Patrick Ten Eyck

89 papers receiving 1.8k citations

Patrick Ten Eyck's Hit Papers

Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection 2017 · 604 citations
6040+3+6Years since publication200400600

Peers

Patrick Ten Eyck
Comparison fields: 5 of 130
  • Infectious Diseases 701
  • Obstetrics and Gynecology 160
  • Modeling and Simulation 80
  • Internal Medicine 46
  • Neurology 116
Replace Raffaele La Russa with:
Raffaele La Russa Italy
Charlotte Warren‐Gash United Kingdom
Anthony Heymann Israel
Patrick Mallon Ireland
Aniello Maiese Italy
Matthew Arentz United States
Ashish Datt Upadhyay India
Alexis L. Beatty United States
Lisa McCorkell United States
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Countries citing papers authored by Patrick Ten Eyck

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Ten Eyck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Ten Eyck. 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 Patrick Ten Eyck. The network helps show where Patrick Ten Eyck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection
Hit paper breakdown →
2017604
2 2017196
3 202191
4 201890
5 202064
6 201860
7 202147
8 202042
9 202333
10 202027
11 202325
12 201724
13 201923
14 202120
15 202020
16 202220
17 202119
18 202017
19 202017
20 202116

About Patrick Ten Eyck

Patrick Ten Eyck is a scholar working on Pathology and Forensic Medicine, Epidemiology, Neurology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), COVID-19 Clinical Research Studies (5 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Transcranial Magnetic Stimulation Studies (4 papers), Pelvic floor disorders treatments (3 papers), Airway Management and Intubation Techniques (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Infectious Diseases (701 citations), Obstetrics and Gynecology (160 citations), Modeling and Simulation (80 citations), Internal Medicine (46 citations) and Neurology (116 citations). Patrick Ten Eyck has collaborated with scholars based in United States, Saudi Arabia and Brazil. Frequent co-authors include Stanley Perlman, Matthias Mack, Craig Fett, David K. Meyerholz, Rudragouda Channappanavar, Chaorong Wu, Colette Galet, Kathleen S Romanowski, Yunshu Zhou and Sameera M. Al Johani. Their work appears in journals such as Fertility and Sterility, PLoS ONE, American Journal of Respiratory and Critical Care Medicine, Brain stimulation and Surgery.

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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