Anshuman Dixit
Impact in
-
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Heat shock proteins research
- Protein Structure and Dynamics
- Insect Resistance and Genetics
Papers in
-
- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 5
- Heat shock proteins research 5
- Receptor Mechanisms and Signaling 4
-
- Computational Drug Discovery Methods 18
- Co-authors
- Gennady M. Verkhivker (11 shared papers)Anil K. Saxena (5 shared papers)Pratima Kumari (5 shared papers)Priyanka Debta (1 shared paper)Sugandh Kumar (12 shared papers)Ali Torkamani (2 shared papers)Nicholas J. Schork (2 shared papers)Robert L. Matts (2 shared papers)
- Journals
- Scientific Reports (6 papers)Bioorganic & Medicinal Chemistry (4 papers)PLoS ONE (4 papers)Journal of Molecular Graphics and Modelling (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Anshuman Dixit
78 papers receiving 2.0k citations
Anshuman Dixit's Hit Papers
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 301
- Molecular Biology 1.2k
- Periodontics 75
- Toxicology 41
- Organic Chemistry 342
Countries citing papers authored by Anshuman Dixit
This map shows the geographic impact of Anshuman Dixit'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 Anshuman Dixit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshuman Dixit more than expected).
Fields of papers citing papers by Anshuman Dixit
This network shows the impact of papers produced by Anshuman Dixit. 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 Anshuman Dixit. The network helps show where Anshuman Dixit may publish in the future.
Co-authors
The 25 scholars most cited alongside Anshuman Dixit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oral Potentially Malignant Disorders: Etiology, Pathogenesis, and Transformation Into Oral Cancer Hit paper breakdown → | 2022 | 104 |
| 2 | 2005 | 101 | |
| 3 | 2011 | 96 | |
| 4 | 2008 | 94 | |
| 5 | 2020 | 74 | |
| 6 | 2010 | 72 | |
| 7 | 2011 | 66 | |
| 8 | 2009 | 65 | |
| 9 | 2009 | 63 | |
| 10 | 2013 | 58 | |
| 11 | 2013 | 54 | |
| 12 | 2013 | 51 | |
| 13 | 2008 | 46 | |
| 14 | 2012 | 45 | |
| 15 | 2007 | 40 | |
| 16 | 2008 | 39 | |
| 17 | 2014 | 38 | |
| 18 | 2011 | 37 | |
| 19 | 2009 | 35 | |
| 20 | 2018 | 34 |
About Anshuman Dixit
Anshuman Dixit is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Organic Chemistry and Cancer Research, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Protein Structure and Dynamics (8 papers), Bioinformatics and Genomic Networks (5 papers), Heat shock proteins research (5 papers), Receptor Mechanisms and Signaling (4 papers), Influenza Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Computational Theory and Mathematics (301 citations), Molecular Biology (1.2k citations), Periodontics (75 citations), Toxicology (41 citations) and Organic Chemistry (342 citations). Anshuman Dixit has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Gennady M. Verkhivker, Anil K. Saxena, Pratima Kumari, Priyanka Debta, Sugandh Kumar, Ali Torkamani, Nicholas J. Schork, Robert L. Matts, Brian S. J. Blagg and Intekhab Alam. Their work appears in journals such as Scientific Reports, Bioorganic & Medicinal Chemistry, PLoS ONE, Journal of Molecular Graphics and Modelling and Journal of 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.