K.-H. Usadel

596 citations
33 papers · 504 · h-index 11

Impact in

    • Diabetes Treatment and Management
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Thyroid Cancer Diagnosis and Treatment
    • Thyroid Disorders and Treatments
    • Nitric Oxide and Endothelin Effects

Papers in

K.-H. Usadel

30 papers receiving 483 citations

Peers

K.-H. Usadel
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 178
  • Physiology 115
  • Cardiology and Cardiovascular Medicine 87
  • Biochemistry 25
  • Behavioral Neuroscience 10
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002109
2 199286
3 199854
4
The pyruvate kinase isoenzyme tumor M2 (Tu M2-PK) as a tumor marker for renal carcinoma.
199944
5 200236
6
Fenofibrate improves microcirculation in patients with hyperlipidemia.
199823
7 200217
8 199716
9 200213
10 200311
11 198211
12 19758
13 20018
14 19778
15 19738
16 19837
17 19895
18 19975
19
[Long-term antihypertensive therapy of diabetic patients with felodipine. Effects of treatment on blood pressure and kidney function parameters].
19925
20 19865

About K.-H. Usadel

K.-H. Usadel is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 33 papers that have together received 504 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Diabetes and associated disorders (4 papers), Blood Pressure and Hypertension Studies (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Sperm and Testicular Function (3 papers), Thyroid Disorders and Treatments (3 papers), Electrolyte and hormonal disorders (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Physiology (115 citations), Cardiology and Cardiovascular Medicine (87 citations), Biochemistry (25 citations) and Behavioral Neuroscience (10 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, Frank Schneider, G Lübben, Klaus Kusterer, H. Donner and J. Braun. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, American Journal of Hypertension and Diabetologia.

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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