Nidhi Singh
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- Computational Drug Discovery Methods 11
- Molecular Biology top 10%
- Protein Structure and Dynamics 7
- Cancer therapeutics and mechanisms 5
- Receptor Mechanisms and Signaling 4
- Organic Chemistry top 10%
- Synthesis and biological activity 3
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- Tuberculosis Research and Epidemiology 4
- Toxicology top 10%
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- Mycobacterium research and diagnosis 4
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- Enzyme Structure and Function 4
- Co-authors
- Arieh WarshelChristopher R. McCurdyWenjin LiGwénaël ChevéMohammad Imran SiddiqiFranck E. DayanCharles L. CantrellStephen O. Duke
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Nidhi Singh
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 182
- Molecular Biology 702
- Organic Chemistry 189
- Infectious Diseases 113
- Toxicology 19
Countries citing papers authored by Nidhi Singh
This map shows the geographic impact of Nidhi Singh'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 Nidhi Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidhi Singh more than expected).
Fields of papers citing papers by Nidhi Singh
This network shows the impact of papers produced by Nidhi Singh. 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 Nidhi Singh. The network helps show where Nidhi Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nidhi Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2016 | 16 | |
| 3 | 2016 | 6 | |
| 4 | Investigations on prevalence of theileriosis in cattle by polymerase chain reaction. | 2016 | 0 |
| 5 | 2015 | 4 | |
| 6 | 2015 | 7 | |
| 7 | 2014 | 3 | |
| 8 | Efficacy of some chemotherapeutic drugs against Theileria annulata infection in crossbred calves. | 2012 | 0 |
| 9 | 2012 | 5 | |
| 10 | 2012 | 16 | |
| 11 | 2012 | 2 | |
| 12 | 2011 | 9 | |
| 13 | 2010 | 187 | |
| 14 | 2010 | 68 | |
| 15 | 2010 | 50 | |
| 16 | 2009 | 5 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 7 | |
| 19 | 2006 | 40 | |
| 20 | 1995 | 6 |
About Nidhi Singh
Nidhi Singh is a scholar working on Computational Theory and Mathematics, Molecular Biology and Infectious Diseases, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (7 papers), Cancer therapeutics and mechanisms (5 papers), Mycobacterium research and diagnosis (4 papers), Enzyme Structure and Function (4 papers), Tuberculosis Research and Epidemiology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (182 citations), Molecular Biology (702 citations) and Organic Chemistry (189 citations). Nidhi Singh has collaborated with scholars based in India, United States and China. Frequent co-authors include Arieh Warshel, Christopher R. McCurdy, Wenjin Li, Gwénaël Chevé, Mohammad Imran Siddiqi, Franck E. Dayan, Charles L. Cantrell, Stephen O. Duke, Naibedya Chattopadhyay and Sameer K. Tiwari. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B and Diabetes.
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.