Timothy A. Chan

111.7k citations
243 papers · 22.7k indexed · 16 hit papers · h-index 77

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 69
    • Lung Cancer Research Studies 22
    • Glioma Diagnosis and Treatment 44

Timothy A. Chan

229 papers receiving 22.4k citations

Hit Papers

The hallmarks of cancer immune evasion 2024 · 186 citations
186199820262007201650010001.5k

Peers

Timothy A. Chan
Comparison fields: 5 of 163
  • Oncology 10.4k
  • Cancer Research 5.2k
  • Genetics 2.7k
  • Immunology 4.5k
  • Pulmonary and Respiratory Medicine 5.5k
Replace Ravi Salgia with:
Ravi Salgia United States
Masakazu Toi Japan
David S. Hong United States
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Jean‐Charles Soria France
Giampaolo Tortora Italy
John V. Heymach United States
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Timothy A. Chan relative to Ravi Salgia United States Ravi Salgia's profile →
Citations per field
00.5×1.6×
Ravi Salgia · 1×
Citations per year

Countries citing papers authored by Timothy A. Chan

Since Specialization
Citations

This map shows the geographic impact of Timothy A. Chan'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 Timothy A. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy A. Chan more than expected).

Fields of papers citing papers by Timothy A. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy A. Chan. 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 Timothy A. Chan. The network helps show where Timothy A. Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20232
3 202210
4 20214
5 202079
6 2019156
7 201731
8 2017143
9 201794
10 201743
11 201623
12 201696
13 2016135
14 20141
15 2013337
16 2012114
17 2012122
18
Genome Sequencing Identifies a Basis for Everolimus Sensitivity
Hit paper breakdown →
2012480
19 201027
20 2002108

About Timothy A. Chan

Timothy A. Chan is a scholar working on Oncology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 243 papers that have together received 22.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (69 papers), Glioma Diagnosis and Treatment (44 papers), Brain Metastases and Treatment (37 papers), Cancer Genomics and Diagnostics (35 papers), Immunotherapy and Immune Responses (33 papers), Lung Cancer Research Studies (22 papers), Renal cell carcinoma treatment (19 papers) and Lung Cancer Treatments and Mutations (18 papers). The work is most often cited by research in Oncology (10.4k citations), Cancer Research (5.2k citations), Genetics (2.7k citations), Immunology (4.5k citations) and Pulmonary and Respiratory Medicine (5.5k citations). Timothy A. Chan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jonathan J. Havel, Diego Chowell, Kenneth W. Kinzler, Bert Vogelstein, Luc G.T. Morris, Nadeem Riaz, Sergio A. Quezada, Albrecht Stenzinger, Charles Swanton and Solange Peters. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Clinical Cancer Research, Oncotarget and Cancer Research.

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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