K.-H. Usadel

596 citations
31 papers · 476 · h-index 11

Impact in

Papers in

K.-H. Usadel

29 papers receiving 460 citations

Peers

K.-H. Usadel
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 195
  • Physiology 127
  • Cardiology and Cardiovascular Medicine 104
  • Biochemistry 28
  • Cancer Research 43
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Yumi Jimbu Japan
Tayze T. Antunes Canada
Leann Olansky United States
Dolkun Rahmutula Japan
Naomichi Matsukawa Japan
Shin-ichi Gorogawa Japan
Eun‐Gyoung Hong South Korea
Amanda Garza United States
R Kato Japan
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Citations per field
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Citations per year

Countries citing papers authored by K.-H. Usadel

Since Specialization
Citations

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

Fields of papers citing papers by K.-H. Usadel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-H. Usadel. 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 K.-H. Usadel. The network helps show where K.-H. Usadel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002106
2 199283
3 199851
4
The pyruvate kinase isoenzyme tumor M2 (Tu M2-PK) as a tumor marker for renal carcinoma.
199943
5 200232
6
Fenofibrate improves microcirculation in patients with hyperlipidemia.
199823
7 200216
8 199715
9 200212
10 200310
11 198210
12 19778
13 19837
14 20017
15 19756
16 19736
17 19975
18
[Long-term antihypertensive therapy of diabetic patients with felodipine. Effects of treatment on blood pressure and kidney function parameters].
19925
19 19865
20 19934

About K.-H. Usadel

K.-H. Usadel is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 476 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Hormonal Regulation and Hypertension (4 papers), Blood Pressure and Hypertension Studies (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Electrolyte and hormonal disorders (3 papers), Thyroid Disorders and Treatments (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Physiology (127 citations), Cardiology and Cardiovascular Medicine (104 citations), Biochemistry (28 citations) and Cancer Research (43 citations). K.-H. Usadel has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Klaus Badenhoop, E Jungmann, T Haak, Harald Rau, Thomas R. Konrad, G Lübben, Frank Schneider, Klaus Kusterer, Thorsten Siegmund and H. Donner. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Journal of Endocrinology and Endocrinology.

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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