Daniel J. Verdon
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
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- RNA Interference and Gene Delivery 2
- Signaling Pathways in Disease 1
- Co-authors
- P. Rod Dunbar (10 shared papers)Anna E. S. Brooks (5 shared papers)Misty R. Jenkins (3 shared papers)Edward Gane (1 shared paper)Christian Schwabe (1 shared paper)G. Mani Subramanian (1 shared paper)Anh H. Nguyen (1 shared paper)Anuj Gaggar (1 shared paper)
- Journals
- Journal of Hepatology (1 paper)Journal of Leukocyte Biology (1 paper)Virology Journal (1 paper)Frontiers in Immunology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Daniel J. Verdon
14 papers receiving 464 citations
Peers
Comparison fields: 5 of 76
- Hepatology 154
- Immunology 164
- Epidemiology 196
- Oncology 140
- Cancer Research 44
Countries citing papers authored by Daniel J. Verdon
This map shows the geographic impact of Daniel J. Verdon'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 Daniel J. Verdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Verdon more than expected).
Fields of papers citing papers by Daniel J. Verdon
This network shows the impact of papers produced by Daniel J. Verdon. 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 Daniel J. Verdon. The network helps show where Daniel J. Verdon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Verdon, 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 | 2019 | 223 | |
| 2 | 2020 | 55 | |
| 3 | 2016 | 31 | |
| 4 | 2021 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2007 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2011 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2013 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Daniel J. Verdon
Daniel J. Verdon is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Cell Biology, having authored 15 papers that have together received 473 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Skin and Cellular Biology Research (2 papers), Cell Adhesion Molecules Research (2 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Hepatology (154 citations), Immunology (164 citations), Epidemiology (196 citations), Oncology (140 citations) and Cancer Research (44 citations). Daniel J. Verdon has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include P. Rod Dunbar, Anna E. S. Brooks, Misty R. Jenkins, Edward Gane, Christian Schwabe, G. Mani Subramanian, Anh H. Nguyen, Anuj Gaggar, Matthias Mulazzani and Margaret A. Brimble. Their work appears in journals such as Journal of Hepatology, Journal of Leukocyte Biology, Virology Journal, Frontiers in Immunology and International Journal of Molecular Sciences.
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.