K. Überla

33 papers receiving 385 citations

Peers

K. Überla
Comparison fields: 5 of 123
  • Complementary and alternative medicine 40
  • Internal Medicine 12
  • Neurology 28
  • Cardiology and Cardiovascular Medicine 70
  • Neurology 47
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Citations per field
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Citations per year

Countries citing papers authored by K. Überla

Since Specialization
Citations

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

Fields of papers citing papers by K. Überla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 197956
3 199248
4 196844
5 200436
6 200319
7
Spontaneous platelet aggregation and coagulation parameters as risk factors for arterial occlusions in diabetics. Results of the PARD-study.
198719
8 200218
9 200116
10
[STUDIES FOR THE EVALUATION OF COLLOIDAL VOLUME SUBSTITUTION].
196516
11
PARD: platelet aggregation as a risk factor in diabetics: results of a prospective study.
198515
12 200214
13 19879
14 19687
15 19797
16 20027
17
Haemostasiological parameters as risk factor for new arterial occlusions in diabetics.
19867
18 20096
19
Intranet-Based Clinical Data Entry.
19995
20 19674

About K. Überla

K. Überla is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Surgery, Physiology and Molecular Biology, having authored 36 papers that have together received 445 indexed citations. Recurring topics across this work include Health and Medical Studies (5 papers), Peripheral Artery Disease Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Electronic Health Records Systems (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Smoking Behavior and Cessation (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Complementary and alternative medicine (40 citations), Internal Medicine (12 citations), Neurology (28 citations), Cardiology and Cardiovascular Medicine (70 citations) and Neurology (47 citations). K. Überla has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Armin von Gunten, Sandra Schlaefke, K Breddin, E. Walter, Klaus Lechner, D Loew, Rolf Weitkunat, Nicole Meyer, P.-H. Althoff and Κ. Schöffling. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Health Psychology, Thrombosis Research, Controlled Clinical Trials and Toxicology Letters.

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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