Anshika Singhal
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Mycobacterium research and diagnosis
Papers in
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- Tuberculosis Research and Epidemiology 9
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- Mycobacterium research and diagnosis 8
- Co-authors
- Yogendra Prakash Singh (13 shared papers)Andaleeb Sajid (12 shared papers)Gunjan Arora (13 shared papers)Hanumanthappa Krishna Prasad (4 shared papers)Vinay Kumar Nandicoori (4 shared papers)Richa Misra (9 shared papers)Sharda Thakral (2 shared papers)Abhisek Mishra (2 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Biological Chemistry (3 papers)mBio (2 papers)Journal of Bacteriology (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Anshika Singhal
21 papers receiving 672 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 315
- Epidemiology 222
- Molecular Biology 324
- Genetics 129
- Molecular Medicine 23
Countries citing papers authored by Anshika Singhal
This map shows the geographic impact of Anshika Singhal'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 Anshika Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshika Singhal more than expected).
Fields of papers citing papers by Anshika Singhal
This network shows the impact of papers produced by Anshika Singhal. 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 Anshika Singhal. The network helps show where Anshika Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Anshika Singhal, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 81 | |
| 2 | 2005 | 74 | |
| 3 | 2011 | 74 | |
| 4 | 2015 | 65 | |
| 5 | 2013 | 45 | |
| 6 | 2015 | 42 | |
| 7 | 2015 | 42 | |
| 8 | 2017 | 37 | |
| 9 | 2008 | 35 | |
| 10 | 2012 | 35 | |
| 11 | 2018 | 30 | |
| 12 | 2006 | 29 | |
| 13 | 2013 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2014 | 19 | |
| 16 | 2017 | 12 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2015 | 6 |
About Anshika Singhal
Anshika Singhal is a scholar working on Infectious Diseases, Epidemiology, Genetics, Molecular Biology and Nutrition and Dietetics, having authored 21 papers that have together received 695 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (8 papers), Bacterial Genetics and Biotechnology (5 papers), Bacillus and Francisella bacterial research (4 papers), Infectious Diseases and Tuberculosis (3 papers), Trace Elements in Health (3 papers), Diagnosis and treatment of tuberculosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Infectious Diseases (315 citations), Epidemiology (222 citations), Molecular Biology (324 citations), Genetics (129 citations) and Molecular Medicine (23 citations). Anshika Singhal has collaborated with scholars based in India, United States and France. Frequent co-authors include Yogendra Prakash Singh, Andaleeb Sajid, Gunjan Arora, Hanumanthappa Krishna Prasad, Vinay Kumar Nandicoori, Richa Misra, Sharda Thakral, Abhisek Mishra, Vipin Chandra Kalia and Viswa Mohan Katoch. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, mBio, Journal of Bacteriology and Scientific Reports.
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.