Martin McLaughlin
Impact in
Papers in
-
- DNA Repair Mechanisms 4
- Cell death mechanisms and regulation 3
- Oncology 12
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Kevin J. Harrington (25 shared papers)Malin Pedersen (11 shared papers)Magnus T. Dillon (9 shared papers)Alan Melcher (15 shared papers)Emmanuel C. Patin (5 shared papers)Anna Wilkins (3 shared papers)Brendan Gilmore (5 shared papers)Sean P. Gorman (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (3 papers)Radiotherapy and Oncology (3 papers)Gene Therapy (2 papers)Green Chemistry (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Martin McLaughlin
36 papers receiving 2.1k citations
Martin McLaughlin's Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 744
- Catalysis 168
- Immunology 438
- Microbiology 105
- Biotechnology 102
Countries citing papers authored by Martin McLaughlin
This map shows the geographic impact of Martin McLaughlin'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 Martin McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin McLaughlin more than expected).
Fields of papers citing papers by Martin McLaughlin
This network shows the impact of papers produced by Martin McLaughlin. 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 Martin McLaughlin. The network helps show where Martin McLaughlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin McLaughlin, 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 | Inflammatory microenvironment remodelling by tumour cells after radiotherapy Hit paper breakdown → | 2020 | 630 |
| 2 | 2019 | 150 | |
| 3 | 2010 | 138 | |
| 4 | 2001 | 118 | |
| 5 | 2010 | 112 | |
| 6 | 2016 | 85 | |
| 7 | 2010 | 62 | |
| 8 | 2014 | 56 | |
| 9 | 2020 | 52 | |
| 10 | 2012 | 49 | |
| 11 | 2016 | 47 | |
| 12 | 2012 | 47 | |
| 13 | 2012 | 45 | |
| 14 | 2011 | 42 | |
| 15 | 2016 | 41 | |
| 16 | 2018 | 41 | |
| 17 | 2013 | 40 | |
| 18 | 2015 | 38 | |
| 19 | 2013 | 34 | |
| 20 | 2012 | 31 |
About Martin McLaughlin
Martin McLaughlin is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Organic Chemistry, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), CAR-T cell therapy research (5 papers), DNA Repair Mechanisms (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (3 papers), interferon and immune responses (3 papers) and Down syndrome and intellectual disability research (3 papers). The work is most often cited by research in Oncology (744 citations), Catalysis (168 citations), Immunology (438 citations), Microbiology (105 citations) and Biotechnology (102 citations). Martin McLaughlin has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Kevin J. Harrington, Malin Pedersen, Magnus T. Dillon, Alan Melcher, Emmanuel C. Patin, Anna Wilkins, Brendan Gilmore, Sean P. Gorman, Joan Kyula and Garry Laverty. Their work appears in journals such as Molecular Cancer Therapeutics, Radiotherapy and Oncology, Gene Therapy, Green Chemistry and Clinical 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.