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
- HER2/EGFR in Cancer Research 2
-
- Advanced Breast Cancer Therapies 6
- Co-authors
- JT Chang (1 shared paper)Bora Lim (3 shared papers)Mustafa Khasraw (1 shared paper)Naoto T. Ueno (5 shared papers)Marleen Kok (1 shared paper)Eric Jonasch (1 shared paper)Daniel J. McGrail (1 shared paper)Renata Ferrarotto (1 shared paper)
- Journals
- Cancer Research (10 papers)Annals of Oncology (4 papers)Gynecologic Oncology (1 paper)The Breast (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
JK Litton
16 papers receiving 732 citations
JK Litton's Hit Papers
Peers
Comparison fields: 5 of 53
- Oncology 536
- Cancer Research 238
- Immunology 198
- Pulmonary and Respiratory Medicine 295
- Pathology and Forensic Medicine 63
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 | 672 |
| 2 | 2013 | 17 | |
| 3 | 2009 | 14 | |
| 4 | 2010 | 7 | |
| 5 | 2015 | 7 | |
| 6 | 2016 | 2 | |
| 7 | 2018 | 2 | |
| 8 | 2013 | 2 | |
| 9 | 2015 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2014 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 0 | |
| 18 | 2017 | 0 | |
| 19 | 2015 | 0 |
About JK Litton
JK Litton is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Molecular Biology, having authored 19 papers that have together received 733 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (6 papers), BRCA gene mutations in cancer (6 papers), Breast Cancer Treatment Studies (5 papers), PARP inhibition in cancer therapy (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Treatment and Pharmacology (3 papers), DNA Repair Mechanisms (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (536 citations), Cancer Research (238 citations), Immunology (198 citations), Pulmonary and Respiratory Medicine (295 citations) and Pathology and Forensic Medicine (63 citations). JK Litton has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include JT Chang, Bora Lim, Mustafa Khasraw, Naoto T. Ueno, Marleen Kok, Eric Jonasch, Daniel J. McGrail, Renata Ferrarotto, Maarten Slagter and S.-Y. Lin. Their work appears in journals such as Cancer Research, Annals of Oncology, Gynecologic Oncology, The Breast and European Journal of Cancer.
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.