Richard Kefford
- Oncology top 0.05%
- Cutaneous Melanoma Detection and Management 96
- Cancer Immunotherapy and Biomarkers 63
- CAR-T cell therapy research 58
- HER2/EGFR in Cancer Research 28
- Immunology top 0.5%
- Immunotherapy and Immune Responses 42
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 32
- Molecular Biology top 0.2%
- Melanoma and MAPK Pathways 158
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 26
- Co-authors
- Georgina V. LongRichard A. ScolyerJohn F. ThompsonHelen RizosAlexander M. MenziesMatteo S. CarlinoGraham J. MannLauren E. Haydu
- Cited by
- OncologyImmunologyCancer Research
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Richard Kefford
352 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Oncology 13.9k
- Immunology 4.0k
- Cancer Research 2.7k
- Molecular Biology 11.6k
- Computational Theory and Mathematics 1.6k
Countries citing papers authored by Richard Kefford
This map shows the geographic impact of Richard Kefford'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 Richard Kefford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Kefford more than expected).
Fields of papers citing papers by Richard Kefford
This network shows the impact of papers produced by Richard Kefford. 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 Richard Kefford. The network helps show where Richard Kefford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Kefford, 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 | 62 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 271 | |
| 4 | 2017 | 191 | |
| 5 | 2017 | 336 | |
| 6 | 2017 | 63 | |
| 7 | 2016 | 64 | |
| 8 | 2014 | 333 | |
| 9 | 2014 | 53 | |
| 10 | BRAF Inhibitor Resistance Mechanisms in Metastatic Melanoma: Spectrum and Clinical Impactbreakdown → | 2014 | 382 |
| 11 | 2013 | 132 | |
| 12 | Acquired Resistance and Clonal Evolution in Melanoma during BRAF Inhibitor Therapybreakdown → | 2013 | 715 |
| 13 | 2013 | 61 | |
| 14 | 2013 | 133 | |
| 15 | 2012 | 356 | |
| 16 | 2012 | 327 | |
| 17 | 2012 | 160 | |
| 18 | 2012 | 75 | |
| 19 | Selective BRAF Inhibitors Induce Marked T-cell Infiltration into Human Metastatic Melanomabreakdown → | 2011 | 507 |
| 20 | 2009 | 120 |
About Richard Kefford
Richard Kefford is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 354 papers that have together received 20.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (158 papers), Cutaneous Melanoma Detection and Management (96 papers), Cancer Immunotherapy and Biomarkers (63 papers), CAR-T cell therapy research (58 papers), Immunotherapy and Immune Responses (42 papers), Cancer Genomics and Diagnostics (32 papers), HER2/EGFR in Cancer Research (28 papers) and Computational Drug Discovery Methods (26 papers). The work is most often cited by research in Oncology (13.9k citations), Immunology (4.0k citations) and Cancer Research (2.7k citations). Richard Kefford has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Georgina V. Long, Richard A. Scolyer, John F. Thompson, Helen Rizos, Alexander M. Menzies, Matteo S. Carlino, Graham J. Mann, Lauren E. Haydu, Peter Hersey and Antoni Ribas. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.