Marc Becker

28 papers receiving 484 citations

Peers

Marc Becker
Comparison fields: 5 of 72
  • Genetics 267
  • Orthodontics 19
  • Surgery 147
  • Transplantation 9
  • Clinical Biochemistry 22
Replace Jaime Bravo with:
Jaime Bravo Chile
D Katznelson Israel
Baker Al-Awamy Saudi Arabia
G.H. Amirhakimi Iran
Linda Tartaglione Italy
Allison Wehr United States
O. P. Mishra India
Akiko Fukunaga Japan
Hilal Uslu Toygar Türkiye
Virginia Mirra Italy
Marc Becker relative to Jaime Bravo Chile Jaime Bravo's profile →
Citations per field
00.5×10×13.3×
Jaime Bravo · 1×
Citations per year

Countries citing papers authored by Marc Becker

Since Specialization
Citations

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

Fields of papers citing papers by Marc Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 202193
3 202047
4 201947
5 201625
6 195315
7 201915
8 202114
9 201213
10 201212
11 201811
12 19799
13 20229
14 19789
15 19749
16 20208
17
Das Göttinger Miniaturschwein als Versuchstier: 5. Mitteilung: Das Herzminutenvolumen, seine prozentuale Verteilung auf den Organismus und die effektive Organdurchblutung
19797
18 20217
19 19537
20 19746

About Marc Becker

Marc Becker is a scholar working on Surgery, Genetics, Molecular Biology, Small Animals and Nutrition and Dietetics, having authored 30 papers that have together received 506 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (6 papers), RNA modifications and cancer (3 papers), Clinical Nutrition and Gastroenterology (3 papers), RNA Research and Splicing (2 papers), Organ and Tissue Transplantation Research (2 papers), Dental materials and restorations (2 papers), Congenital Anomalies and Fetal Surgery (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Genetics (267 citations), Orthodontics (19 citations), Surgery (147 citations), Transplantation (9 citations) and Clinical Biochemistry (22 citations). Marc Becker has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Jürgen Durner, Siegfried Burggraf, Wulf Röschinger, Katharina Vill, Wolfgang Müller‐Felber, Brunhilde Wirth, Ulrike Schara, Astrid Blaschek, Uta Nennstiel and Dieter Gläser. Their work appears in journals such as Dental Materials, Journal of Pediatric Surgery, Pflügers Archiv - European Journal of Physiology, European Journal of Human Genetics and Journal of Neuromuscular Diseases.

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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