U. Staedt

525 citations
33 papers · 393 · h-index 9

Impact in

Papers in

U. Staedt

23 papers receiving 380 citations

Peers

U. Staedt
Comparison fields: 5 of 61
  • Hepatology 91
  • Clinical Biochemistry 55
  • Cancer Research 70
  • Biochemistry 23
  • Physiology 67
Replace Silvia Holod with:
Silvia Holod Argentina
Sophia I. Pachydaki United States
Telisha M. Swain United States
Jacqueline Plass Netherlands
Daisuke Yoshinari Japan
Jie Han China
Ting Xin China
Louie G. Linarelli United States
V. Scafidi Italy
Fukashi Matsuzaki Japan
U. Staedt relative to Silvia Holod Argentina Silvia Holod's profile →
Citations per field
00.5×4.2×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Substrate balances across colonic carcinomas in humans.
1995145
2 199384
3 199649
4 199726
5
[The action profile of D,L-kavain. Cerebral sites and sleep-wakefulness-rhythm in animals].
199120
6 200717
7 199711
8 19948
9 19848
10 19833
11 19893
12 19973
13 19873
14 19863
15 19832
16 20001
17 19921
18 19881
19 20081
20
[Lipid metabolism and parenteral fat administration in liver failure].
19831

About U. Staedt

U. Staedt is a scholar working on Nutrition and Dietetics, Epidemiology, Neurology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 393 indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (11 papers), Metabolism and Genetic Disorders (7 papers), Diet and metabolism studies (5 papers), Acute Ischemic Stroke Management (5 papers), Liver Disease and Transplantation (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Alcoholism and Thiamine Deficiency (3 papers). The work is most often cited by research in Hepatology (91 citations), Clinical Biochemistry (55 citations), Cancer Research (70 citations), Biochemistry (23 citations) and Physiology (67 citations). U. Staedt has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include H. Leweling, E. Holm, E. Hagmüller, H. Günther, R. Gladisch, F. Behne, Raoul Breitkreutz, D. L. Heene, Stefan Pfleger and Armin Scherhag. Their work appears in journals such as Journal of Molecular Medicine, Journal of Hepatology, Pacing and Clinical Electrophysiology, Clinical Nutrition and International Journal of Cardiology.

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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