Matthew Jenner
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 82
- Multiple Myeloma Research and Treatments 80
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- Protein Degradation and Inhibitors 37
- Cancer therapeutics and mechanisms 10
- Histone Deacetylase Inhibitors Research 7
- Co-authors
- Faith E. Davies (47 shared papers)Gareth J. Morgan (44 shared papers)Brian A. Walker (9 shared papers)Fiona M. Ross (8 shared papers)Paola Leone (8 shared papers)Walter M. Gregory (25 shared papers)David González (5 shared papers)Nicholas J. Dickens (6 shared papers)
- Journals
- Blood (46 papers)British Journal of Haematology (9 papers)Journal of Clinical Oncology (4 papers)Clinical Cancer Research (2 papers)Leukemia (2 papers)
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
Matthew Jenner
83 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 81
- Hematology 1.4k
- Oncology 630
- Genetics 172
- Molecular Biology 1.1k
- Internal Medicine 31
Countries citing papers authored by Matthew Jenner
This map shows the geographic impact of Matthew Jenner'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 Jenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Jenner more than expected).
Fields of papers citing papers by Matthew Jenner
This network shows the impact of papers produced by Matthew Jenner. 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 Jenner. The network helps show where Matthew Jenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Jenner, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 265 | |
| 2 | 2006 | 146 | |
| 3 | 2007 | 100 | |
| 4 | 2008 | 96 | |
| 5 | 2010 | 85 | |
| 6 | 2008 | 80 | |
| 7 | 1976 | 64 | |
| 8 | 2019 | 64 | |
| 9 | 2020 | 58 | |
| 10 | 2023 | 57 | |
| 11 | 2020 | 52 | |
| 12 | 2010 | 47 | |
| 13 | 2005 | 46 | |
| 14 | 2022 | 45 | |
| 15 | 2013 | 41 | |
| 16 | 2020 | 41 | |
| 17 | 2007 | 40 | |
| 18 | 2006 | 33 | |
| 19 | 2020 | 30 | |
| 20 | 2006 | 30 |
About Matthew Jenner
Matthew Jenner is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (80 papers), Protein Degradation and Inhibitors (37 papers), Cancer Treatment and Pharmacology (21 papers), Peptidase Inhibition and Analysis (19 papers), Cancer therapeutics and mechanisms (10 papers), Histone Deacetylase Inhibitors Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Cancer Mechanisms and Therapy (6 papers). The work is most often cited by research in Hematology (1.4k citations), Oncology (630 citations), Genetics (172 citations), Molecular Biology (1.1k citations) and Internal Medicine (31 citations). Matthew Jenner has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Faith E. Davies, Gareth J. Morgan, Brian A. Walker, Fiona M. Ross, Paola Leone, Walter M. Gregory, David González, Nicholas J. Dickens, David C. Johnson and Kevin Boyd. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Clinical Cancer Research and Leukemia.
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.