Travis E. Law

4.2k citations
14 papers · 2.6k · 2 hit papers · h-index 10

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Genomics and Diagnostics 3
    • Single-cell and spatial transcriptomics 5
    • Epigenetics and DNA Methylation 3
    • CRISPR and Genetic Engineering 2
    • RNA modifications and cancer 2
    • vaccines and immunoinformatics approaches 2
    • Congenital heart defects research 2

Travis E. Law

12 papers receiving 2.6k citations

Travis E. Law's Hit Papers

CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours 2022 · 280 citations
2800+2+4Years since publication200400600

Peers

Travis E. Law
Comparison fields: 5 of 87
  • Immunology 844
  • Oncology 768
  • Cancer Research 370
  • Molecular Biology 1.6k
  • Biophysics 135
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Travis E. Law relative to Natalie Bucheimer Collins United States Natalie Bucheimer Collins's profile →
Citations per field
00.5×1.5×
Natalie Bucheimer Collins · 1×
Citations per year

Countries citing papers authored by Travis E. Law

Since Specialization
Citations

This map shows the geographic impact of Travis E. 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 E. 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 E. Law more than expected).

Fields of papers citing papers by Travis E. Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis E. 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 E. Law. The network helps show where Travis E. Law may publish in the future.

Co-authors

The 25 scholars most cited alongside Travis E. 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 E. Law Line = papers co-authored together Travis E. Law links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
Hit paper breakdown →
2020686
2 2019384
3 2019375
4 2018361
5
CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours
Hit paper breakdown →
2022280
6 2021215
7 2020155
8 202365
9 201338
10 202128
11 20254
12 20251
13 20250
14 20260

About Travis E. Law

Travis E. Law is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Pharmaceutical Science, having authored 14 papers that have together received 2.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (2 papers), RNA modifications and cancer (2 papers), vaccines and immunoinformatics approaches (2 papers), Immunotherapy and Immune Responses (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Immunology (844 citations), Oncology (768 citations), Cancer Research (370 citations), Molecular Biology (1.6k citations) and Biophysics (135 citations). Travis E. Law has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Aviv Regev, Jason Daniel Buenrostro, Caleb A. Lareau, Alison Brack, Vinay K. Kartha, Lindsay M. LaFave, Sai Ma, Zachary Chiang, Andrew Earl and Jiarui Ding. Their work appears in journals such as Cancer Cell, Nature Biotechnology, Cell, Nature and Current Opinion in Neurobiology.

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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