JK Litton
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 14
- PARP inhibition in cancer therapy 5
- Cancer Treatment and Pharmacology 3
- Cancer Immunotherapy and Biomarkers 2
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- Breast Cancer Treatment Studies 6
- Cancer Genomics and Diagnostics 3
- Co-authors
- Daniel J. McGrail (1 shared paper)Mustafa Khasraw (1 shared paper)Leonie Voorwerk (1 shared paper)Eric Jonasch (1 shared paper)Maarten Slagter (1 shared paper)SL Moulder (3 shared papers)Marleen Kok (1 shared paper)Renata Ferrarotto (1 shared paper)
- Journals
- Cancer Research (10 papers)Annals of Oncology (4 papers)Gynecologic Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)The Breast (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
JK Litton
16 papers receiving 767 citations
JK Litton's Hit Papers
Peers
Comparison fields: 5 of 50
- Oncology 440
- Cancer Research 175
- Immunology 165
- Pulmonary and Respiratory Medicine 204
- Genetics 31
Countries citing papers authored by JK Litton
This map shows the geographic impact of JK Litton'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 JK Litton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JK Litton more than expected).
Fields of papers citing papers by JK Litton
This network shows the impact of papers produced by JK Litton. 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 JK Litton. The network helps show where JK Litton may publish in the future.
Co-authors
The 25 scholars most cited alongside JK Litton, 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 | High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types Hit paper breakdown → | 2021 | 705 |
| 2 | 2013 | 17 | |
| 3 | 2009 | 15 | |
| 4 | 2010 | 7 | |
| 5 | 2015 | 7 | |
| 6 | 2016 | 3 | |
| 7 | 2018 | 2 | |
| 8 | 2013 | 2 | |
| 9 | 2017 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2008 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 0 | |
| 19 | 2018 | 0 | |
| 20 | 2015 | 0 |
About JK Litton
JK Litton is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 20 papers that have together received 769 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (6 papers), Advanced Breast Cancer Therapies (6 papers), Breast Cancer Treatment Studies (6 papers), PARP inhibition in cancer therapy (5 papers), DNA Repair Mechanisms (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Treatment and Pharmacology (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (440 citations), Cancer Research (175 citations), Immunology (165 citations), Pulmonary and Respiratory Medicine (204 citations) and Genetics (31 citations). JK Litton has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Daniel J. McGrail, Mustafa Khasraw, Leonie Voorwerk, Eric Jonasch, Maarten Slagter, SL Moulder, Marleen Kok, Renata Ferrarotto, Naoto T. Ueno and Bora Lim. Their work appears in journals such as Cancer Research, Annals of Oncology, Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics and The Breast.
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.