Malay Kumar Basu

3.2k citations
29 papers · 1.4k · h-index 16

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Mitochondrial Function and Pathology
    • RNA modifications and cancer
    • Chemical Synthesis and Analysis
  • Virology top 10%

Papers in

    • RNA modifications and cancer 7
    • Genomics and Phylogenetic Studies 5
    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 4
    • Mitochondrial Function and Pathology 3
    • Microbial Community Ecology and Physiology 3

Malay Kumar Basu

29 papers receiving 1.4k citations

Peers

Malay Kumar Basu
Comparison fields: 5 of 103
  • Molecular Biology 1.0k
  • Virology 43
  • Pharmacology 146
  • Ecology 191
  • Biotechnology 57
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Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by Malay Kumar Basu

Since Specialization
Citations

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

Fields of papers citing papers by Malay Kumar Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malay Kumar Basu. 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 Malay Kumar Basu. The network helps show where Malay Kumar Basu may publish in the future.

Co-authors

The 25 scholars most cited alongside Malay Kumar Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Malay Kumar Basu Line = papers co-authored together Malay Kumar Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012426
2 2011145
3 2008144
4 2010130
5 2005110
6 200975
7 201663
8 199850
9 201941
10 201535
11 200832
12 200530
13 201523
14 201421
15 201119
16 200817
17 202014
18 201914
19 200111
20 200610

About Malay Kumar Basu

Malay Kumar Basu is a scholar working on Molecular Biology, Ecology, Immunology, Renewable Energy, Sustainability and the Environment and Cancer Research, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Genomics and Diagnostics (3 papers), Metalloenzymes and iron-sulfur proteins (3 papers), Mitochondrial Function and Pathology (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Virology (43 citations), Pharmacology (146 citations), Ecology (191 citations) and Biotechnology (57 citations). Malay Kumar Basu has collaborated with scholars based in United States, India and New Zealand. Frequent co-authors include Daniel H. Haft, Eugene V. Koonin, Igor B. Rogozin, Jeremy Selengut, R. Alexander Richter, Erin Beck, Derek M. Harkins, Douglas A. Mitchell, Liran Carmel and I. King Jordan. Their work appears in journals such as Bioinformatics, Cell Cycle, Journal of Cell Science, Thrombosis and Haemostasis and Journal of Biosciences.

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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