C Hohberg

1.1k total citations
31 papers, 929 citations indexed

About

C Hohberg is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, C Hohberg has authored 31 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in C Hohberg's work include Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diabetes Management and Research (10 papers). C Hohberg is often cited by papers focused on Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diabetes Management and Research (10 papers). C Hohberg collaborates with scholars based in Germany, Denmark and Japan. C Hohberg's co-authors include Thomas Först, Andreas Pfützner, G Lübben, Thomas R. Konrad, Peter Herbert Kann, Matthias Langenfeld, S Först, T. Kunt, Volkmar H.R. Schmid and A Pfützner and has published in prestigious journals such as Circulation, Diabetes Care and Atherosclerosis.

In The Last Decade

C Hohberg

29 papers receiving 882 citations

Peers

C Hohberg
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 566
  • Molecular Biology 265
  • Surgery 260
  • Epidemiology 191
  • Cardiology and Cardiovascular Medicine 144
Replace Hasan Altunbaş with:
Hasan Altunbaş Türkiye
Yoshihito Atsumi Japan
Outi Heikkilä Finland
M. Rema India
Kustaa Hietala Finland
Ching-Chu Chen Taiwan
Fone‐Ching Hsiao Taiwan
Wenjia Yang China
Jun‐Sing Wang Taiwan
Aaron Wong United Kingdom
Hasan Altunbaş Türkiye View profile →
Citations per field, relative to C Hohberg
C Hohberg · 1×
Citations per year, relative to C Hohberg
C Hohberg · 1×

Countries citing papers authored by C Hohberg

Since Specialization
Citations

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

Fields of papers citing papers by C Hohberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Hohberg

This figure shows the co-authorship network connecting the top 25 collaborators of C Hohberg. A scholar is included among the top collaborators of C Hohberg 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 C Hohberg. C Hohberg 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 1
2 1
3 15
4 16
5 10
6 16
7 9
8 25
9 22
10 70
11 28
12 36
13 60
14 10
15
Relaxin expression correlates significantly with serum changes in VEGF in response to antidiabetic treatment in male patients with type 2 diabetes mellitus.
1
16 23
17 33
18 24
19 13
20 124

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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