Toby C. Cornish

14.9k citations
81 papers · 3.8k · h-index 30

Impact in

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

Papers in

Toby C. Cornish

78 papers receiving 3.8k citations

Peers

Toby C. Cornish
Comparison fields: 5 of 141
  • Cancer Research 647
  • Oncology 1.2k
  • Hepatology 167
  • Pulmonary and Respiratory Medicine 619
  • Immunology 423
Replace Shumpei Ishikawa with:
Shumpei Ishikawa Japan
Elaine W. Kay Ireland
Karin A. Oien United Kingdom
Esther Herpel Germany
Marco Novelli United Kingdom
Marco Novelli United Kingdom
Ben Vainer Denmark
Arief A. Suriawinata United States
Wilfried Roth Germany
Mohammad Ilyas United Kingdom
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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016368
2 2008338
3 2015277
4 2008235
5 2014160
6 2012146
7 2013136
8 2014128
9 2018127
10 2013122
11 2017114
12 2011107
13 2012106
14 201696
15 201492
16 202281
17 201079
18 201571
19 201568
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 81 papers that have together received 3.8k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Cell Image Analysis Techniques (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Genomics and Diagnostics (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (647 citations), Oncology (1.2k citations), Hepatology (167 citations), Pulmonary and Respiratory Medicine (619 citations) and Immunology (423 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 William B. Isaacs. Their work appears in journals such as The American Journal of Surgical Pathology, American Journal of Clinical Pathology, Mobile DNA, Cancer Research and Journal of Pathology Informatics.

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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