Jürgen Machann

16.4k citations
234 papers · 11.7k indexed · 3 hit papers · h-index 61

Jürgen Machann

227 papers receiving 11.5k citations

Hit Papers

Pathophysiolog...2101999202620082017200400600

Peers

Jürgen Machann
Comparison fields: 5 of 147
  • Physiology 4.8k
  • Endocrinology, Diabetes and Metabolism 2.7k
  • Epidemiology 4.6k
  • Endocrine and Autonomic Systems 694
  • Cardiology and Cardiovascular Medicine 2.2k
Replace Gianluca Perseghin with:
Gianluca Perseghin Italy
Sylvie Dufour United States
Douglas E. Befroy United States
Bruce W. Patterson United States
Norbert Stefan Germany
Masakazu Haneda Japan
Jason R.B. Dyck Canada
Kumar Sharma United States
P. Nowotny Austria
Franco Folli Italy
Jürgen Machann relative to Gianluca Perseghin Italy Gianluca Perseghin's profile →
Citations per field
00.5×1.5×2.0×
Gianluca Perseghin · 1×
Citations per year

Countries citing papers authored by Jürgen Machann

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Machann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20242
4 20243
5 20240
6 202213
7 202216
8 20226
9 202128
10 202167
11 202039
12 202055
13 202024
14 20206
15 202041
16 201920
17 201815
18 201819
19 20188
20 201718

About Jürgen Machann

Jürgen Machann is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 234 papers that have together received 11.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (67 papers), Adipose Tissue and Metabolism (66 papers), Cardiovascular Disease and Adiposity (48 papers), Diet and metabolism studies (45 papers), Advanced MRI Techniques and Applications (29 papers), Metabolism, Diabetes, and Cancer (27 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers) and Diet, Metabolism, and Disease (24 papers). The work is most often cited by research in Physiology (4.8k citations), Endocrinology, Diabetes and Metabolism (2.7k citations) and Epidemiology (4.6k citations). Jürgen Machann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Fritz Schick, Andreas Fritsche, Norbert Stefan, Hans‐Ulrich Häring, Claus D. Claussen, Harald Staiger, Fausto Machicao, Claus Thamer, Andreas Peter and Nina F. Schwenzer. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes, Diabetologia, PLoS ONE and Diabetes Care.

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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