Robert Doherty
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Galectins and Cancer Biology 3
- Immune Cell Function and Interaction 3
-
- Diverse Education Studies and Reforms 2
- Co-authors
- María G. Castro (13 shared papers)Pedro R. Löwenstein (13 shared papers)Padma Kadiyala (5 shared papers)Jason V. Gregory (1 shared paper)Melissa Cadena (1 shared paper)Joerg Lahann (1 shared paper)Erkki Ruoslahti (1 shared paper)Minzhi Yu (1 shared paper)
- Journals
- Industrial and Labor Relations Review (8 papers)Neuro-Oncology (3 papers)Oncotarget (2 papers)Clinical Cancer Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Doherty
32 papers receiving 744 citations
Peers
Comparison fields: 5 of 130
- Genetics 164
- Biomaterials 161
- Immunology 205
- Public Administration 23
- Oncology 148
Countries citing papers authored by Robert Doherty
This map shows the geographic impact of Robert Doherty'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 Doherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Doherty more than expected).
Fields of papers citing papers by Robert Doherty
This network shows the impact of papers produced by Robert Doherty. 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 Doherty. The network helps show where Robert Doherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Doherty, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2019 | 185 | |
| 3 | 2014 | 61 | |
| 4 | 2016 | 48 | |
| 5 | 1965 | 41 | |
| 6 | 2016 | 38 | |
| 7 | 2014 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2017 | 22 | |
| 10 | 1976 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 1993 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 1975 | 10 | |
| 15 | 1982 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 1996 | 8 | |
| 18 | 1991 | 6 | |
| 19 | 2006 | 6 | |
| 20 | 2014 | 5 |
About Robert Doherty
Robert Doherty is a scholar working on Immunology, Education, Oncology, Genetics and Molecular Biology, having authored 38 papers that have together received 782 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Galectins and Cancer Biology (3 papers), Immune Cell Function and Interaction (3 papers), Labor Movements and Unions (3 papers), Nanoplatforms for cancer theranostics (2 papers), Diverse Education Studies and Reforms (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Genetics (164 citations), Biomaterials (161 citations), Immunology (205 citations), Public Administration (23 citations) and Oncology (148 citations). Robert Doherty has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include María G. Castro, Pedro R. Löwenstein, Padma Kadiyala, Jason V. Gregory, Melissa Cadena, Joerg Lahann, Erkki Ruoslahti, Minzhi Yu, Rui Kuai and David Altshuler. Their work appears in journals such as Industrial and Labor Relations Review, Neuro-Oncology, Oncotarget, Clinical Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.