Apurva Narechania
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 12
- Tuberculosis Research and Epidemiology 4
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 16
- Bacterial biofilms and quorum sensing 6
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 6
- Genetics top 2%
- Genetic diversity and population structure 8
- Molecular Medicine top 5%
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- Mycobacterium research and diagnosis 6
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- Microbial Community Ecology and Physiology 4
- Co-authors
- Paul D. ThomasHuaiyu MiMichael J. CampbellAnushya MuruganujanAnish KejariwalRob DeSalleDoreen WareJoshua C. Stein
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Apurva Narechania
57 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 725
- Molecular Biology 2.5k
- Clinical Biochemistry 204
- Genetics 794
- Molecular Medicine 127
Countries citing papers authored by Apurva Narechania
This map shows the geographic impact of Apurva Narechania'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 Apurva Narechania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurva Narechania more than expected).
Fields of papers citing papers by Apurva Narechania
This network shows the impact of papers produced by Apurva Narechania. 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 Apurva Narechania. The network helps show where Apurva Narechania may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Apurva Narechania, 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 | 2025 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 12 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 71 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 203 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 49 | |
| 11 | 2016 | 8 | |
| 12 | 2016 | 11 | |
| 13 | 2015 | 85 | |
| 14 | 2014 | 91 | |
| 15 | 2011 | 31 | |
| 16 | 2010 | 8 | |
| 17 | 2009 | 291 | |
| 18 | 2008 | 177 | |
| 19 | 2003 | 35 | |
| 20 | PANTHER: A Library of Protein Families and Subfamilies Indexed by Functionbreakdown → | 2003 | 2281 |
About Apurva Narechania
Apurva Narechania is a scholar working on Infectious Diseases, Clinical Biochemistry and Paleontology, having authored 58 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Genetic diversity and population structure (8 papers), Mycobacterium research and diagnosis (6 papers), Bacterial biofilms and quorum sensing (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Tuberculosis Research and Epidemiology (4 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Infectious Diseases (725 citations), Molecular Biology (2.5k citations) and Clinical Biochemistry (204 citations). Apurva Narechania has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul D. Thomas, Huaiyu Mi, Michael J. Campbell, Anushya Muruganujan, Anish Kejariwal, Rob DeSalle, Doreen Ware, Joshua C. Stein, Paul J. Planet and Stefan Kurtz. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and PLoS ONE.
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.