Phil F. Cheng

5.2k citations
96 papers · 2.9k indexed · h-index 29
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers 21
    • Cutaneous Melanoma Detection and Management 18
    • CAR-T cell therapy research 17
    • Cancer Cells and Metastasis 6
  • Immunology top 5%
    • Immunotherapy and Immune Responses 17
    • Cancer Genomics and Diagnostics 6
    • Melanoma and MAPK Pathways 38
    • Epigenetics and DNA Methylation 6

Phil F. Cheng

93 papers receiving 2.9k citations

Peers

Phil F. Cheng
Comparison fields: 5 of 122
  • Oncology 1.3k
  • Immunology 827
  • Cancer Research 433
  • Molecular Biology 1.6k
  • Dermatology 193
Replace Michael Hölzel with:
Michael Hölzel Germany
Antonella Bacchiocchi United States
Eiji Sugihara Japan
Jean‐Baptiste Telliez United States
Lyn M. Duncan United States
Jan Jacob Schuringa Netherlands
Simona Osella‐Abate Italy
Burkhard Helmke Germany
Svetlana Sadekova United States
Jean‐François Baurain Belgium
Phil F. Cheng relative to Michael Hölzel Germany Michael Hölzel's profile →
Citations per field
00.5×1.5×
Michael Hölzel · 1×
Citations per year

Countries citing papers authored by Phil F. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Phil F. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil F. Cheng. 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 Phil F. Cheng. The network helps show where Phil F. Cheng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 202332
4 202311
5 20235
6 20230
7 20226
8 202121
9 202124
10 20213
11 202111
12 202028
13 202013
14 201937
15 201911
16 201861
17 201869
18 2018100
19 2017297
20 201535

About Phil F. Cheng

Phil F. Cheng is a scholar working on Oncology, Dermatology and Immunology, having authored 96 papers that have together received 2.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (38 papers), Cancer Immunotherapy and Biomarkers (21 papers), Cutaneous Melanoma Detection and Management (18 papers), Immunotherapy and Immune Responses (17 papers), CAR-T cell therapy research (17 papers), Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (827 citations) and Cancer Research (433 citations). Phil F. Cheng has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Mitchell P. Levesque, Reinhard Dummer, Lukas Sommer, Daniel Widmer, Ossia M. Eichhoff, Marieke I.G. Raaijmakers, Daniel Zingg, Raffaella Santoro, Keith S. Hoek and Holger Moch. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

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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