Manish Datt
Impact in
- Virology top 10%
- HIV Research and Treatment
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- Protease and Inhibitor Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 3
- Chemical Synthesis and Analysis 3
- Biochemical and Structural Characterization 3
- Ubiquitin and proteasome pathways 2
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- Protease and Inhibitor Mechanisms 4
- Co-authors
- Mark R. Chance (3 shared papers)Sanjay Gupta (2 shared papers)Rajnee Kanwal (2 shared papers)Amit Kumar Sharma (4 shared papers)Xiaoqi Liu (1 shared paper)Girish Sahni (4 shared papers)Dobrowolski Curtis (1 shared paper)Giridharan Gokulrangan (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)Applied Microbiology and Biotechnology (2 papers)BMC Genomics (2 papers)PLoS ONE (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Manish Datt
27 papers receiving 611 citations
Peers
Comparison fields: 5 of 76
- Virology 56
- Cancer Research 87
- Molecular Biology 408
- Oncology 97
- Pharmacology 62
Countries citing papers authored by Manish Datt
This map shows the geographic impact of Manish Datt'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 Manish Datt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Datt more than expected).
Fields of papers citing papers by Manish Datt
This network shows the impact of papers produced by Manish Datt. 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 Manish Datt. The network helps show where Manish Datt may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Datt, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2015 | 86 | |
| 3 | 2013 | 82 | |
| 4 | 2016 | 50 | |
| 5 | 2021 | 20 | |
| 6 | 2011 | 18 | |
| 7 | 2014 | 18 | |
| 8 | 2009 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2008 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2010 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2010 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2008 | 10 | |
| 18 | 2010 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2015 | 9 |
About Manish Datt
Manish Datt is a scholar working on Molecular Biology, Cancer Research, Oncology, Biochemistry and Infectious Diseases, having authored 29 papers that have together received 621 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Biochemical and Structural Characterization (3 papers), Ubiquitin and proteasome pathways (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Virology (56 citations), Cancer Research (87 citations), Molecular Biology (408 citations), Oncology (97 citations) and Pharmacology (62 citations). Manish Datt has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Mark R. Chance, Sanjay Gupta, Rajnee Kanwal, Amit Kumar Sharma, Xiaoqi Liu, Girish Sahni, Dobrowolski Curtis, Giridharan Gokulrangan, Uri R. Mbonye and Jonathan Karn. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Applied Microbiology and Biotechnology, BMC Genomics and PLoS ONE.
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.