Edward Doherty
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Macrophage Migration Inhibitory Factor
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Atherosclerosis and Cardiovascular Diseases
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Macrophage Migration Inhibitory Factor 5
- Galectins and Cancer Biology 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
-
- Nuclear Receptors and Signaling 4
- Co-authors
- András Perl (7 shared papers)Robert Hanczko (3 shared papers)Paul E. M. Phillips (3 shared papers)Pathricia V. Tilstam (2 shared papers)Richard Bucala (2 shared papers)Zachary Oaks (1 shared paper)Lisa Francis (2 shared papers)Eduardo Bonilla (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)PLoS Biology (1 paper)Expert Opinion on Therapeutic Targets (1 paper)Antioxidants and Redox Signaling (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Edward Doherty
12 papers receiving 806 citations
Peers
Comparison fields: 5 of 84
- Immunology 464
- Rheumatology 282
- Biological Psychiatry 12
- Molecular Biology 285
- Biochemistry 27
Countries citing papers authored by Edward Doherty
This map shows the geographic impact of Edward 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 Edward Doherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Doherty more than expected).
Fields of papers citing papers by Edward Doherty
This network shows the impact of papers produced by Edward 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 Edward Doherty. The network helps show where Edward Doherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 328 | |
| 2 | 2019 | 109 | |
| 3 | 2014 | 81 | |
| 4 | 2012 | 71 | |
| 5 | 2009 | 71 | |
| 6 | 2017 | 61 | |
| 7 | 2008 | 46 | |
| 8 | 2009 | 38 | |
| 9 | 2024 | 6 | |
| 10 | 2017 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2019 | 1 |
About Edward Doherty
Edward Doherty is a scholar working on Immunology, Cellular and Molecular Neuroscience, Rheumatology, Oncology and Epidemiology, having authored 12 papers that have together received 816 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (5 papers), Systemic Lupus Erythematosus Research (4 papers), Nuclear Receptors and Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Galectins and Cancer Biology (3 papers), T-cell and B-cell Immunology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (464 citations), Rheumatology (282 citations), Biological Psychiatry (12 citations), Molecular Biology (285 citations) and Biochemistry (27 citations). Edward Doherty has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include András Perl, Robert Hanczko, Paul E. M. Phillips, Pathricia V. Tilstam, Richard Bucala, Zachary Oaks, Lisa Francis, Eduardo Bonilla, Maha Dawood and Ioana L. Coman. Their work appears in journals such as The Journal of Immunology, PLoS Biology, Expert Opinion on Therapeutic Targets, Antioxidants and Redox Signaling and Journal of Clinical Investigation.
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.