U. Staedt

525 citations
21 papers · 378 · h-index 8

Impact in

Papers in

U. Staedt

17 papers receiving 370 citations

Peers

U. Staedt
Comparison fields: 5 of 69
  • Hepatology 83
  • Clinical Biochemistry 61
  • Cancer Research 73
  • Biochemistry 25
  • Complementary and alternative medicine 22
Replace Silvia Holod with:
Silvia Holod Argentina
Kazutaka Tanabe Japan
Zhuqing Rao China
M. Mendes-Braz Spain
Mahmoud Abu‐Amara United Kingdom
V. Scafidi Italy
Annette Bellar United States
B Straus United States
Jiro Sugimoto Japan
Maeng Bong Jin Japan
U. Staedt relative to Silvia Holod Argentina Silvia Holod's profile →
Citations per field
00.5×4.7×
Silvia Holod · 1×
Citations per year

Countries citing papers authored by U. Staedt

Since Specialization
Citations

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

Fields of papers citing papers by U. Staedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Substrate balances across colonic carcinomas in humans.
1995140
2 199378
3 199646
4 199542
5 199722
6
[The action profile of D,L-kavain. Cerebral sites and sleep-wakefulness-rhythm in animals].
199117
7 199711
8 19948
9 19893
10 19973
11 19832
12 19831
13 20001
14
[Protein and amino acid metabolism in liver failure--therapeutic infusion and dietary sequelae].
19861
15 19921
16 20081
17
[Lipid metabolism and parenteral fat administration in liver failure].
19831
18 20080
19 19880
20 19970

About U. Staedt

U. Staedt is a scholar working on Neurology, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Epidemiology and Clinical Biochemistry, having authored 21 papers that have together received 378 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (6 papers), Metabolism and Genetic Disorders (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Diet and metabolism studies (4 papers), Acute Ischemic Stroke Management (3 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Hepatology (83 citations), Clinical Biochemistry (61 citations), Cancer Research (73 citations), Biochemistry (25 citations) and Complementary and alternative medicine (22 citations). U. Staedt has collaborated with scholars based in Germany and United States. Frequent co-authors include H. Leweling, E. Holm, E. Hagmüller, H. Günther, R. Gladisch, F. Behne, Raoul Breitkreutz, S. Ries, Michael Daffertshofer and Ulf Schminke. Their work appears in journals such as Journal of Hepatology, International Journal of Cardiology, Cerebrovascular Diseases, International journal of cardiac imaging and Journal of Molecular Medicine.

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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