Mark R. Wakefield
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Family Practice top 2%
Papers in
- Oncology 35
- Cancer Immunotherapy and Biomarkers 16
- Cytokine Signaling Pathways and Interactions 7
- CAR-T cell therapy research 5
- Immunology 32
- Immunotherapy and Immune Responses 15
- Immune Cell Function and Interaction 9
- Co-authors
- Yujiang Fang (57 shared papers)Ziwen Zhu (40 shared papers)Qian Bai (42 shared papers)Huaping Xiao (26 shared papers)Jeffrey P. Harrison (1 shared paper)M. Nicholas Coppola (1 shared paper)Cynthia L. Russell (6 shared papers)Richard Madsen (4 shared papers)
- Journals
- Medical Oncology (22 papers)Anticancer Research (14 papers)Cancers (8 papers)Clinical Transplantation (5 papers)Pathology & Oncology Research (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mark R. Wakefield
97 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 130
- Transplantation 170
- Family Practice 72
- Immunology 448
- Oncology 393
- Cancer Research 115
Countries citing papers authored by Mark R. Wakefield
This map shows the geographic impact of Mark R. Wakefield'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 R. Wakefield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Wakefield more than expected).
Fields of papers citing papers by Mark R. Wakefield
This network shows the impact of papers produced by Mark R. Wakefield. 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 R. Wakefield. The network helps show where Mark R. Wakefield may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark R. Wakefield, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 368 | |
| 2 | 2007 | 119 | |
| 3 | 2017 | 100 | |
| 4 | 2016 | 98 | |
| 5 | 2004 | 91 | |
| 6 | 2010 | 69 | |
| 7 | 2010 | 38 | |
| 8 | 1967 | 36 | |
| 9 | Findings from the New Zealand Numeracy Development Projects 2005 | 2005 | 34 |
| 10 | 2019 | 33 | |
| 11 | 2016 | 33 | |
| 12 | 2013 | 32 | |
| 13 | 2016 | 32 | |
| 14 | 2016 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2007 | 21 | |
| 20 | 2018 | 21 |
About Mark R. Wakefield
Mark R. Wakefield is a scholar working on Oncology, Immunology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (9 papers), Bladder and Urothelial Cancer Treatments (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Renal Transplantation Outcomes and Treatments (7 papers), Medication Adherence and Compliance (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Transplantation (170 citations), Family Practice (72 citations), Immunology (448 citations), Oncology (393 citations) and Cancer Research (115 citations). Mark R. Wakefield has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yujiang Fang, Ziwen Zhu, Qian Bai, Huaping Xiao, Jeffrey P. Harrison, M. Nicholas Coppola, Cynthia L. Russell, Richard Madsen, Jack T. Lin and Vicki S. Conn. Their work appears in journals such as Medical Oncology, Anticancer Research, Cancers, Clinical Transplantation and Pathology & Oncology 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.