Daniel Becker

25 papers receiving 643 citations

Peers

Daniel Becker
Comparison fields: 5 of 83
  • Developmental Neuroscience 75
  • Pathology and Forensic Medicine 265
  • Cellular and Molecular Neuroscience 133
  • Orthopedics and Sports Medicine 46
  • Genetics 51
Replace Keiichiro Shiba with:
Keiichiro Shiba Japan
Kensuke Kubota Japan
Alexandre Fogaça Cristante Brazil
Serdar Kabataş Türkiye
Deniz Konya Türkiye
Todd D. McCall United States
Lukas Grassner Austria
Ilyas Eli United States
Jeffrey H. Weinreb United States
Mitsuhiro Kamiya Japan
Daniel Becker relative to Keiichiro Shiba Japan Keiichiro Shiba's profile →
Citations per field
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Keiichiro Shiba · 1×
Citations per year

Countries citing papers authored by Daniel Becker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 200386
3 200371
4 200452
5 201051
6 201749
7 200342
8 201828
9
Cholesterol screening: comparative evaluation of on-site and laboratory-based measurements.
199017
10 201216
11 202016
12 199016
13 202315
14 202314
15 201214
16 201111
17 201910
18 20179
19 20239
20 20188

About Daniel Becker

Daniel Becker is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 665 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (8 papers), Aortic aneurysm repair treatments (7 papers), Spinal Cord Injury Research (6 papers), Nerve injury and regeneration (4 papers), Vascular Procedures and Complications (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Trauma and Emergency Care Studies (3 papers) and Infectious Aortic and Vascular Conditions (3 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Pathology and Forensic Medicine (265 citations), Cellular and Molecular Neuroscience (133 citations), Orthopedics and Sports Medicine (46 citations) and Genetics (51 citations). Daniel Becker has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include John W. McDonald, Cristina Sadowsky, Roberto Mester, Abraham Weizman, Mordechai Weiss, Micha J. Rapoport, Shalini Selvarajah, Salome Weiss, Edward R. Hammond and Adil H. Haider. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Journal of Neurotrauma, European Journal of Cardio-Thoracic Surgery, Multiple Sclerosis and Related Disorders and Experimental Neurology.

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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