Prasun Moitra

641 total citations
8 papers, 537 citations indexed

About

Prasun Moitra is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Prasun Moitra has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cell Biology. Recurrent topics in Prasun Moitra's work include Erythrocyte Function and Pathophysiology (3 papers), Cancer therapeutics and mechanisms (1 paper) and Blood properties and coagulation (1 paper). Prasun Moitra is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), Cancer therapeutics and mechanisms (1 paper) and Blood properties and coagulation (1 paper). Prasun Moitra collaborates with scholars based in United States, India and United Kingdom. Prasun Moitra's co-authors include Joyoti Basu, Debabrata Mandal, Samiran Saha, Kenneth Gable, Teresa Dunn, Gongshe Han, Jeffrey M. Harmon, Robert H. Brown, Niranjanakumari Somashekarappa and Florian Eichler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Prasun Moitra

8 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasun Moitra United States	7	365	205	117	61	55	8	537
Florence Boulmé Austria	10	464 1.3×	137 0.7×	56 0.5×	25 0.4×	52 0.9×	15	719
Fangtao Chi United States	9	545 1.5×	48 0.2×	191 1.6×	18 0.3×	72 1.3×	11	765
Julia Philippou‐Massier Germany	10	576 1.6×	90 0.4×	150 1.3×	20 0.3×	29 0.5×	14	751
Bianca Collins Germany	7	328 0.9×	91 0.4×	83 0.7×	37 0.6×	21 0.4×	7	575
Sang‐Yoon Lee South Korea	9	365 1.0×	70 0.3×	158 1.4×	22 0.4×	27 0.5×	22	531
Modem Suhasini United States	17	645 1.8×	165 0.8×	53 0.5×	16 0.3×	135 2.5×	22	922
Mariagiuseppina Pellegrini Italy	11	161 0.4×	217 1.1×	93 0.8×	12 0.2×	41 0.7×	27	496
Matias J. Caldez Singapore	11	257 0.7×	76 0.4×	93 0.8×	28 0.5×	33 0.6×	13	511
Janice C. Jones United States	12	676 1.9×	123 0.6×	93 0.8×	28 0.5×	57 1.0×	16	984
Patrycja A. Krawczyk United Kingdom	7	461 1.3×	77 0.4×	109 0.9×	12 0.2×	90 1.6×	8	697

Countries citing papers authored by Prasun Moitra

Since Specialization

Citations

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

Fields of papers citing papers by Prasun Moitra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasun Moitra

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

All Works

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8 of 8 papers shown

Moitra, Prasun, Vivek Anantharaman, Kazuyo Takeda, et al.. (2015). Expression, Purification, and Biological Characterization of Babesia microti Apical Membrane Antigen 1. Infection and Immunity. 83(10). 3890–3901. 24 indexed citations

Zhuang, Lei, Prasun Moitra, Tzanko S. Stantchev, et al.. (2010). Human TOP1 residues implicated in species specificity of HIV-1 infection are required for interaction with BTBD2, and RNAi of BTBD2 in old world monkey and human cells increases permissiveness to HIV-1 infection. Virology Journal. 7(1). 332–332. 2 indexed citations

Han, Gongshe, Sita D. Gupta, Kenneth Gable, et al.. (2009). Identification of small subunits of mammalian serine palmitoyltransferase that confer distinct acyl-CoA substrate specificities. Proceedings of the National Academy of Sciences. 106(20). 8186–8191. 222 indexed citations

Han, Gongshe, Kenneth Gable, Lianying Yan, et al.. (2006). Expression of a Novel Marine Viral Single-chain Serine Palmitoyltransferase and Construction of Yeast and Mammalian Single-chain Chimera. Journal of Biological Chemistry. 281(52). 39935–39942. 46 indexed citations

Rallabhandi, Prasad, Keiko Hashimoto, Yin Yuan Mo, et al.. (2002). Sumoylation of Topoisomerase I Is Involved in Its Partitioning between Nucleoli and Nucleoplasm and Its Clearing from Nucleoli in Response to Camptothecin. Journal of Biological Chemistry. 277(42). 40020–40026. 48 indexed citations

Mandal, Debabrata, Prasun Moitra, Samiran Saha, & Joyoti Basu. (2002). Caspase 3 regulates phosphatidylserine externalization and phagocytosis of oxidatively stressed erythrocytes. FEBS Letters. 513(2-3). 184–188. 163 indexed citations

Mandal, Debabrata, Prasun Moitra, & Joyoti Basu. (2002). Mapping of a spectrin-binding domain of human erythrocyte membrane protein 4.2. Biochemical Journal. 364(3). 841–847. 16 indexed citations

Bhattacharyya, Raja, et al.. (1999). Mapping of a palmitoylatable band 3-binding domain of human erythrocyte membrane protein 4.2. Biochemical Journal. 340(2). 505–512. 16 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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