Naveet Wig
Impact in
- Infectious Diseases top 1%
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- Antifungal resistance and susceptibility
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- COVID-19 Clinical Research Studies 33
- Antifungal resistance and susceptibility 21
- SARS-CoV-2 and COVID-19 Research 13
- Virology 18
- HIV Research and Treatment 17
- Co-authors
- Manish SonejaMadhu VajpayeeRohini HandaAshutosh BiswasArti KapilArvind KumarP SethJ P Wali
- Journals
- Drug Discoveries & Therapeutics (11 papers)The Indian Journal of Medical Research (4 papers)QJM (4 papers)Mycoses (3 papers)BMC Infectious Diseases (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Naveet Wig
184 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 1.2k
- Virology 181
- Emergency Medicine 235
- Molecular Medicine 106
- Applied Microbiology and Biotechnology 40
Countries citing papers authored by Naveet Wig
This map shows the geographic impact of Naveet Wig'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 Naveet Wig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveet Wig more than expected).
Fields of papers citing papers by Naveet Wig
This network shows the impact of papers produced by Naveet Wig. 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 Naveet Wig. The network helps show where Naveet Wig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naveet Wig, 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 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2017 | 7 | |
| 19 | Defects in blood dendritic cell subsets in HIV-1 subtype c infected Indians. | 2010 | 8 |
| 20 | 2010 | 6 |
About Naveet Wig
Naveet Wig is a scholar working on Infectious Diseases, Virology, Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Parasitology, having authored 206 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (33 papers), Long-Term Effects of COVID-19 (25 papers), Antifungal resistance and susceptibility (21 papers), Mosquito-borne diseases and control (18 papers), HIV Research and Treatment (17 papers), Fungal Infections and Studies (14 papers), COVID-19 and Mental Health (13 papers) and SARS-CoV-2 and COVID-19 Research (13 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Virology (181 citations), Emergency Medicine (235 citations), Molecular Medicine (106 citations) and Applied Microbiology and Biotechnology (40 citations). Naveet Wig has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Manish Soneja, Madhu Vajpayee, Rohini Handa, Ashutosh Biswas, Arti Kapil, Arvind Kumar, P Seth, J P Wali, Arijit Biswas and Nitin Gupta. Their work appears in journals such as Drug Discoveries & Therapeutics, The Indian Journal of Medical Research, QJM, Mycoses and BMC Infectious Diseases.
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.