Matthew Gribbin
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Statistical Methods and Bayesian Inference 3
- Statistical Methods in Clinical Trials 3
- Advanced Statistical Methods and Models 2
- Co-authors
- Keith E. MullerRobin HumphreysJoachim von PawelC. CebotaruMartin ReckNaiyer A. RizviJimmie H. HarveyD. Ross Camidge
- Journals
- Journal of Clinical Oncology (6 papers)Annals of Oncology (3 papers)Clinical Cancer Research (2 papers)Statistics in Medicine (2 papers)Clinical Lung Cancer (1 paper)
- Partner nations
- United StatesRomaniaUnited Kingdom
In The Last Decade
Matthew Gribbin
20 papers receiving 415 citations
Peers
Comparison fields: 5 of 82
- Immunology 119
- Oncology 133
- Family Practice 8
- Statistics and Probability 28
- Cancer Research 49
Countries citing papers authored by Matthew Gribbin
This map shows the geographic impact of Matthew Gribbin'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 Matthew Gribbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Gribbin more than expected).
Fields of papers citing papers by Matthew Gribbin
This network shows the impact of papers produced by Matthew Gribbin. 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 Matthew Gribbin. The network helps show where Matthew Gribbin may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Gribbin, 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 | 2020 | 63 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 0 | |
| 4 | 2018 | 38 | |
| 5 | 2018 | 20 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 39 | |
| 9 | 2015 | 7 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 81 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2009 | 24 | |
| 18 | 2006 | 12 | |
| 19 | 2005 | 28 | |
| 20 | 2005 | 30 |
About Matthew Gribbin
Matthew Gribbin is a scholar working on Statistics and Probability, Reproductive Medicine, Oncology, Immunology and Numerical Analysis, having authored 23 papers that have together received 420 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Statistical Methods and Bayesian Inference (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Hemodynamic Monitoring and Therapy (3 papers), Statistical Methods in Clinical Trials (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Immunology (119 citations), Oncology (133 citations), Family Practice (8 citations), Statistics and Probability (28 citations) and Cancer Research (49 citations). Matthew Gribbin has collaborated with scholars based in United States, Romania and United Kingdom. Frequent co-authors include Keith E. Muller, Robin Humphreys, Joachim von Pawel, C. Cebotaru, Martin Reck, Naiyer A. Rizvi, Jimmie H. Harvey, D. Ross Camidge, David R. Spigel and Norma Lynn Fox. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, Statistics in Medicine and Clinical Lung Cancer.
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.