Jonathan Lim
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Ferroptosis and cancer prognosis
Papers in
- Oncology 5
- Cancer-related Molecular Pathways 2
- PARP inhibition in cancer therapy 2
- Co-authors
- Gabriel Leprivier (6 shared papers)Silvia von Karstedt (2 shared papers)Poul H. Sorensen (4 shared papers)Alberto Delaidelli (3 shared papers)Gian Luca Negri (2 shared papers)Sean W. Minaker (1 shared paper)Hua Yang (1 shared paper)William W. Lockwood (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)Cell Death and Differentiation (2 papers)JCO Oncology Practice (1 paper)Proceedings of the National Academy of Sciences (1 paper)International Journal of Gynecological Cancer (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Jonathan Lim
9 papers receiving 467 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 204
- Pulmonary and Respiratory Medicine 223
- Biochemistry 43
- Molecular Biology 315
- Aging 4
Countries citing papers authored by Jonathan Lim
This map shows the geographic impact of Jonathan Lim'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 Jonathan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lim more than expected).
Fields of papers citing papers by Jonathan Lim
This network shows the impact of papers produced by Jonathan Lim. 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 Jonathan Lim. The network helps show where Jonathan Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Lim, 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 | 2019 | 256 | |
| 2 | 2022 | 91 | |
| 3 | 2019 | 76 | |
| 4 | 2017 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2024 | 5 | |
| 7 | 2018 | 2 | |
| 8 | The Impact of COVID-19 on Wellbeing and Work Ability in the NHS Oncology Workforce: Initial Results of the COVID-NOW Study | 2020 | 1 |
| 9 | 2019 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2020 | 0 | |
| 12 | 2023 | 0 |
About Jonathan Lim
Jonathan Lim is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 12 papers that have together received 469 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (2 papers), PARP inhibition in cancer therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Patient Satisfaction in Healthcare (1 paper) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Cancer Research (204 citations), Pulmonary and Respiratory Medicine (223 citations), Biochemistry (43 citations), Molecular Biology (315 citations) and Aging (4 citations). Jonathan Lim has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Gabriel Leprivier, Silvia von Karstedt, Poul H. Sorensen, Alberto Delaidelli, Gian Luca Negri, Sean W. Minaker, Hua Yang, William W. Lockwood, Paul Schaffer and Haifeng Zhang. Their work appears in journals such as Cell Death and Disease, Cell Death and Differentiation, JCO Oncology Practice, Proceedings of the National Academy of Sciences and International Journal of Gynecological 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.