Jürgen Beyer

1.2k total citations
47 papers, 934 citations indexed

About

Jürgen Beyer is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Jürgen Beyer has authored 47 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jürgen Beyer's work include Advanced MIMO Systems Optimization (6 papers), Diabetes Management and Research (4 papers) and Millimeter-Wave Propagation and Modeling (4 papers). Jürgen Beyer is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Diabetes Management and Research (4 papers) and Millimeter-Wave Propagation and Modeling (4 papers). Jürgen Beyer collaborates with scholars based in Germany, United Kingdom and Denmark. Jürgen Beyer's co-authors include Andreas Pfützner, Thomas Först, George J. Kahaly, Achim Peters, Bernd Fruehwald‐Schultes, Bente Klarlund Pedersen, E Küstner, T. Kunt, Jürgen Meyer and Jürgen Schrezenmeir and has published in prestigious journals such as Biomaterials, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Jürgen Beyer

44 papers receiving 877 citations

Peers

Jürgen Beyer
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 327
  • Surgery 308
  • Molecular Biology 184
  • Genetics 149
  • Epidemiology 130
Replace Sebahat Özdem with:
Sebahat Özdem Türkiye
K. Nonaka Japan
Kazutoshi Murakami Japan
Hiroko Yasuda Japan
G Tchobroutsky France
Y Takemura Japan
T. Pedersen Denmark
Eun‐Mi Lee South Korea
Robert W. Coatney United States
Sebahat Özdem Türkiye View profile →
Citations per field, relative to Jürgen Beyer
Jürgen Beyer · 1×
Citations per year, relative to Jürgen Beyer
Jürgen Beyer · 1×

Countries citing papers authored by Jürgen Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Beyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Beyer. A scholar is included among the top collaborators of Jürgen Beyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jürgen Beyer. Jürgen Beyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 30
2 100
3 8
4 89
5 42
6
Bioäquivalenz eines Kombinationspräparates aus Levothyroxin und Jodid im Vergleich zum Monopräparat Levothyroxin : Eine kontrollierte Doppelblindstudie zur Bioverfügbarkeit (Originalarbeit)
2
7 33
8 14
9 68
10 10
11 4
12 6
13 11
14 14
15 1
16 22
17 6
18 26
19 10
20 3

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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