John Volpi

1.9k citations
53 papers · 828 · h-index 14

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

John Volpi

46 papers receiving 811 citations

Peers

John Volpi
Comparison fields: 5 of 88
  • Internal Medicine 67
  • Neurology 182
  • Epidemiology 392
  • Neurology 89
  • Rehabilitation 69
Replace Gerardo Ruiz‐Ares with:
Gerardo Ruiz‐Ares Spain
Matthias Gawlitza Germany
Elodie Ong France
Guangming Zhu United States
Feng Gao China
Christian Maegerlein Germany
Daniel P. Hsu United States
Abdul Tarabishy United States
Marios Psychogios Germany
Áine Merwick Ireland
John Volpi relative to Gerardo Ruiz‐Ares Spain Gerardo Ruiz‐Ares's profile →
Citations per field
00.5×1.5×2.3×
Gerardo Ruiz‐Ares · 1×
Citations per year

Countries citing papers authored by John Volpi

Since Specialization
Citations

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

Fields of papers citing papers by John Volpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2 2017119
3 201896
4 202075
5 201434
6 201929
7 202228
8 201924
9 202221
10 202217
11 201914
12 201013
13 202113
14 202213
15 202013
16 202112
17 202311
18 201811
19 20239
20 20208

About John Volpi

John Volpi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 53 papers that have together received 828 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (19 papers), Cardiovascular and Diving-Related Complications (11 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Stroke Rehabilitation and Recovery (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Internal Medicine (67 citations), Neurology (182 citations), Epidemiology (392 citations), Neurology (89 citations) and Rehabilitation (69 citations). John Volpi has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Matthew R. Fusco, Robert F. James, Rohan Chitale, Mohammad Obadah Nakawah, Eva Mistry, Akshitkumar M. Mistry, Kelvin Wong, Stephen T.C. Wong, James Z. Wang and Joanne Kurtzberg. Their work appears in journals such as Stroke, Journal of Medical Economics, Neurology, Journal of Stroke and Cerebrovascular Diseases and Stem Cells Translational Medicine.

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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