Travis Law

3.9k citations
8 papers · 1.3k · 3 hit papers · h-index 6

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 2
    • Cancer Cells and Metastasis 1

Travis Law

8 papers receiving 1.3k citations

Hit Papers

CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours 2022 · 225 citations
2250+2+4Years since publication100200300400500

Peers

Travis Law
Comparison fields: 5 of 77
  • Biophysics 128
  • Cancer Research 311
  • Molecular Biology 994
  • Immunology 243
  • Oncology 301
Replace Zachary Chiang with:
Zachary Chiang United States
Alison Brack United States
Lindsay M. LaFave United States
Una Kjällquist Sweden
Victoria Moignard United Kingdom
Alexander Davis United States
Vaidotas Kiseliovas Lithuania
Ronan Chaligné United States
Lev Silberstein United States
Gerald Saldanha United Kingdom
Travis Law relative to Zachary Chiang United States Zachary Chiang's profile →
Citations per field
00.5×1.5×2.2×
Zachary Chiang · 1×
Citations per year

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-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.

Border = papers with Travis Law Line = papers co-authored together Travis Law links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
Hit paper breakdown →
2020579
2
Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Hit paper breakdown →
2019325
3
CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours
Hit paper breakdown →
2022225
4 2020133
5 201336
6 202125
7 20251
8 20191

About Travis Law

Travis Law is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Rheumatology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Biophysics (128 citations), Cancer Research (311 citations), Molecular Biology (994 citations), Immunology (243 citations) and Oncology (301 citations). Travis Law has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Aviv Regev, Jason D. Buenrostro, Caleb A. Lareau, Alison Brack, Sai Ma, Lindsay M. LaFave, Zachary Chiang, Vinay K. Kartha, Yan Hu and Bing Zhang. Their work appears in journals such as Cell, Cancers, Nature, Nature Neuroscience 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.

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