Travis Law
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 4
- Epigenetics and DNA Methylation 2
- Congenital heart defects research 2
- CRISPR and Genetic Engineering 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Oncology 3
- Co-authors
- Aviv Regev (5 shared papers)Caleb A. Lareau (3 shared papers)Jason D. Buenrostro (3 shared papers)Alison Brack (3 shared papers)Vinay K. Kartha (2 shared papers)Zachary Chiang (2 shared papers)Sai Ma (2 shared papers)Lindsay M. LaFave (2 shared papers)
- Journals
- Cell (2 papers)Cancers (1 paper)Nature Neuroscience (1 paper)Nature (1 paper)Immunology (1 paper)
- Partner nations
- United StatesHong KongFinland
In The Last Decade
Travis Law
8 papers receiving 1.4k citations
Travis Law's Hit Papers
Peers
Comparison fields: 5 of 75
- Biophysics 122
- Cancer Research 286
- Molecular Biology 998
- Oncology 296
- Immunology 235
Countries citing papers authored by Travis Law
This map shows the geographic impact of Travis Law'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 Travis Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Law more than expected).
Fields of papers citing papers by Travis Law
This network shows the impact of papers produced by Travis Law. 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 Travis Law. The network helps show where Travis Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Law, 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 | Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin Hit paper breakdown → | 2020 | 621 |
| 2 | Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics Hit paper breakdown → | 2019 | 339 |
| 3 | CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours Hit paper breakdown → | 2022 | 232 |
| 4 | 2020 | 136 | |
| 5 | 2013 | 36 | |
| 6 | 2021 | 26 | |
| 7 | 2025 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2025 | 0 |
About Travis Law
Travis Law is a scholar working on Molecular Biology, Oncology, Cancer Research, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers), Congenital heart defects research (2 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Biophysics (122 citations), Cancer Research (286 citations), Molecular Biology (998 citations), Oncology (296 citations) and Immunology (235 citations). Travis Law has collaborated with scholars based in United States, Hong Kong and Finland. Frequent co-authors include Aviv Regev, Caleb A. Lareau, Jason D. Buenrostro, Alison Brack, Vinay K. Kartha, Zachary Chiang, Sai Ma, Lindsay M. LaFave, Ya‐Chieh Hsu and Andrew Earl. Their work appears in journals such as Cell, Cancers, Nature Neuroscience, Nature and Immunology.
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.