Daniel Becker

26 papers receiving 684 citations

Peers

Daniel Becker
Comparison fields: 5 of 79
  • Developmental Neuroscience 81
  • Pathology and Forensic Medicine 241
  • Cellular and Molecular Neuroscience 136
  • Genetics 46
  • Psychiatry and Mental health 58
Replace Keiichiro Shiba with:
Keiichiro Shiba Japan
J Neuwirth Czechia
Serdar Kabataş Türkiye
Hans-Peter Kaps Germany
Doris Maier Germany
Alexandre Fogaça Cristante Brazil
W P Coleman United States
Alexander R. Vaccaro United States
Yasuaki Imajo Japan
Masaaki Imai 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013111
2 200387
3 200374
4 200459
5 201056
6 201751
7 200343
8 201829
9 202020
10 202318
11 201218
12
Cholesterol screening: comparative evaluation of on-site and laboratory-based measurements.
199018
13 199017
14 202316
15 201215
16 201112
17 201910
18 201710
19 201810
20 201810

About Daniel Becker

Daniel Becker is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 715 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (6 papers), Spinal Cord Injury Research (6 papers), Nerve injury and regeneration (4 papers), Aortic aneurysm repair treatments (3 papers), Trauma and Emergency Care Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Vascular Procedures and Complications (2 papers) and Infectious Aortic and Vascular Conditions (2 papers). The work is most often cited by research in Developmental Neuroscience (81 citations), Pathology and Forensic Medicine (241 citations), Cellular and Molecular Neuroscience (136 citations), Genetics (46 citations) and Psychiatry and Mental health (58 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, Micha J. Rapoport, Mordechai Weiss, Salome Weiss, Thomas R. Wyss, Shalini Selvarajah and Vladimir Makaloski. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Journal of Neurotrauma, European Journal of Cardio-Thoracic Surgery, American Journal of Physical Medicine & Rehabilitation and The Neurologist.

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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