Daniel C. Bezerra

1.1k citations
13 papers · 577 · h-index 10

Impact in

Papers in

Daniel C. Bezerra

13 papers receiving 557 citations

Peers

Daniel C. Bezerra
Comparison fields: 5 of 66
  • Internal Medicine 31
  • Cardiology and Cardiovascular Medicine 160
  • Neurology 35
  • Neurology 61
  • Epidemiology 134
Replace Kyung-Ho Yu with:
Kyung-Ho Yu South Korea
Anthony K. Metcalf United Kingdom
Penglian Wang China
Gordon Gubitz Canada
Philip L. Mar United States
Heather M. O’Malley Australia
Sharon McCarthy United Kingdom
Guri Hagberg Norway
Yo Han Jung South Korea
Azmil H. Abdul‐Rahim United Kingdom
Daniel C. Bezerra relative to Kyung-Ho Yu South Korea Kyung-Ho Yu's profile →
Citations per field
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Kyung-Ho Yu · 1×
Citations per year

Countries citing papers authored by Daniel C. Bezerra

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Bezerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Bezerra. 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 Daniel C. Bezerra. The network helps show where Daniel C. Bezerra may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005221
2 201186
3 201572
4 201462
5 201546
6 200522
7 201818
8 201112
9 201111
10 20059
11 20059
12 20198
13 20201

About Daniel C. Bezerra

Daniel C. Bezerra is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Neurology, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 13 papers that have together received 577 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Trypanosoma species research and implications (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper) and Cerebral Venous Sinus Thrombosis (1 paper). The work is most often cited by research in Internal Medicine (31 citations), Cardiology and Cardiovascular Medicine (160 citations), Neurology (35 citations), Neurology (61 citations) and Epidemiology (134 citations). Daniel C. Bezerra has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Julien Bogousslavsky, Patrik Michel, Rebecca F. Gottesman, Thomas H. Mosley, A. Richey Sharrett, Elizabeth Selvin, Dean Shibata, B. Gwen Windham, David S. Knopman and Moysés Szklo. Their work appears in journals such as International Journal of Stroke, Neuroradiology, Neurology, Annals of Internal Medicine and Pacing and Clinical Electrophysiology.

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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