Mark Tuthill
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
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- Renal cell carcinoma treatment 4
- Sarcoma Diagnosis and Treatment 2
- Co-authors
- Eleftheria Hatzimichael (2 shared papers)Andrew Protheroe (7 shared papers)Eliana MC Tacconi (1 shared paper)Jenny King (1 shared paper)Tim Crook (1 shared paper)Andrew Webb (1 shared paper)Hugo De La Peña (2 shared papers)Elena Collantes (1 shared paper)
- Journals
- Annals of Oncology (4 papers)Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Cancer Immunology Research (1 paper)The Oncologist (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Mark Tuthill
18 papers receiving 343 citations
Peers
Comparison fields: 5 of 59
- Hematology 71
- Oncology 110
- Genetics 43
- Pathology and Forensic Medicine 41
- Immunology 48
Countries citing papers authored by Mark Tuthill
This map shows the geographic impact of Mark Tuthill'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 Mark Tuthill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Tuthill more than expected).
Fields of papers citing papers by Mark Tuthill
This network shows the impact of papers produced by Mark Tuthill. 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 Mark Tuthill. The network helps show where Mark Tuthill may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Tuthill, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2020 | 59 | |
| 3 | 2009 | 35 | |
| 4 | 2000 | 32 | |
| 5 | 2020 | 24 | |
| 6 | 2008 | 23 | |
| 7 | 2017 | 16 | |
| 8 | 2009 | 15 | |
| 9 | 2009 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 4 | |
| 14 | Automating anatomic pathology. Implementing an AP solution that integrates with your hospital's LIS can improve workflow and productivity. | 2008 | 3 |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Mark Tuthill
Mark Tuthill is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Cancer Research, having authored 22 papers that have together received 351 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immunotherapy and Immune Responses (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (71 citations), Oncology (110 citations), Genetics (43 citations), Pathology and Forensic Medicine (41 citations) and Immunology (48 citations). Mark Tuthill has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Eleftheria Hatzimichael, Andrew Protheroe, Eliana MC Tacconi, Jenny King, Tim Crook, Andrew Webb, Hugo De La Peña, Elena Collantes, Anna Olsson‐Brown and Meenali Chitnis. Their work appears in journals such as Annals of Oncology, Cancer Research, Journal of Clinical Oncology, Cancer Immunology Research and The Oncologist.
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.