Ann Lin
Impact in
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- Computational Drug Discovery Methods
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 3
- Cancer-related Molecular Pathways 3
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- CRISPR and Genetic Engineering 3
- Receptor Mechanisms and Signaling 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Jason M. Sheltzer (5 shared papers)Christopher J. Giuliano (4 shared papers)Ann C. Palladino (2 shared papers)Erin L. Sausville (1 shared paper)Alexander R. Chait (1 shared paper)Kristen M. John (1 shared paper)Clara C. Tucker (1 shared paper)Nicole M. Sayles (1 shared paper)
- Journals
- eLife (2 papers)Nature Reviews Genetics (1 paper)Science Translational Medicine (1 paper)Current Protocols in Molecular Biology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesNew ZealandNorway
In The Last Decade
Ann Lin
8 papers receiving 923 citations
Ann Lin's Hit Papers
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 149
- Cancer Research 94
- Molecular Biology 397
- Oncology 114
- Biomaterials 46
Countries citing papers authored by Ann Lin
This map shows the geographic impact of Ann 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 Ann Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Lin more than expected).
Fields of papers citing papers by Ann Lin
This network shows the impact of papers produced by Ann 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 Ann Lin. The network helps show where Ann Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann 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 | Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials Hit paper breakdown → | 2019 | 562 |
| 2 | 2017 | 115 | |
| 3 | 2019 | 87 | |
| 4 | 2018 | 68 | |
| 5 | 2019 | 61 | |
| 6 | 2020 | 46 | |
| 7 | 2024 | 14 | |
| 8 | 2025 | 1 |
About Ann Lin
Ann Lin is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Computational Theory and Mathematics, having authored 8 papers that have together received 954 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), CRISPR and Genetic Engineering (3 papers), Receptor Mechanisms and Signaling (1 paper), Epigenetics and DNA Methylation (1 paper), Plant Molecular Biology Research (1 paper), Microtubule and mitosis dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Cancer Research (94 citations), Molecular Biology (397 citations), Oncology (114 citations) and Biomaterials (46 citations). Ann Lin has collaborated with scholars based in United States, New Zealand and Norway. Frequent co-authors include Jason M. Sheltzer, Christopher J. Giuliano, Ann C. Palladino, Erin L. Sausville, Alexander R. Chait, Kristen M. John, Clara C. Tucker, Nicole M. Sayles, Vishruth Girish and Joan C. Smith. Their work appears in journals such as eLife, Nature Reviews Genetics, Science Translational Medicine, Current Protocols in Molecular Biology and Nature Structural & Molecular Biology.
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.