Narendra Kumar
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- vaccines and immunoinformatics approaches 3
- RNA and protein synthesis mechanisms 3
-
- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Debasisa Mohanty (6 shared papers)Jeffrey Skolnick (1 shared paper)Manoj Prasad (1 shared paper)Swadha Anand (1 shared paper)Gitanjali Yadav (1 shared paper)Priya Gupta (1 shared paper)Shradha Khater (1 shared paper)Money Gupta (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)The Journal of Organic Chemistry (2 papers)Bioinformatics (2 papers)International Journal of Biological Macromolecules (1 paper)ACS Omega (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Narendra Kumar
22 papers receiving 410 citations
Peers
Comparison fields: 5 of 63
- Pharmacology 163
- Biotechnology 49
- Molecular Biology 281
- Parasitology 9
- Computational Theory and Mathematics 24
Countries citing papers authored by Narendra Kumar
This map shows the geographic impact of Narendra 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 Narendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Kumar more than expected).
Fields of papers citing papers by Narendra Kumar
This network shows the impact of papers produced by Narendra 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 Narendra Kumar. The network helps show where Narendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Narendra 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 157 | |
| 2 | 2012 | 59 | |
| 3 | 2017 | 56 | |
| 4 | 2007 | 34 | |
| 5 | 2012 | 21 | |
| 6 | 2018 | 14 | |
| 7 | 2009 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2012 | 10 | |
| 11 | 2010 | 8 | |
| 12 | 1982 | 7 | |
| 13 | 1979 | 5 | |
| 14 | 2015 | 3 | |
| 15 | 1992 | 2 | |
| 16 | 1996 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 1 |
About Narendra Kumar
Narendra Kumar is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Analytical Chemistry and Cancer Research, having authored 23 papers that have together received 417 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), vaccines and immunoinformatics approaches (3 papers), RNA and protein synthesis mechanisms (3 papers), Malaria Research and Control (2 papers), Analytical Chemistry and Chromatography (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Marine Sponges and Natural Products (2 papers). The work is most often cited by research in Pharmacology (163 citations), Biotechnology (49 citations), Molecular Biology (281 citations), Parasitology (9 citations) and Computational Theory and Mathematics (24 citations). Narendra Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Debasisa Mohanty, Jeffrey Skolnick, Manoj Prasad, Swadha Anand, Gitanjali Yadav, Priya Gupta, Shradha Khater, Money Gupta, Vikas Goel and Amit Kr. Gupta. Their work appears in journals such as Nucleic Acids Research, The Journal of Organic Chemistry, Bioinformatics, International Journal of Biological Macromolecules and ACS Omega.
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.