Amit Kumar Pandey
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 24
- Epidemiology 17
- Mycobacterium research and diagnosis 14
- Co-authors
- Christopher M. Sassetti (11 shared papers)Yibin Yang (3 shared papers)Michelle A. Kelliher (3 shared papers)Sarah M. Fortune (2 shared papers)Eric J. Rubin (3 shared papers)François Coulombe (2 shared papers)Marcel A. Behr (2 shared papers)Maurine D. Miner (2 shared papers)
- Journals
- Scientific Reports (4 papers)Tuberculosis (3 papers)Frontiers in Immunology (3 papers)eLife (2 papers)mSystems (2 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Amit Kumar Pandey
50 papers receiving 2.6k citations
Amit Kumar Pandey's Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 1.3k
- Molecular Medicine 206
- Pharmacology 304
- Epidemiology 925
- Immunology 551
Countries citing papers authored by Amit Kumar Pandey
This map shows the geographic impact of Amit Kumar Pandey'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 Amit Kumar Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar Pandey more than expected).
Fields of papers citing papers by Amit Kumar Pandey
This network shows the impact of papers produced by Amit Kumar Pandey. 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 Amit Kumar Pandey. The network helps show where Amit Kumar Pandey may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar Pandey, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mycobacterial persistence requires the utilization of host cholesterol Hit paper breakdown → | 2008 | 852 |
| 2 | 2009 | 239 | |
| 3 | Cholesterol Catabolism by Mycobacterium tuberculosis Requires Transcriptional and Metabolic Adaptations Hit paper breakdown → | 2012 | 230 |
| 4 | 2009 | 194 | |
| 5 | 2007 | 194 | |
| 6 | 2006 | 151 | |
| 7 | 2009 | 132 | |
| 8 | 2021 | 110 | |
| 9 | Role of cholesterol in Mycobacterium tuberculosis infection. | 2009 | 86 |
| 10 | 2008 | 66 | |
| 11 | 2009 | 47 | |
| 12 | 2022 | 42 | |
| 13 | 2015 | 41 | |
| 14 | 2017 | 39 | |
| 15 | 2006 | 28 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2018 | 21 | |
| 19 | 2014 | 19 | |
| 20 | 2012 | 16 |
About Amit Kumar Pandey
Amit Kumar Pandey is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (14 papers), Immune Response and Inflammation (6 papers), Antibiotic Resistance in Bacteria (5 papers), Biochemical and Molecular Research (4 papers), Plant Pathogens and Fungal Diseases (3 papers), RNA and protein synthesis mechanisms (3 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Molecular Medicine (206 citations), Pharmacology (304 citations), Epidemiology (925 citations) and Immunology (551 citations). Amit Kumar Pandey has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Christopher M. Sassetti, Yibin Yang, Michelle A. Kelliher, Sarah M. Fortune, Eric J. Rubin, François Coulombe, Marcel A. Behr, Maurine D. Miner, David R. Sherman and Jennifer C. Chang. Their work appears in journals such as Scientific Reports, Tuberculosis, Frontiers in Immunology, eLife and mSystems.
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.