Manish Kumar
Impact in
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Machine Learning in Bioinformatics 29
- Genomics and Phylogenetic Studies 24
- RNA and protein synthesis mechanisms 19
- Protein Structure and Dynamics 9
-
- Antibiotic Resistance in Bacteria 18
- Co-authors
- Neelja Singhal (37 shared papers)Jugsharan Singh Virdi (17 shared papers)Gajendra P. S. Raghava (12 shared papers)Pawan Kumar Kanaujia (1 shared paper)M. Michael Gromiha (3 shared papers)Ravindra Kumar (14 shared papers)Bandana Kumari (15 shared papers)Ruchi Verma (1 shared paper)
- Journals
- PLoS ONE (9 papers)Frontiers in Microbiology (9 papers)Scientific Reports (6 papers)PeerJ (2 papers)Database (2 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Manish Kumar
104 papers receiving 3.4k citations
Manish Kumar's Hit Papers
Peers
Comparison fields: 5 of 151
- Clinical Biochemistry 452
- Molecular Medicine 245
- Endocrinology 161
- Molecular Biology 2.0k
- Microbiology 130
Countries citing papers authored by Manish Kumar
This map shows the geographic impact of Manish Kumar'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 Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar more than expected).
Fields of papers citing papers by Manish Kumar
This network shows the impact of papers produced by Manish Kumar. 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 Kumar. The network helps show where Manish Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Kumar, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis Hit paper breakdown → | 2015 | 1164 |
| 2 | 2007 | 239 | |
| 3 | 2007 | 237 | |
| 4 | 2014 | 124 | |
| 5 | 2010 | 109 | |
| 6 | 2009 | 106 | |
| 7 | 2005 | 92 | |
| 8 | 2019 | 71 | |
| 9 | 2005 | 61 | |
| 10 | 2021 | 54 | |
| 11 | 2012 | 53 | |
| 12 | 2014 | 51 | |
| 13 | 2020 | 48 | |
| 14 | 2008 | 48 | |
| 15 | 2013 | 42 | |
| 16 | 2018 | 42 | |
| 17 | 2009 | 40 | |
| 18 | 2014 | 38 | |
| 19 | 2014 | 32 | |
| 20 | 2009 | 32 |
About Manish Kumar
Manish Kumar is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Infectious Diseases and Pharmacology, having authored 110 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (29 papers), Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (19 papers), Antibiotic Resistance in Bacteria (18 papers), Yersinia bacterium, plague, ectoparasites research (10 papers), Protein Structure and Dynamics (9 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Clinical Biochemistry (452 citations), Molecular Medicine (245 citations), Endocrinology (161 citations), Molecular Biology (2.0k citations) and Microbiology (130 citations). Manish Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Neelja Singhal, Jugsharan Singh Virdi, Gajendra P. S. Raghava, Pawan Kumar Kanaujia, M. Michael Gromiha, Ravindra Kumar, Bandana Kumari, Ruchi Verma, Pankaj Kumar Arora and Rakesh Jain. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Scientific Reports, PeerJ and Database.
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.