John Day

2.0k citations
30 papers · 1.2k · 1 hit paper · h-index 15

Impact in

Papers in

John Day

27 papers receiving 1.2k citations

John Day's Hit Papers

Urine TMPRSS2:ERG Plus PCA3 for Individualized Prostate Cancer Risk Assessment 2015 · 278 citations
2780+3+7Years since publication50100150200250

Peers

John Day
Comparison fields: 5 of 102
  • Virology 180
  • Pulmonary and Respiratory Medicine 646
  • Cancer Research 245
  • Molecular Biology 287
  • Immunology 85
Replace Premal H. Patel with:
Premal H. Patel United States
Jeffrey M. Gerold United States
Victoria Wang United States
Nicolas Rouyrre Switzerland
Anna Zhou United States
Hélène Goulaouic France
Carl Schaper United States
Lisa Lupinacci United States
Peter Barry United Kingdom
Lisa Mahnke United States
John Day relative to Premal H. Patel United States Premal H. Patel's profile →
Citations per field
00.5×1.5×
Premal H. Patel · 1×
Citations per year

Countries citing papers authored by John Day

Since Specialization
Citations

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

Fields of papers citing papers by John Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008344
2
Urine TMPRSS2:ERG Plus PCA3 for Individualized Prostate Cancer Risk Assessment
Hit paper breakdown →
2015278
3 200493
4 200876
5 201063
6 200456
7 199851
8 200944
9 200533
10 200620
11 200118
12 201016
13 201416
14 201015
15 200114
16 199911
17 200610
18
The Story of London's Underground
196310
19 20249
20 19718

About John Day

John Day is a scholar working on Virology, Pulmonary and Respiratory Medicine, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (4 papers), Prostate Cancer Treatment and Research (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Mosquito-borne diseases and control (3 papers), Transport and Economic Policies (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Virology (180 citations), Pulmonary and Respiratory Medicine (646 citations), Cancer Research (245 citations), Molecular Biology (287 citations) and Immunology (85 citations). John Day has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jack Groskopf, Harry G. Rittenhouse, John Guatelli, Amy Blase, William J. Ellis, Seongjoon Koo, Alan W. Partin, Leonard S. Marks, Ina L. Deras and Sheila M. J. Aubin. Their work appears in journals such as The Journal of Urology, Urology, Journal of Virology, European Urology and Cancer Letters.

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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