Corey Arnold

915 citations
19 papers · 235 · h-index 7

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 detection and testing 3
    • FOXO transcription factor regulation 1

Corey Arnold

17 papers receiving 230 citations

Peers

Corey Arnold
Comparison fields: 5 of 64
  • Neurology 19
  • Neurology 27
  • Cell Biology 31
  • Immunology 36
  • Infectious Diseases 30
Replace Keiji Iwatsuki with:
Keiji Iwatsuki Japan
Tanja M. Müller Germany
Hideki Fukuoka Japan
Marius Birlea United States
Naama Orenstein Israel
Heike Rübsamen Germany
Junwan Fan China
Xue Cao China
Katherine S. Elliott United Kingdom
Anupama Gopisetty United States
Corey Arnold relative to Keiji Iwatsuki Japan Keiji Iwatsuki's profile →
Citations per field
00.5×10×14.3×
Keiji Iwatsuki · 1×
Citations per year

Countries citing papers authored by Corey Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Corey Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014104
2 202230
3 202122
4 202216
5 201412
6
Wireless data collection of self-administered surveys using tablet computers.
201112
7 20229
8 20236
9 20225
10 20244
11 20224
12 20223
13 20213
14 20232
15 20241
16 20221
17 20221
18 20250
19 20250

About Corey Arnold

Corey Arnold is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Obstetrics and Gynecology, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Impact on Reproduction (2 papers), Biomarkers in Disease Mechanisms (1 paper), FOXO transcription factor regulation (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Neurology (19 citations), Neurology (27 citations), Cell Biology (31 citations), Immunology (36 citations) and Infectious Diseases (30 citations). Corey Arnold has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Sarah J. Childs, Sudha Seshadri, Jonathan M. Skarie, Andrew J. Waskiewicz, Anita L. DeStefano, William H. Dietz, Ordan J. Lehmann, Curtis R. French, Philip J. Gage and Tsutomu Kume. Their work appears in journals such as BMJ Open, CMAJ Open, Nature Communications, iScience and The FASEB Journal.

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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