Sudhir Marathe

14 total papers · 938 total citations
14 papers, 761 citations indexed

About

Sudhir Marathe is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Sudhir Marathe has authored 14 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in Sudhir Marathe's work include Sphingolipid Metabolism and Signaling (4 papers), Fungal and yeast genetics research (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Sudhir Marathe is often cited by papers focused on Sphingolipid Metabolism and Signaling (4 papers), Fungal and yeast genetics research (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Sudhir Marathe collaborates with scholars based in United States, United Kingdom and South Sudan. Sudhir Marathe's co-authors include Ira Tabas, Kevin Jon Williams, Nanda Beatini, Robert Mintzer, Michael Yellin, Scott L. Schissel, George Kuriakose, George A. Keesler, Yoshimune Shiratori and Andrew Leventhal and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sudhir Marathe

14 papers receiving 744 citations

Author Peers

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

Author						Papers	Cites
Sudhir Marathe	486	160	116	115	106	14	761
Brian M. Clancy	537 1.1×	190 1.2×	157 1.4×	71 0.6×	78 0.7×	17	881
Jeong Suk Kang	348 0.7×	103 0.6×	84 0.7×	112 1.0×	143 1.3×	24	835
Wanli Cheng	424 0.9×	162 1.0×	197 1.7×	118 1.0×	82 0.8×	9	731
Marie‐Thérèse Pieraggi	294 0.6×	136 0.8×	76 0.7×	166 1.4×	101 1.0×	13	651
Jérôme Terrand	316 0.7×	103 0.6×	90 0.8×	93 0.8×	89 0.8×	23	673
Gaetano Arcuri	402 0.8×	78 0.5×	100 0.9×	81 0.7×	88 0.8×	19	708
Elias N. Glaros	393 0.8×	204 1.3×	152 1.3×	71 0.6×	65 0.6×	23	720
Olga Kotova	565 1.2×	179 1.1×	200 1.7×	52 0.5×	99 0.9×	21	823
Nobuyo Maeda	268 0.6×	196 1.2×	156 1.3×	68 0.6×	97 0.9×	13	779
Sabine Uhles	345 0.7×	173 1.1×	53 0.5×	96 0.8×	71 0.7×	16	623

Countries citing papers authored by Sudhir Marathe

Since Specialization

Citations

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

Fields of papers citing papers by Sudhir Marathe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhir Marathe

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhir Marathe. A scholar is included among the top collaborators of Sudhir Marathe 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 Sudhir Marathe. Sudhir Marathe 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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