Robert J. Torphy

2.1k citations
56 papers · 1.7k · h-index 22

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cutaneous Melanoma Detection and Management
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Pancreatic and Hepatic Oncology Research 24
    • Cancer Immunotherapy and Biomarkers 7
    • Cutaneous Melanoma Detection and Management 6
    • Cancer Cells and Metastasis 2
    • Cancer Genomics and Diagnostics 3

Robert J. Torphy

54 papers receiving 1.6k citations

Peers

Robert J. Torphy
Comparison fields: 5 of 90
  • Oncology 898
  • Biochemistry 71
  • Cancer Research 112
  • Immunology 118
  • Biomedical Engineering 161
Replace Kentaro Miyake with:
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Robert J. Torphy relative to Kentaro Miyake Japan Kentaro Miyake's profile →
Citations per field
00.5×2×2.9×
Kentaro Miyake · 1×
Citations per year

Countries citing papers authored by Robert J. Torphy

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Torphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Torphy. 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 Robert J. Torphy. The network helps show where Robert J. Torphy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2018136
3 2018130
4 2021119
5 2011106
6 2020103
7 201399
8 201788
9 201880
10 201377
11 201451
12 201941
13 202040
14 202233
15 202229
16 201826
17 201925
18 201924
19 202124
20 201823

About Robert J. Torphy

Robert J. Torphy is a scholar working on Oncology, Cancer Research, Immunology, Surgery and Biochemistry, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (24 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cutaneous Melanoma Detection and Management (6 papers), Esophageal Cancer Research and Treatment (4 papers), T-cell and B-cell Immunology (3 papers), Cancer Genomics and Diagnostics (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (898 citations), Biochemistry (71 citations), Cancer Research (112 citations), Immunology (118 citations) and Biomedical Engineering (161 citations). Robert J. Torphy has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Richard David Schulick, Yuwen Zhu, Yuki Fujiwara, Jen Jen Yeh, Ana Gleisner, Barish H. Edil, Steven A. Soper, Chloe Friedman, Joyce W. Kamande and Martin D. McCarter. Their work appears in journals such as Annals of Surgical Oncology, Annals of Surgery, Nature Communications, Journal of Surgical Oncology and Journal of Clinical Investigation.

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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