Stephen Capone

1.3k citations
21 papers · 221 · h-index 11

Impact in

    • Neurosurgical Procedures and Complications
    • Intracranial Aneurysms: Treatment and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Traumatic Brain Injury and Neurovascular Disturbances
    • SARS-CoV-2 and COVID-19 Research

Papers in

Stephen Capone

20 papers receiving 219 citations

Peers

Stephen Capone
Comparison fields: 5 of 65
  • Neurology 56
  • Infectious Diseases 26
  • Endocrinology, Diabetes and Metabolism 22
  • Genetics 10
  • Electronic, Optical and Magnetic Materials 18
Replace Flaviana Cau with:
Flaviana Cau Italy
Hongrong Zhang China
Blair Wilson United Kingdom
Alok K. Shah Australia
Maribel Tírado-Gómez Puerto Rico
Selene C. Koo United States
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Fumiko Oda Japan
Yating Dian China
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Capone

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Capone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202330
2 201427
3 201820
4 202020
5 200120
6 202317
7 201813
8 202312
9 202311
10 202211
11 201910
12 20207
13 20226
14 20185
15 20213
16 20213
17 20212
18 20222
19 20131
20 20231

About Stephen Capone

Stephen Capone is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Surgery, having authored 21 papers that have together received 221 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (5 papers), Immune responses and vaccinations (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Vaccine Coverage and Hesitancy (2 papers), Telomeres, Telomerase, and Senescence (2 papers), COVID-19 and healthcare impacts (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Neurology (56 citations), Infectious Diseases (26 citations), Endocrinology, Diabetes and Metabolism (22 citations), Genetics (10 citations) and Electronic, Optical and Magnetic Materials (18 citations). Stephen Capone has collaborated with scholars based in United States, Grenada and Germany. Frequent co-authors include Anthony Colombo, Giridharan Ramsingh, Kwasi Connor, P. Chandrasekaran, Serena DeBeer, Joel T. Mague, James P. Donahue, Visish M. Srinivasan, Juan Vivanco‐Suarez and Brian T. Jankowitz. Their work appears in journals such as mSystems, Experimental Hematology and Oncology, Experimental Hematology, Journal for ImmunoTherapy of Cancer and Blood.

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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