9). 2090–2097. 67 indexed citations
8.
Sinha-Datta, Uma, Izumi Horikawa, Eriko Michishita, et al.. (2004). Transcriptional activation of hTERT through the NF-κB pathway in HTLV-I–transformed cells. Blood. 104(8). 2523–2531. 103 indexed citations
9.
Datta, Abhik, Ananta K. Ghosh, & Subhas C. Kundu. (2001). Purification and characterization of fibroin from the tropical Saturniid silkworm, Antheraea mylitta. Insect Biochemistry and Molecular Biology. 31(10). 1013–1018. 49 indexed citations
10.
Datta, Abhik, Ananta K. Ghosh, & Subhas C. Kundu. (2001). Differential expression of the fibroin gene in developmental stages of silkworm, Antheraea mylitta (Saturniidae). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 129(1). 197–204. 59 indexed citations
11.
Datta, Abhik, Abhinav Gupta, & A. Paul. (1986). Alkaline durability of glass fibre containing SiO2, PbO and Al2O3. Journal of Materials Science. 21(8). 2633–2642. 3 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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