Milind Misra
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
Papers in
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- Computational Drug Discovery Methods 9
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- Chemical Synthesis and Analysis 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Jean‐Loup Faulon (3 shared papers)Ken Sale (1 shared paper)Shawn Martin (1 shared paper)Rajat Sapra (1 shared paper)Catherine H. Schein (4 shared papers)Denis Andrienko (1 shared paper)Björn Baumeier (1 shared paper)O. Anatole von Lilienfeld (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of Chemical Information and Modeling (2 papers)Bioorganic & Medicinal Chemistry (2 papers)FEBS Journal (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Milind Misra
17 papers receiving 309 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 144
- Molecular Biology 165
- Toxicology 7
- Computational Mathematics 1
- Spectroscopy 26
Countries citing papers authored by Milind Misra
This map shows the geographic impact of Milind Misra'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 Milind Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milind Misra more than expected).
Fields of papers citing papers by Milind Misra
This network shows the impact of papers produced by Milind Misra. 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 Milind Misra. The network helps show where Milind Misra may publish in the future.
Co-authors
The 25 scholars most cited alongside Milind Misra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 132 | |
| 2 | 2008 | 34 | |
| 3 | 2011 | 33 | |
| 4 | 2007 | 21 | |
| 5 | 2007 | 18 | |
| 6 | 2004 | 13 | |
| 7 | 2010 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2005 | 7 | |
| 10 | 2006 | 6 | |
| 11 | 2013 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2007 | 5 | |
| 14 | 2006 | 4 | |
| 15 | 2010 | 4 | |
| 16 | 2004 | 1 | |
| 17 | 2008 | 1 |
About Milind Misra
Milind Misra is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 316 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Analytical Chemistry and Chromatography (5 papers), Molecular spectroscopy and chirality (4 papers), Chemical Synthesis and Analysis (2 papers), Marine Biology and Environmental Chemistry (1 paper), Ubiquitin and proteasome pathways (1 paper), Advanced Chemical Physics Studies (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Computational Theory and Mathematics (144 citations), Molecular Biology (165 citations), Toxicology (7 citations), Computational Mathematics (1 citation) and Spectroscopy (26 citations). Milind Misra has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jean‐Loup Faulon, Ken Sale, Shawn Martin, Rajat Sapra, Catherine H. Schein, Denis Andrienko, Björn Baumeier, O. Anatole von Lilienfeld, Carol A. Venanzi and Glen E. Kellogg. Their work appears in journals such as Bioinformatics, Journal of Chemical Information and Modeling, Bioorganic & Medicinal Chemistry, FEBS Journal and Current Medicinal Chemistry.
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.