A. Resai Bengur

1.7k citations
35 papers · 1.3k indexed · h-index 18

A. Resai Bengur

35 papers receiving 1.2k citations

Peers

A. Resai Bengur
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 464
  • Physiology 376
  • Rheumatology 215
  • Cell Biology 213
  • Epidemiology 434
Replace Alejandra González‐Duarte with:
Alejandra González‐Duarte Mexico
Hirokazu Shiraishi Japan
Csaba Galambos United States
Ana Maria Crous Tsanaclis Brazil
Françoise Mauray United States
Bruno Costes France
Jan M. Herter United States
Tomohiro Ikeda Japan
Taku Nakashima Japan
Anissa Sidibé United Kingdom
A. Resai Bengur relative to Alejandra González‐Duarte Mexico Alejandra González‐Duarte's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Resai Bengur

Since Specialization
Citations

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

Fields of papers citing papers by A. Resai Bengur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Resai Bengur. 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 A. Resai Bengur. The network helps show where A. Resai Bengur may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20094
2 200621
3 20027
4 2001293
5 20004
6 200035
7 19991
8 199919
9 19989
10 199731
11 199523
12 19954
13 199537
14 19921
15 199116
16 19903
17 19892
18 198931
19 198820
20 1987129

About A. Resai Bengur

A. Resai Bengur is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (18 papers), Cardiac Valve Diseases and Treatments (13 papers), Cardiovascular Function and Risk Factors (6 papers), Aortic Disease and Treatment Approaches (4 papers), Cardiac Structural Anomalies and Repair (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Glycogen Storage Diseases and Myoclonus (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (464 citations), Physiology (376 citations) and Rheumatology (215 citations). A. Resai Bengur has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include James R. Sellers, Seiji Umemoto, Ettore Appella, E A Robinson, Jennifer S. Li, Priya S. Kishnani, Stephen P. Sanders, A. Rebecca Snider, Sachiyo Kawamoto and Robert Adelstein. Their work appears in journals such as The American Journal of Cardiology, The Annals of Thoracic Surgery, Journal of Biological Chemistry, Genetics in Medicine and Journal of the American Society of Echocardiography.

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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