U. Staedt

525 citations
21 papers · 354 · h-index 8

Impact in

Papers in

U. Staedt

17 papers receiving 346 citations

Peers

U. Staedt
Comparison fields: 5 of 57
  • Hepatology 78
  • Clinical Biochemistry 49
  • Cancer Research 68
  • Biochemistry 22
  • Complementary and alternative medicine 21
Replace Silvia Holod with:
Silvia Holod Argentina
Egle Juskeviciute United States
Ting Xin China
Sophia I. Pachydaki United States
Masakazu Shimada Japan
Wenli Yu China
B. Flott‐Rahmel Germany
Mark M. Danney United States
V. Scafidi Italy
Park Cr
U. Staedt relative to Silvia Holod Argentina Silvia Holod's profile →
Citations per field
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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 199379
3 199646
4 199722
5 200717
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 19921
15 20081
16
[Lipid metabolism and parenteral fat administration in liver failure].
19831
17
[Protein and amino acid metabolism in liver failure--therapeutic infusion and dietary sequelae].
19861
18 19880
19 20080
20 19970

About U. Staedt

U. Staedt is a scholar working on Neurology, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 354 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Diet and metabolism studies (3 papers), Metabolism and Genetic Disorders (3 papers), Acute Ischemic Stroke Management (3 papers), Cardiac pacing and defibrillation studies (2 papers), Liver Disease and Transplantation (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Hepatology (78 citations), Clinical Biochemistry (49 citations), Cancer Research (68 citations), Biochemistry (22 citations) and Complementary and alternative medicine (21 citations). U. Staedt has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include E. Holm, H. Leweling, E. Hagmüller, H. Günther, R. Gladisch, F. Behne, Raoul Breitkreutz, Armin Scherhag, Stefan Pfleger and D. L. Heene. Their work appears in journals such as Journal of Hepatology, International journal of cardiac imaging, International Journal of Cardiology, Clinical Nutrition 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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