G Majumdar

33 total papers · 432 total citations
13 papers, 346 citations indexed

About

G Majumdar is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, G Majumdar has authored 13 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in G Majumdar's work include Streptococcal Infections and Treatments (4 papers), Immune Response and Inflammation (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). G Majumdar is often cited by papers focused on Streptococcal Infections and Treatments (4 papers), Immune Response and Inflammation (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). G Majumdar collaborates with scholars based in United States, India and Australia. G Majumdar's co-authors include Mark A. Tomai, E H Beachey, Malak Kotb, Malak Kotb, Michael E. Dockter, Jacob Aelion, Dominic G. Spinella, Hiroo Ohnishi, Ivan Gerling and Nataliya Lenchik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

G Majumdar

13 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G Majumdar	177	154	101	54	51	13	346
Juana Calderón‐Amador	144 0.8×	106 0.7×	126 1.2×	49 0.9×	47 0.9×	19	324
Nadia Keller	98 0.6×	117 0.8×	105 1.0×	103 1.9×	56 1.1×	14	344
Katherine Bodman-Smith	115 0.6×	59 0.4×	53 0.5×	53 1.0×	97 1.9×	10	355
Aniuska Becerra	147 0.8×	111 0.7×	99 1.0×	66 1.2×	79 1.5×	15	389
E. A. Petersen	88 0.5×	124 0.8×	119 1.2×	49 0.9×	146 2.9×	21	396
Angeline Tilly Dang	95 0.5×	54 0.4×	73 0.7×	140 2.6×	78 1.5×	10	346
Leanne C. Helgers	125 0.7×	41 0.3×	98 1.0×	95 1.8×	66 1.3×	9	305
C B Wilson	184 1.0×	107 0.7×	37 0.4×	51 0.9×	84 1.6×	7	358
Shigeno Saito	109 0.6×	137 0.9×	28 0.3×	88 1.6×	51 1.0×	17	368
C Adam	148 0.8×	65 0.4×	42 0.4×	54 1.0×	28 0.5×	16	316

Countries citing papers authored by G Majumdar

Since Specialization

Citations

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

Fields of papers citing papers by G Majumdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Majumdar

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

All Works

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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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