Avijit Majumdar

830 total citations
13 papers, 628 citations indexed

About

Avijit Majumdar is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Avijit Majumdar has authored 13 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Avijit Majumdar's work include Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers) and Biochemical and Molecular Research (3 papers). Avijit Majumdar is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers) and Biochemical and Molecular Research (3 papers). Avijit Majumdar collaborates with scholars based in United States and India. Avijit Majumdar's co-authors include Noa Noy, Hui Jin, Daniel C. Berry, Lopa Mishra, Lior H. Katz, Ying Li, Nina M. Muñoz, Jiun‐Sheng Chen, Jian Chen and Bansidhar Datta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Avijit Majumdar

13 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avijit Majumdar United States 11 445 223 100 82 66 13 628
Huihong You United States 10 274 0.6× 70 0.3× 56 0.6× 74 0.9× 38 0.6× 13 522
R. J. Hansen United States 12 310 0.7× 190 0.9× 88 0.9× 15 0.2× 85 1.3× 19 574
Xianqing Jin China 13 325 0.7× 156 0.7× 191 1.9× 6 0.1× 38 0.6× 52 641
Luciana Bueno Ferreira Brazil 16 390 0.9× 83 0.4× 270 2.7× 35 0.4× 33 0.5× 27 740
George Sai‐Wah Tsao Hong Kong 11 313 0.7× 133 0.6× 129 1.3× 7 0.1× 46 0.7× 22 520
Sudhakar Ammanamanchi United States 15 568 1.3× 199 0.9× 126 1.3× 5 0.1× 26 0.4× 18 715
Dan Yue China 19 406 0.9× 147 0.7× 127 1.3× 7 0.1× 35 0.5× 41 787
Adele M. Nicolas Germany 7 333 0.7× 293 1.3× 195 1.9× 9 0.1× 61 0.9× 8 767
Wenli Diao China 16 345 0.8× 143 0.6× 206 2.1× 9 0.1× 82 1.2× 29 655
Galina M. Kiriakova United States 10 380 0.9× 310 1.4× 210 2.1× 5 0.1× 54 0.8× 11 707

Countries citing papers authored by Avijit Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Avijit Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avijit Majumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Avijit Majumdar. A scholar is included among the top collaborators of Avijit Majumdar 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 Avijit Majumdar. Avijit Majumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Freedman, John C., Trevor J. Parry, Avijit Majumdar, et al.. (2020). Preclinical Evaluation of a Modified Herpes Simplex Virus Type 1 Vector Encoding Human TGM1 for the Treatment of Autosomal Recessive Congenital Ichthyosis. Journal of Investigative Dermatology. 141(4). 874–882.e6. 20 indexed citations
2.
Chen, Jian, Vivek Shukla, Ying Li, et al.. (2013). 618 A Novel Somatic Mutation of β2sp Inactivates the TGF-β Pathway and Promotes Alcohol Induced HCC. Gastroenterology. 144(5). S–954. 1 indexed citations
3.
Katz, Lior H., Ying Li, Jiun‐Sheng Chen, et al.. (2013). Targeting TGF-β signaling in cancer. Expert Opinion on Therapeutic Targets. 17(7). 743–760. 180 indexed citations
4.
Majumdar, Avijit, Steven A. Curley, Xifeng Wu, et al.. (2012). Hepatic stem cells and transforming growth factor β in hepatocellular carcinoma. Nature Reviews Gastroenterology & Hepatology. 9(9). 530–538. 118 indexed citations
5.
Majumdar, Avijit, et al.. (2011). Nuclear Translocation of Cellular Retinoic Acid-binding Protein II Is Regulated by Retinoic Acid-controlled SUMOylation. Journal of Biological Chemistry. 286(49). 42749–42757. 42 indexed citations
6.
Berry, Daniel C., Hui Jin, Avijit Majumdar, & Noa Noy. (2011). Signaling by vitamin A and retinol-binding protein regulates gene expression to inhibit insulin responses. Proceedings of the National Academy of Sciences. 108(11). 4340–4345. 153 indexed citations
7.
Majumdar, Avijit, et al.. (2010). p67/MetAP2 Suppresses K-RasV12-Mediated Transformation of NIH3T3 Mouse Fibroblasts in Culture and in Athymic Mice. Biochemistry. 49(47). 10146–10157. 6 indexed citations
8.
9.
Datta, Bansidhar, et al.. (2006). The binding between p67 and eukaryotic initiation factor 2 plays important roles in the protection of eIF2α from phosphorylation by kinases. Archives of Biochemistry and Biophysics. 452(2). 138–148. 18 indexed citations
10.
11.
12.
Datta, Bansidhar, et al.. (2004). Eukaryotic initiation factor 2-associated glycoprotein, p67, shows differential effects on the activity of certain kinases during serum-starved conditions. Archives of Biochemistry and Biophysics. 427(1). 68–78. 15 indexed citations
13.
Raha, Tamal, et al.. (2000). N-terminal region of P protein of Chandipura virus is responsible for phosphorylation-mediated homodimerization. Protein Engineering Design and Selection. 13(6). 437–444. 17 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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