M. S. Vijayabaskar

75 total papers · 2.6k total citations
23 papers, 997 citations indexed

About

M. S. Vijayabaskar is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, M. S. Vijayabaskar has authored 23 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Hematology and 4 papers in Cell Biology. Recurrent topics in M. S. Vijayabaskar's work include Acute Myeloid Leukemia Research (6 papers), Protein Structure and Dynamics (5 papers) and Genomics and Chromatin Dynamics (3 papers). M. S. Vijayabaskar is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Protein Structure and Dynamics (5 papers) and Genomics and Chromatin Dynamics (3 papers). M. S. Vijayabaskar collaborates with scholars based in United Kingdom, India and Singapore. M. S. Vijayabaskar's co-authors include Saraswathi Vishveshwara, David R. Westhead, George S. Vassiliou, Christa Geeke Toenhake, Richárd Bártfai, Margarete A. Fabre, Muxin Gu, Vivek Iyer, Clea Bárcena and Slavé Petrovski and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and The EMBO Journal.

In The Last Decade

M. S. Vijayabaskar

23 papers receiving 986 citations

Hit Papers

Genome-wide analyses of 2... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
M. S. Vijayabaskar 636 257 132 124 101 23 997
Heriberto Bruzzoni‐Giovanelli 568 0.9× 179 0.7× 145 1.1× 120 1.0× 55 0.5× 22 929
Chang H. Park 485 0.8× 460 1.8× 79 0.6× 208 1.7× 58 0.6× 19 1.1k
Evgeny Kulesskiy 684 1.1× 71 0.3× 116 0.9× 93 0.8× 114 1.1× 25 1.2k
Margit Bauer 525 0.8× 359 1.4× 131 1.0× 137 1.1× 27 0.3× 26 1.0k
Stephanie Blencke 708 1.1× 86 0.3× 67 0.5× 83 0.7× 84 0.8× 11 1.1k
Frank J. Bruzzese 847 1.3× 212 0.8× 50 0.4× 48 0.4× 43 0.4× 16 979
Jacky Chi Ki Ngo 890 1.4× 189 0.7× 40 0.3× 83 0.7× 39 0.4× 45 1.2k
Lu Min Wong 476 0.7× 233 0.9× 183 1.4× 55 0.4× 37 0.4× 21 1.0k
Sonia Cerquozzi 514 0.8× 302 1.2× 53 0.4× 365 2.9× 127 1.3× 21 937
Stacey L. Hembruff 584 0.9× 59 0.2× 100 0.8× 67 0.5× 37 0.4× 22 890

Countries citing papers authored by M. S. Vijayabaskar

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Vijayabaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Vijayabaskar. 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 M. S. Vijayabaskar. The network helps show where M. S. Vijayabaskar may publish in the future.

Co-authorship network of co-authors of M. S. Vijayabaskar

This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Vijayabaskar. A scholar is included among the top collaborators of M. S. Vijayabaskar 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 M. S. Vijayabaskar. M. S. Vijayabaskar 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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