J Ringel

24 papers receiving 797 citations

Peers

J Ringel
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 173
  • Cardiology and Cardiovascular Medicine 216
  • Physiology 148
  • Nephrology 38
  • Molecular Biology 277
Replace Francisco R. González‐Pacheco with:
Francisco R. González‐Pacheco Spain
Yoshiharu Kanayama Japan
Anna Wickman Sweden
Marohito Murakami Japan
Simonetta Bacci Italy
A. Pessino Italy
David Kalant Canada
Yukihiro Nagai Japan
M. Ciccarese Italy
H.-U. Häring Germany
J Ringel relative to Francisco R. González‐Pacheco Spain Francisco R. González‐Pacheco's profile →
Citations per field
00.5×1.5×2.3×
Francisco R. González‐Pacheco · 1×
Citations per year

Countries citing papers authored by J Ringel

Since Specialization
Citations

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

Fields of papers citing papers by J Ringel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999126
2 199884
3 200480
4 200274
5 199763
6 200662
7 200161
8 200156
9 199945
10 199930
11 200029
12 199726
13 199721
14 202116
15 20009
16 20178
17 20176
18 20005
19 20175
20 20174

About J Ringel

J Ringel is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Oncology, having authored 26 papers that have together received 821 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Peptidase Inhibition and Analysis (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cell Adhesion Molecules Research (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Cardiology and Cardiovascular Medicine (216 citations), Physiology (148 citations), Nephrology (38 citations) and Molecular Biology (277 citations). J Ringel has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Arya M. Sharma, Armin Distler, Stefan Engeli, Joachim Beige, Regina Kunz, A. Distler, Eva Brand, Ulrike Schorr, Ankita Sharma and Lars G. Fritsche. Their work appears in journals such as Atherosclerosis Supplements, Journal of Hypertension, Journal of the American Society of Nephrology, Biochemical and Biophysical Research Communications and International Journal of Obesity.

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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