Fallon Lin
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 2
- Mitochondrial Function and Pathology 2
-
- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Raymond Pagliarini (7 shared papers)Alexandra Grassian (4 shared papers)Chad Vickers (3 shared papers)Christian M. Metallo (3 shared papers)Minying Pu (3 shared papers)Seth J. Parker (3 shared papers)Christopher Straub (3 shared papers)Anne N. Murphy (3 shared papers)
- Journals
- Cancer Research (2 papers)Oncotarget (1 paper)Molecular Cancer Therapeutics (1 paper)Journal of Biological Chemistry (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Fallon Lin
8 papers receiving 521 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 246
- Genetics 132
- Molecular Biology 366
- Hematology 36
- Oncology 79
Countries citing papers authored by Fallon Lin
This map shows the geographic impact of Fallon Lin'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 Fallon Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fallon Lin more than expected).
Fields of papers citing papers by Fallon Lin
This network shows the impact of papers produced by Fallon Lin. 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 Fallon Lin. The network helps show where Fallon Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fallon Lin, 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 | 2014 | 219 | |
| 2 | IDH1 Mutations Alter Citric Acid Cycle Metabolism and Increase Dependence on Oxidative Mitochondrial Metabolism | 2014 | 85 |
| 3 | 2012 | 84 | |
| 4 | 2014 | 50 | |
| 5 | 2014 | 47 | |
| 6 | 1965 | 26 | |
| 7 | 2020 | 16 | |
| 8 | 2014 | 2 |
About Fallon Lin
Fallon Lin is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 529 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Protein Degradation and Inhibitors (2 papers), Mitochondrial Function and Pathology (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Prostate Cancer Treatment and Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (246 citations), Genetics (132 citations), Molecular Biology (366 citations), Hematology (36 citations) and Oncology (79 citations). Fallon Lin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Raymond Pagliarini, Alexandra Grassian, Chad Vickers, Christian M. Metallo, Minying Pu, Seth J. Parker, Christopher Straub, Anne N. Murphy, Matthew G. Vander Heiden and Kelly L. Slocum. Their work appears in journals such as Cancer Research, Oncotarget, Molecular Cancer Therapeutics, Journal of Biological Chemistry and Oncogene.
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.