Gerald Li
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Cancer Genomics and Diagnostics 21
- Oncology 18
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- Ryon P. Graf (29 shared papers)Geoffrey R. Oxnard (17 shared papers)Emily Castellanos (6 shared papers)Tamara Snow (3 shared papers)Yang Li (1 shared paper)Mengyue Niu (1 shared paper)Lin Zhou (1 shared paper)Jianjun Liu (1 shared paper)
- Journals
- Journal of Clinical Oncology (11 papers)Clinical Cancer Research (6 papers)JCO Precision Oncology (3 papers)JAMA Network Open (3 papers)Journal for ImmunoTherapy of Cancer (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Gerald Li
41 papers receiving 887 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 266
- Oncology 235
- Pulmonary and Respiratory Medicine 222
- Neurology 76
- Health Informatics 7
Countries citing papers authored by Gerald Li
This map shows the geographic impact of Gerald Li'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 Gerald Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Li more than expected).
Fields of papers citing papers by Gerald Li
This network shows the impact of papers produced by Gerald Li. 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 Gerald Li. The network helps show where Gerald Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerald Li, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2022 | 117 | |
| 3 | 2020 | 106 | |
| 4 | 2017 | 83 | |
| 5 | 2018 | 80 | |
| 6 | 2022 | 44 | |
| 7 | 2023 | 37 | |
| 8 | 2023 | 31 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2012 | 9 | |
| 20 | 2012 | 9 |
About Gerald Li
Gerald Li is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 892 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (21 papers), Cancer Immunotherapy and Biomarkers (10 papers), Prostate Cancer Treatment and Research (7 papers), Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Genetic factors in colorectal cancer (4 papers), Advanced Breast Cancer Therapies (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Cancer Research (266 citations), Oncology (235 citations), Pulmonary and Respiratory Medicine (222 citations), Neurology (76 citations) and Health Informatics (7 citations). Gerald Li has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ryon P. Graf, Geoffrey R. Oxnard, Emily Castellanos, Tamara Snow, Yang Li, Mengyue Niu, Lin Zhou, Jianjun Liu, Ming Yao and Wenyan Kang. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, JCO Precision Oncology, JAMA Network Open and Journal for ImmunoTherapy 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.