Manish Datt
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Protease and Inhibitor Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 3
- Biochemical and Structural Characterization 3
- Chemical Synthesis and Analysis 3
- Fungal and yeast genetics research 2
- Oncology 6
- Peptidase Inhibition and Analysis 5
- Co-authors
- Mark R. Chance (4 shared papers)Amit Sharma (4 shared papers)Rajnee Kanwal (2 shared papers)Sanjay Gupta (3 shared papers)Girish Sahni (4 shared papers)Giridharan Gokulrangan (1 shared paper)Jonathan Karn (1 shared paper)Uri Mbonye (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Applied Microbiology and Biotechnology (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Manish Datt
28 papers receiving 428 citations
Peers
Comparison fields: 5 of 72
- Virology 53
- Cancer Research 58
- Molecular Biology 271
- Pharmacology 59
- Infectious Diseases 54
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2015 | 77 | |
| 3 | 2016 | 45 | |
| 4 | 2014 | 18 | |
| 5 | 2021 | 18 | |
| 6 | 2012 | 16 | |
| 7 | 2011 | 16 | |
| 8 | 2013 | 15 | |
| 9 | 2009 | 15 | |
| 10 | 2008 | 15 | |
| 11 | 2014 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2012 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2010 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2008 | 8 | |
| 19 | 2008 | 7 | |
| 20 | 2010 | 7 |
About Manish Datt
Manish Datt is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Biomedical Engineering, having authored 30 papers that have together received 432 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), Biochemical and Structural Characterization (3 papers), Chemical Synthesis and Analysis (3 papers), Fungal and yeast genetics research (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Virology (53 citations), Cancer Research (58 citations), Molecular Biology (271 citations), Pharmacology (59 citations) and Infectious Diseases (54 citations). Manish Datt has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Mark R. Chance, Amit Sharma, Rajnee Kanwal, Sanjay Gupta, Girish Sahni, Giridharan Gokulrangan, Jonathan Karn, Uri Mbonye, Xiaoqi Liu and Max Cooper. Their work appears in journals such as Journal of Biological Chemistry, Applied Microbiology and Biotechnology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, PLoS ONE and BMC Genomics.
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.