Travis Law

3.9k total citations · 3 hit papers
8 papers, 1.3k citations indexed

About

Travis Law is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Travis Law has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Travis Law's work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and CRISPR and Genetic Engineering (2 papers). Travis Law is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and CRISPR and Genetic Engineering (2 papers). Travis Law collaborates with scholars based in United States, Hong Kong and Italy. Travis Law's co-authors include Aviv Regev, Jason D. Buenrostro, Caleb A. Lareau, Alison Brack, Vinay K. Kartha, Zachary Chiang, Sai Ma, Lindsay M. LaFave, Tristan Tay and Jiarui Ding and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Travis Law

8 papers receiving 1.3k citations

Hit Papers

Chromatin Potential Identified by Shared Single-Cell Prof... 2019 2026 2021 2023 2020 2019 2022 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Travis Law United States 6 994 311 301 243 128 8 1.3k
Zachary Chiang United States 7 1.2k 1.2× 361 1.2× 137 0.5× 164 0.7× 154 1.2× 12 1.4k
Una Kjällquist Sweden 5 861 0.9× 350 1.1× 151 0.5× 146 0.6× 88 0.7× 7 1.0k
Lindsay M. LaFave United States 8 808 0.8× 258 0.8× 161 0.5× 137 0.6× 123 1.0× 15 1.0k
Elizabeth McCarthy United States 5 564 0.6× 165 0.5× 366 1.2× 437 1.8× 75 0.6× 12 1.0k
Hye Hyeon Eum South Korea 9 839 0.8× 516 1.7× 460 1.5× 289 1.2× 67 0.5× 13 1.2k
Ronan Chaligné United States 13 656 0.7× 340 1.1× 196 0.7× 124 0.5× 37 0.3× 28 963
Yalai Bai United States 20 455 0.5× 298 1.0× 426 1.4× 284 1.2× 43 0.3× 37 1.1k
Alison Brack United States 4 903 0.9× 297 1.0× 116 0.4× 143 0.6× 127 1.0× 7 1.1k
Anuja Sathe United States 16 743 0.7× 355 1.1× 352 1.2× 267 1.1× 68 0.5× 37 1.2k
Vaidotas Kiseliovas Lithuania 7 1.0k 1.0× 390 1.3× 706 2.3× 810 3.3× 103 0.8× 11 1.8k

Countries citing papers authored by Travis Law

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Travis Law

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Law. A scholar is included among the top collaborators of Travis Law based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Travis Law. Travis Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Moore, J. Russell, et al.. (2025). MeCP2 and non-CG DNA methylation stabilize the expression of long genes that distinguish closely related neuron types. Nature Neuroscience. 28(6). 1185–1198. 1 indexed citations
2.
Larson, Rebecca C., Michael C. Kann, Stefanie R. Bailey, et al.. (2022). CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours. Nature. 604(7906). 563–570. 225 indexed citations breakdown →
3.
Qi, Zongtai, Yating Liu, Michael Mints, et al.. (2021). Single-Cell Deconvolution of Head and Neck Squamous Cell Carcinoma. Cancers. 13(6). 1230–1230. 25 indexed citations
4.
LaFave, Lindsay M., Vinay K. Kartha, Sai Ma, et al.. (2020). Epigenomic State Transitions Characterize Tumor Progression in Mouse Lung Adenocarcinoma. Cancer Cell. 38(2). 212–228.e13. 133 indexed citations
5.
Ma, Sai, Bing Zhang, Lindsay M. LaFave, et al.. (2020). Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin. Cell. 183(4). 1103–1116.e20. 579 indexed citations breakdown →
6.
Ludwig, Leif S., Caleb A. Lareau, Jacob C. Ulirsch, et al.. (2019). Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics. Cell. 176(6). 1325–1339.e22. 325 indexed citations breakdown →
7.
Ouspenskaia, Tamara, Travis Law, Karl R. Clauser, et al.. (2019). Abstract 566: Neoantigens from translated unannotated open reading frames in cancer. Immunology. 566–566. 1 indexed citations
8.
Law, Travis, Queenie Chan, Dino Samartzis, et al.. (2013). Ultrashort time‐to‐echo MRI of the cartilaginous endplate: Technique and association with intervertebral disc degeneration. Journal of Medical Imaging and Radiation Oncology. 57(4). 427–434. 36 indexed citations

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.

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