Niti Kumar
Impact in
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- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
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- Synthesis and biological activity
- Synthetic Organic Chemistry Methods
Papers in
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- Advanced biosensing and bioanalysis techniques 16
- DNA and Nucleic Acid Chemistry 16
- RNA Interference and Gene Delivery 10
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 4
- Heat shock proteins research 4
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- Malaria Research and Control 5
- Co-authors
- Souvik Maiti (13 shared papers)Michael Petersen (5 shared papers)Amit Arora (2 shared papers)Balasubramanian Chandramouli (5 shared papers)Saurabh Agrawal (1 shared paper)Richa Basundra (1 shared paper)Bankanidhi Sahoo (1 shared paper)Sudipta Maiti (1 shared paper)
In The Last Decade
Niti Kumar
31 papers receiving 811 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 669
- Organic Chemistry 139
- Pharmacology 34
- Parasitology 13
- Ecology 45
Countries citing papers authored by Niti Kumar
This map shows the geographic impact of Niti 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 Niti Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niti Kumar more than expected).
Fields of papers citing papers by Niti Kumar
This network shows the impact of papers produced by Niti 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 Niti Kumar. The network helps show where Niti Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Niti 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 103 | |
| 2 | 2008 | 75 | |
| 3 | 2008 | 63 | |
| 4 | 2005 | 54 | |
| 5 | 2004 | 54 | |
| 6 | 2009 | 48 | |
| 7 | 2007 | 43 | |
| 8 | 2005 | 35 | |
| 9 | 2008 | 33 | |
| 10 | 2007 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2007 | 31 | |
| 13 | 2007 | 25 | |
| 14 | 2016 | 20 | |
| 15 | 2009 | 20 | |
| 16 | 2017 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2007 | 16 | |
| 20 | 2019 | 13 |
About Niti Kumar
Niti Kumar is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Organic Chemistry, Infectious Diseases and Computational Theory and Mathematics, having authored 33 papers that have together received 816 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), DNA and Nucleic Acid Chemistry (16 papers), RNA Interference and Gene Delivery (10 papers), Malaria Research and Control (5 papers), RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers), Heat shock proteins research (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (669 citations), Organic Chemistry (139 citations), Pharmacology (34 citations), Parasitology (13 citations) and Ecology (45 citations). Niti Kumar has collaborated with scholars based in India, Denmark and Italy. Frequent co-authors include Souvik Maiti, Michael Petersen, Amit Arora, Balasubramanian Chandramouli, Saurabh Agrawal, Richa Basundra, Bankanidhi Sahoo, Sudipta Maiti, Mohammad Anas and Katrine E. Nielsen. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, ChemMedChem, Biochemistry and Journal of the American Chemical Society.
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.