Denis Bailey

59 papers receiving 2.0k citations

Peers

Denis Bailey
Comparison fields: 5 of 84
  • Oncology 829
  • Pathology and Forensic Medicine 330
  • Genetics 138
  • Surgery 536
  • Reproductive Medicine 90
Replace Norihiro Teramoto with:
Norihiro Teramoto Japan
Jeffrey Theaker United Kingdom
Nobuya Ohara Japan
Pascal Chaubert Switzerland
Lucio Palombini Italy
Michael Dictor Sweden
Nobuhide Masawa Japan
Takashi Koshikawa Japan
K Aozasa Japan
Işınsu Kuzu Türkiye
Denis Bailey relative to Norihiro Teramoto Japan Norihiro Teramoto's profile →
Citations per field
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Norihiro Teramoto · 1×
Citations per year

Countries citing papers authored by Denis Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Denis Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Bailey. 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 Denis Bailey. The network helps show where Denis Bailey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002478
2 1999228
3 1999108
4
Germline p16INK4A mutation and protein dysfunction in a family with inherited melanoma.
199569
5 199163
6 198862
7 198360
8 198655
9 200755
10 201153
11 198847
12
Cell cycle dependent regulation of the protein kinase TTK.
199445
13 198843
14 198341
15 200736
16 201034
17 201033
18 199730
19 198930
20 200430

About Denis Bailey

Denis Bailey is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Surgery, Genetics and Oncology, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (5 papers), Testicular diseases and treatments (4 papers), Virus-based gene therapy research (4 papers), Sperm and Testicular Function (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Oncology (829 citations), Pathology and Forensic Medicine (330 citations), Genetics (138 citations), Surgery (536 citations) and Reproductive Medicine (90 citations). Denis Bailey has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Alexander Marks, Harriette J. Kahn, Reuben Baumal, D. Robert Sutherland, John H. Law, D Banerjee, Herman Yeger, Scott Boerner, Gilda da Cunha Santos and William R. Geddie. Their work appears in journals such as Cancer Cytopathology, American Journal of Clinical Pathology, Journal of Clinical Pathology, British Journal of Cancer 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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