K Huth

493 citations
38 papers · 251 · h-index 8

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 7
    • Clusterin in disease pathology 2
    • Cancer Treatment and Pharmacology 1

K Huth

34 papers receiving 193 citations

Peers

K Huth
Comparison fields: 5 of 66
  • Hematology 66
  • Critical Care and Intensive Care Medicine 28
  • Internal Medicine 20
  • Pulmonary and Respiratory Medicine 74
  • Genetics 23
Replace George Y. Shinowara with:
George Y. Shinowara United States
I Alberca Spain
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Citations per field
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Citations per year

Countries citing papers authored by K Huth

Since Specialization
Citations

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

Fields of papers citing papers by K Huth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196785
2 197145
3 197711
4 19638
5 19757
6 19707
7 19657
8 19757
9
[Consumption coagulopathy in liver cirrhosis?].
19686
10 19726
11
[Classification of the hyperlipoproteinemias].
19706
12 19735
13
[BLOOD LIPIDS AND INTRAVASCULAR COAGULATION IN THE PATHOGENESIS OF THE SANARELLI-SHWARTZMAN PHENOMENON].
19645
14 19685
15
[Dyslipoproteinemia and diabetes mellitus in a metabolic syndrome].
19924
16 19674
17
[Hypo-alpha-lipoproteinemia (Tangier disease)].
19703
18 19713
19 19723
20 19663

About K Huth

K Huth is a scholar working on Surgery, Oncology, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 251 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Clusterin in disease pathology (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Pharmacology and Obesity Treatment (2 papers), Diet and metabolism studies (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Hematology (66 citations), Critical Care and Intensive Care Medicine (28 citations), Internal Medicine (20 citations), Pulmonary and Respiratory Medicine (74 citations) and Genetics (23 citations). K Huth has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include H. G. Lasch, D. L. Heene, W. Sandritter, Ch. Mittermayer, G. Müller‐Berghaus, F. W. Schmahl, W. Schoenborn, H. Heckers, Kurt E.J. Dittmar and K. Brand. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Endocrinology, Thrombosis and Haemostasis, The Lancet and Atherosclerosis.

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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