John Jakob
Impact in
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Melanoma and MAPK Pathways
Papers in
- Oncology 6
- Cutaneous Melanoma Detection and Management 3
- CAR-T cell therapy research 2
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- Melanoma and MAPK Pathways 3
- Co-authors
- Michael A. Davies (5 shared papers)Patrick Hwu (3 shared papers)Alexander J. Lazar (3 shared papers)Roland L. Bassett (3 shared papers)Jeffrey E. Gershenwald (2 shared papers)Kevin B. Kim (2 shared papers)Jonathan L. Curry (2 shared papers)Gladys Alvarado (2 shared papers)
- Journals
- Cancer (2 papers)Journal of Clinical Oncology (2 papers)Journal of Neuro-Oncology (1 paper)Journal of NeuroVirology (1 paper)Reproduction in Domestic Animals (1 paper)
- Partner nations
- United StatesAustraliaCzechia
In The Last Decade
John Jakob
13 papers receiving 802 citations
John Jakob's Hit Papers
Peers
Comparison fields: 5 of 55
- Oncology 557
- Molecular Biology 536
- Computational Theory and Mathematics 90
- Cancer Research 82
- Immunology 111
Countries citing papers authored by John Jakob
This map shows the geographic impact of John Jakob'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 John Jakob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jakob more than expected).
Fields of papers citing papers by John Jakob
This network shows the impact of papers produced by John Jakob. 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 John Jakob. The network helps show where John Jakob may publish in the future.
Co-authors
The 25 scholars most cited alongside John Jakob, 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 | NRAS mutation status is an independent prognostic factor in metastatic melanoma Hit paper breakdown → | 2011 | 528 |
| 2 | 2014 | 90 | |
| 3 | 2013 | 83 | |
| 4 | 1996 | 26 | |
| 5 | 2017 | 18 | |
| 6 | 2012 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 2005 | 9 | |
| 9 | 1996 | 9 | |
| 10 | 2009 | 8 | |
| 11 | 2012 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 1977 | 1 |
About John Jakob
John Jakob is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 808 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (3 papers), Melanoma and MAPK Pathways (3 papers), Computational Drug Discovery Methods (2 papers), Lung Cancer Treatments and Mutations (2 papers), Plant Virus Research Studies (2 papers), CAR-T cell therapy research (2 papers), Viral Infections and Immunology Research (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Oncology (557 citations), Molecular Biology (536 citations), Computational Theory and Mathematics (90 citations), Cancer Research (82 citations) and Immunology (111 citations). John Jakob has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Michael A. Davies, Patrick Hwu, Alexander J. Lazar, Roland L. Bassett, Jeffrey E. Gershenwald, Kevin B. Kim, Jonathan L. Curry, Gladys Alvarado, Michelle Rohlfs and Richard W. Joseph. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Journal of Neuro-Oncology, Journal of NeuroVirology and Reproduction in Domestic Animals.
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.