Jim Leng
Impact in
- Health Informatics top 10%
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Advances in Oncology and Radiotherapy 4
- Radiation Dose and Imaging 3
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- Brain Metastases and Treatment 5
- Co-authors
- Pamela N. Münster (7 shared papers)Robin Kate Kelley (4 shared papers)Eric A. Collisson (1 shared paper)Oliver A. Zill (1 shared paper)Chloé E. Atreya (2 shared papers)Andrew H. Ko (1 shared paper)AmirAli Talasaz (2 shared papers)Andrew Hendifar (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)International Journal of Radiation Oncology*Biology*Physics (6 papers)JCO Global Oncology (2 papers)Advances in Radiation Oncology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesNigeriaBotswana
In The Last Decade
Jim Leng
20 papers receiving 424 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 21
- Cancer Research 187
- Oncology 241
- Pulmonary and Respiratory Medicine 130
- Pathology and Forensic Medicine 50
Countries citing papers authored by Jim Leng
This map shows the geographic impact of Jim Leng'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 Jim Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Leng more than expected).
Fields of papers citing papers by Jim Leng
This network shows the impact of papers produced by Jim Leng. 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 Jim Leng. The network helps show where Jim Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Leng, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2017 | 76 | |
| 3 | 2017 | 58 | |
| 4 | 2020 | 25 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2016 | 1 |
About Jim Leng
Jim Leng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Molecular Biology and Oncology, having authored 23 papers that have together received 432 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (5 papers), Glioma Diagnosis and Treatment (5 papers), Advances in Oncology and Radiotherapy (4 papers), Advanced Radiotherapy Techniques (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), PARP inhibition in cancer therapy (3 papers), Radiation Dose and Imaging (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Health Informatics (21 citations), Cancer Research (187 citations), Oncology (241 citations), Pulmonary and Respiratory Medicine (130 citations) and Pathology and Forensic Medicine (50 citations). Jim Leng has collaborated with scholars based in United States, Nigeria and Botswana. Frequent co-authors include Pamela N. Münster, Robin Kate Kelley, Eric A. Collisson, Oliver A. Zill, Chloé E. Atreya, Andrew H. Ko, AmirAli Talasaz, Andrew Hendifar, Trever G. Bivona and Claire Greene. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, JCO Global Oncology, Advances in Radiation Oncology and Clinical Cancer Research.
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.