Toby C. Cornish

14.9k citations
76 papers · 3.6k · h-index 30

Impact in

  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Toby C. Cornish

74 papers receiving 3.6k citations

Peers

Toby C. Cornish
Comparison fields: 5 of 136
  • Oncology 1.1k
  • Cancer Research 611
  • Hepatology 164
  • Immunology 416
  • Pulmonary and Respiratory Medicine 584
Replace Shumpei Ishikawa with:
Shumpei Ishikawa Japan
Elaine W. Kay Ireland
Marco Novelli United Kingdom
Marco Novelli United Kingdom
Ben Vainer Denmark
Thomas Knösel Germany
Arief A. Suriawinata United States
Mohammad Ilyas United Kingdom
Wilfried Roth Germany
Sang Yong Song South Korea
Toby C. Cornish relative to Shumpei Ishikawa Japan Shumpei Ishikawa's profile →
Citations per field
00.5×1.6×
Shumpei Ishikawa · 1×
Citations per year

Countries citing papers authored by Toby C. Cornish

Since Specialization
Citations

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

Fields of papers citing papers by Toby C. Cornish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby C. Cornish. 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 Toby C. Cornish. The network helps show where Toby C. Cornish may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016365
2 2008320
3 2015274
4 2008218
5 2014157
6 2012145
7 2013129
8 2014125
9 2013119
10 2018114
11 2017110
12 2011100
13 201695
14 201491
15 201290
16 202280
17 201070
18 201568
19 201565
20 201760

About Toby C. Cornish

Toby C. Cornish is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 3.6k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cell Image Analysis Techniques (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Genomics and Diagnostics (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (611 citations), Hepatology (164 citations), Immunology (416 citations) and Pulmonary and Respiratory Medicine (584 citations). Toby C. Cornish has collaborated with scholars based in United States, Canada and Uganda. Frequent co-authors include Marc K. Halushka, Janis M. Taube, Matthew N. McCall, Robert A. Anders, Nathan Cuka, Elizabeth D. Thompson, Angelo M. De Marzo, Chanjuan Shi, Jessica Hicks and James Morgan. Their work appears in journals such as The American Journal of Surgical Pathology, American Journal of Clinical Pathology, Advances in Anatomic Pathology, Journal of Pathology Informatics and PLoS ONE.

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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