Robert J. Davidson
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Hematology top 10%
- Hemophilia Treatment and Research
Papers in
-
- Hemophilia Treatment and Research 5
- Blood Coagulation and Thrombosis Mechanisms 3
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Katherine A. High (4 shared papers)Xavier M. Anguela (4 shared papers)Armida Faella (2 shared papers)Alex Tai (2 shared papers)Etiena Basner‐Tschakarjan (2 shared papers)J. Fraser Wright (2 shared papers)Shangzhen Zhou (2 shared papers)Gregory M. Podsakoff (2 shared papers)
- Journals
- Blood (4 papers)Journal of Homosexuality (1 paper)Acta Haematologica (1 paper)Mobilization An International Quarterly (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Robert J. Davidson
21 papers receiving 570 citations
Peers
Comparison fields: 5 of 90
- Genetics 280
- Hematology 80
- Oncology 133
- Molecular Biology 265
- Internal Medicine 12
Countries citing papers authored by Robert J. Davidson
This map shows the geographic impact of Robert J. Davidson'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 Robert J. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Davidson more than expected).
Fields of papers citing papers by Robert J. Davidson
This network shows the impact of papers produced by Robert J. Davidson. 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 Robert J. Davidson. The network helps show where Robert J. Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Davidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 279 | |
| 2 | 2011 | 58 | |
| 3 | 2007 | 51 | |
| 4 | 2016 | 43 | |
| 5 | 2016 | 34 | |
| 6 | 1984 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2016 | 20 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 9 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2015 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2015 | 1 |
About Robert J. Davidson
Robert J. Davidson is a scholar working on Hematology, Genetics, Strategy and Management, Oncology and Molecular Biology, having authored 23 papers that have together received 588 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (5 papers), Virus-based gene therapy research (5 papers), Political Influence and Corporate Strategies (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Psychological Well-being and Life Satisfaction (2 papers), Parvovirus B19 Infection Studies (2 papers), CAR-T cell therapy research (2 papers) and Gender Politics and Representation (2 papers). The work is most often cited by research in Genetics (280 citations), Hematology (80 citations), Oncology (133 citations), Molecular Biology (265 citations) and Internal Medicine (12 citations). Robert J. Davidson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Katherine A. High, Xavier M. Anguela, Armida Faella, Alex Tai, Etiena Basner‐Tschakarjan, J. Fraser Wright, Shangzhen Zhou, Gregory M. Podsakoff, Christian Hinderer and Giulia Pavani. Their work appears in journals such as Blood, Journal of Homosexuality, Acta Haematologica, Mobilization An International Quarterly and Cancer Research.
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.