Arnold Reynaldi
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 16
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 4
- Modeling and Simulation top 0.5%
- Health top 1%
- Virology top 5%
- HIV Research and Treatment 8
- Immunology top 5%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 4
-
- Influenza Virus Research Studies 3
- Co-authors
- Miles P. DavenportStephen J. KentAdam K. WheatleyDeborah CromerJennifer A. JunoDavid S. KhouryTimothy E. SchlubKanta Subbarao
- Journals
- Nature reviews. Immunology (3 papers)The Journal of Infectious Diseases (3 papers)Nature Medicine (2 papers)
- Partner nations
- AustraliaUnited StatesKenya
In The Last Decade
Arnold Reynaldi
36 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Infectious Diseases 2.8k
- Modeling and Simulation 347
- Health 470
- Virology 183
- Immunology 811
Countries citing papers authored by Arnold Reynaldi
This map shows the geographic impact of Arnold Reynaldi'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 Arnold Reynaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnold Reynaldi more than expected).
Fields of papers citing papers by Arnold Reynaldi
This network shows the impact of papers produced by Arnold Reynaldi. 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 Arnold Reynaldi. The network helps show where Arnold Reynaldi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnold Reynaldi, 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 | 1 | |
| 2 | 2024 | 28 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 82 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 5 | |
| 9 | Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infectionbreakdown → | 2021 | 2105 |
| 10 | 2021 | 167 | |
| 11 | 2021 | 43 | |
| 12 | 2020 | 91 | |
| 13 | 2020 | 81 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 67 | |
| 16 | 2017 | 40 | |
| 17 | 2017 | 66 | |
| 18 | 2016 | 3 | |
| 19 | 2016 | 14 | |
| 20 | 2015 | 27 |
About Arnold Reynaldi
Arnold Reynaldi is a scholar working on Virology, Infectious Diseases, Immunology, Modeling and Simulation and Biological Psychiatry, having authored 36 papers that have together received 3.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 Clinical Research Studies (11 papers), HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), SARS-CoV-2 detection and testing (4 papers), Immunotherapy and Immune Responses (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Modeling and Simulation (347 citations), Health (470 citations), Virology (183 citations) and Immunology (811 citations). Arnold Reynaldi has collaborated with scholars based in Australia, United States and Kenya. Frequent co-authors include Miles P. Davenport, Stephen J. Kent, Adam K. Wheatley, Deborah Cromer, Jennifer A. Juno, David S. Khoury, Timothy E. Schlub, Kanta Subbarao, James A. Triccas and Wen Shi Lee. Their work appears in journals such as Nature reviews. Immunology, The Journal of Infectious Diseases, Nature Medicine, Nature Communications and ACS Nano.
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.