Dávid Becker

163 papers receiving 2.9k citations

Peers

Dávid Becker
Comparison fields: 5 of 169
  • Orthopedics and Sports Medicine 389
  • Biotechnology 372
  • Pharmacology 289
  • Gastroenterology 180
  • Cardiology and Cardiovascular Medicine 671
Replace Chien‐Chang Liao with:
Chien‐Chang Liao Taiwan
Yon Su Kim South Korea
Johannes Haerting Germany
Stefan Agewall Norway
Pei Gao China
Dennis E. Niewoehner United States
Min‐Ho Shin South Korea
Tingting Li China
Jou‐Wei Lin Taiwan
Sun‐Seog Kweon South Korea
Dávid Becker relative to Chien‐Chang Liao Taiwan Chien‐Chang Liao's profile →
Citations per field
00.5×10×14.9×
Chien‐Chang Liao · 1×
Citations per year

Countries citing papers authored by Dávid Becker

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009201
2 2010197
3 2010131
4
A comparison of high and low fat meals on postprandial esophageal acid exposure.
1989122
5 2009113
6 2010111
7 200693
8 200975
9 201072
10 201068
11 200864
12 201451
13 200847
14 201045
15 200943
16 200443
17 201043
18 201542
19 201642
20 201341

About Dávid Becker

Dávid Becker is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Orthopedics and Sports Medicine, General Health Professions and Research and Theory, having authored 180 papers that have together received 3.0k indexed citations. Recurring topics across this work include Healthcare Policy and Management (22 papers), Cardiac Imaging and Diagnostics (15 papers), Acute Myocardial Infarction Research (15 papers), Coronary Interventions and Diagnostics (13 papers), Bone health and osteoporosis research (11 papers), Cardiac pacing and defibrillation studies (11 papers), Hip and Femur Fractures (10 papers) and Microbial Metabolism and Applications (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (389 citations), Biotechnology (372 citations), Pharmacology (289 citations), Gastroenterology (180 citations) and Cardiology and Cardiovascular Medicine (671 citations). Dávid Becker has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Meredith L. Kilgore, Michael A. Morrisey, Ram Y. Gordon, Béla Merkely, Elizabeth Delzell, Kenneth G. Saag, Jeffrey R. Curtis, William R. Obermeyer, Jane W. Sinclair and Lisa C. Gary. Their work appears in journals such as European Heart Journal, Osteoporosis International, PLoS ONE, Health Services Research and The American Journal of Cardiology.

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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