Curtis Dobrowolski
- Virology top 1%
- HIV Research and Treatment 20
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 7
- HIV/AIDS drug development and treatment 4
- Biological Psychiatry top 10%
- Immunology top 10%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
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- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Jonathan KarnBiswajit DasJames E. DahlmanMarine Z. C. HatitKalina PaunovskaDavid Alvarez-CarbonellMelissa P. LokugamageSaba Valadkhan
- Cited by
- VirologyNeurologyInfectious Diseases
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nano Letters (2 papers)Nature Nanotechnology (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Curtis Dobrowolski
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Virology 631
- Neurology 171
- Infectious Diseases 374
- Biological Psychiatry 46
- Immunology 378
Countries citing papers authored by Curtis Dobrowolski
This map shows the geographic impact of Curtis Dobrowolski'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 Curtis Dobrowolski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Dobrowolski more than expected).
Fields of papers citing papers by Curtis Dobrowolski
This network shows the impact of papers produced by Curtis Dobrowolski. 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 Curtis Dobrowolski. The network helps show where Curtis Dobrowolski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Curtis Dobrowolski, 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 | 49 | |
| 3 | 2023 | 46 | |
| 4 | 2022 | 60 | |
| 5 | 2022 | 93 | |
| 6 | 2022 | 38 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 36 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 49 | |
| 12 | 2021 | 25 | |
| 13 | 2018 | 115 | |
| 14 | 2018 | 26 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 16 | |
| 17 | 2016 | 133 | |
| 18 | 2014 | 46 | |
| 19 | 2013 | 79 | |
| 20 | 2012 | 48 |
About Curtis Dobrowolski
Curtis Dobrowolski is a scholar working on Virology, Neurology and Infectious Diseases, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), HIV/AIDS Research and Interventions (7 papers), RNA Interference and Gene Delivery (7 papers), Immune Cell Function and Interaction (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), HIV/AIDS drug development and treatment (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (631 citations), Neurology (171 citations) and Infectious Diseases (374 citations). Curtis Dobrowolski has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jonathan Karn, Biswajit Das, James E. Dahlman, Marine Z. C. Hatit, Kalina Paunovska, David Alvarez-Carbonell, Melissa P. Lokugamage, Saba Valadkhan, Kien Nguyen and Benjamin G. Luttge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nano Letters and Nature Nanotechnology.
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.