Mousumi Majumdar

1.0k total citations
9 papers, 872 citations indexed

About

Mousumi Majumdar is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Mousumi Majumdar has authored 9 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Mousumi Majumdar's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cell Adhesion Molecules Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Mousumi Majumdar is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Cell Adhesion Molecules Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). Mousumi Majumdar collaborates with scholars based in United States. Mousumi Majumdar's co-authors include Tammy M. Seasholtz, Joan Heller Brown, Daniel D. Kaplan, Takehiko Tarui, Yoshikazu Takada, Wolfram Ruf, Lindsey A. Miles, Deniz Toksoz, David Goldstein and Primal de Lanerolle and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Molecular Pharmacology.

In The Last Decade

Mousumi Majumdar

9 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mousumi Majumdar United States 9 585 208 157 134 128 9 872
Paraskevi Andriopoulou Greece 7 461 0.8× 116 0.6× 116 0.7× 152 1.1× 151 1.2× 8 815
Mark S. Thoma United States 5 639 1.1× 101 0.5× 348 2.2× 90 0.7× 127 1.0× 10 1.2k
Scott A. Coats United States 10 428 0.7× 206 1.0× 102 0.6× 99 0.7× 78 0.6× 11 956
Marie‐Hélène Prandini France 13 727 1.2× 84 0.4× 247 1.6× 123 0.9× 192 1.5× 16 1.1k
Angela Russo United States 20 537 0.9× 141 0.7× 151 1.0× 53 0.4× 141 1.1× 38 1.0k
Omar Benzakour France 15 382 0.7× 177 0.9× 141 0.9× 50 0.4× 51 0.4× 33 869
Sripriya Ranganathan United States 10 455 0.8× 205 1.0× 60 0.4× 108 0.8× 233 1.8× 13 945
Tibor Schomber Switzerland 10 432 0.7× 90 0.4× 215 1.4× 89 0.7× 74 0.6× 18 816
Curran Murphy United States 8 594 1.0× 241 1.2× 84 0.5× 136 1.0× 57 0.4× 12 1.2k
Young‐June Jin Germany 12 370 0.6× 115 0.6× 48 0.3× 160 1.2× 145 1.1× 16 738

Countries citing papers authored by Mousumi Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Mousumi Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mousumi Majumdar

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

All Works

9 of 9 papers shown
1.
Tarui, Takehiko, Nobuaki Akakura, Mousumi Majumdar, et al.. (2006). Direct interaction of the kringle domain of urokinase-type plasminogen activator (uPA) and integrin αvβ3 induces signal transduction and enhances plasminogen activation. Thrombosis and Haemostasis. 95(3). 524–534. 49 indexed citations
2.
Majumdar, Mousumi, Takehiko Tarui, Biao Shi, et al.. (2004). Plasmin-induced Migration Requires Signaling through Protease-activated Receptor 1 and Integrin α9β1. Journal of Biological Chemistry. 279(36). 37528–37534. 64 indexed citations
3.
Majumdar, Mousumi, Kristiina Vuori, & William B. Stallcup. (2003). Engagement of the NG2 proteoglycan triggers cell spreading via rac and p130cas. Cellular Signalling. 15(1). 79–84. 41 indexed citations
4.
Tarui, Takehiko, Mousumi Majumdar, Lindsey A. Miles, Wolfram Ruf, & Yoshikazu Takada. (2002). Plasmin-induced Migration of Endothelial Cells. Journal of Biological Chemistry. 277(37). 33564–33570. 110 indexed citations
5.
Seasholtz, Tammy M., Mousumi Majumdar, & Joan Heller Brown. (1999). Rho as a Mediator of G Protein-Coupled Receptor Signaling. Molecular Pharmacology. 55(6). 949–956. 195 indexed citations
6.
Seasholtz, Tammy M., Mousumi Majumdar, & Joan Heller Brown. (1999). Rho as a Mediator of G Protein-Coupled Receptor Signaling. Molecular Pharmacology. 55(6). 949–956. 8 indexed citations
7.
Majumdar, Mousumi, et al.. (1999). A Rho Exchange Factor Mediates Thrombin and Gα12-induced Cytoskeletal Responses. Journal of Biological Chemistry. 274(38). 26815–26821. 92 indexed citations
8.
Seasholtz, Tammy M., Mousumi Majumdar, Daniel D. Kaplan, & Joan Heller Brown. (1999). Rho and Rho Kinase Mediate Thrombin-Stimulated Vascular Smooth Muscle Cell DNA Synthesis and Migration. Circulation Research. 84(10). 1186–1193. 233 indexed citations
9.
Majumdar, Mousumi, Tammy M. Seasholtz, David Goldstein, Primal de Lanerolle, & Joan Heller Brown. (1998). Requirement for Rho-mediated Myosin Light Chain Phosphorylation in Thrombin-stimulated Cell Rounding and Its Dissociation from Mitogenesis. Journal of Biological Chemistry. 273(17). 10099–10106. 80 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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