Donal McHugh
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Immunology 11
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 2
- Oncology 9
- Viral-associated cancers and disorders 8
- Co-authors
- Martha B. Furie (1 shared paper)Christian Münz (13 shared papers)Nicole Caduff (8 shared papers)Ana Raykova (6 shared papers)Obinna Chijioke (4 shared papers)Cornelia Gujer (3 shared papers)Bithi Chatterjee (3 shared papers)Anita Murer (6 shared papers)
- Journals
- PLoS Pathogens (3 papers)Frontiers in Immunology (2 papers)European Journal of Immunology (2 papers)PLoS ONE (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Donal McHugh
17 papers receiving 503 citations
Peers
Comparison fields: 5 of 72
- Immunology 243
- Immunology and Allergy 57
- Oncology 234
- Pathology and Forensic Medicine 103
- Neurology 32
Countries citing papers authored by Donal McHugh
This map shows the geographic impact of Donal McHugh'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 Donal McHugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donal McHugh more than expected).
Fields of papers citing papers by Donal McHugh
This network shows the impact of papers produced by Donal McHugh. 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 Donal McHugh. The network helps show where Donal McHugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Donal McHugh, 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 | 1989 | 117 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 63 | |
| 4 | 2018 | 44 | |
| 5 | 2013 | 38 | |
| 6 | 2018 | 31 | |
| 7 | 2021 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 1 | |
| 18 | Molecular Methods for Mycobacterium tuberculosis strain typing-Users guide. J Appl Microbio 94:781-791 | 2003 | 0 |
About Donal McHugh
Donal McHugh is a scholar working on Immunology, Oncology, Epidemiology, Pathology and Forensic Medicine and Molecular Biology, having authored 18 papers that have together received 521 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Viral-associated cancers and disorders (8 papers), Cytomegalovirus and herpesvirus research (5 papers), T-cell and B-cell Immunology (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Immunology (243 citations), Immunology and Allergy (57 citations), Oncology (234 citations), Pathology and Forensic Medicine (103 citations) and Neurology (32 citations). Donal McHugh has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Martha B. Furie, Christian Münz, Nicole Caduff, Ana Raykova, Obinna Chijioke, Cornelia Gujer, Bithi Chatterjee, Anita Murer, Vanessa Landtwing and Hana Zdimerova. Their work appears in journals such as PLoS Pathogens, Frontiers in Immunology, European Journal of Immunology, PLoS ONE and The Journal of Immunology.
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.