K. Koerner

792 citations
56 papers · 541 · h-index 14

Impact in

Papers in

    • Blood groups and transfusion 16
    • Platelet Disorders and Treatments 4
    • Hepatitis C virus research 20

K. Koerner

53 papers receiving 507 citations

Peers

K. Koerner
Comparison fields: 5 of 73
  • Hepatology 236
  • Biochemistry 127
  • Hematology 158
  • Management of Technology and Innovation 89
  • Epidemiology 226
Replace Y. Piquet with:
Y. Piquet France
H. Schmitt Germany
Kabita Chatterjee India
Giorgia Canellini Switzerland
Sylvie Gross France
Julian B. Schorr United States
N. A. Anderson United Kingdom
Cathy Schechterly United States
Karin Janetzko Germany
R. G. Graw United States
K. Koerner relative to Y. Piquet France Y. Piquet's profile →
Citations per field
00.5×4.7×
Y. Piquet · 1×
Citations per year

Countries citing papers authored by K. Koerner

Since Specialization
Citations

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

Fields of papers citing papers by K. Koerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199458
2 199849
3 199849
4 199539
5 198934
6 199424
7 199419
8 198617
9 197517
10 198417
11 199913
12 199313
13 199513
14 199813
15 199512
16 199512
17 199511
18 199911
19 198311
20 200010

About K. Koerner

K. Koerner is a scholar working on Hematology, Hepatology, Epidemiology, Biochemistry and Management of Technology and Innovation, having authored 56 papers that have together received 541 indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (16 papers), Blood groups and transfusion (16 papers), Blood transfusion and management (15 papers), Blood donation and transfusion practices (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Platelet Disorders and Treatments (4 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Hepatology (236 citations), Biochemistry (127 citations), Hematology (158 citations), Management of Technology and Innovation (89 citations) and Epidemiology (226 citations). K. Koerner has collaborated with scholars based in Germany, Switzerland and Nigeria. Frequent co-authors include B. Kubanek, Markus Wiesneth, M. Kerowgan, Willy A. Flegel, A. Wölpl, HP Dienes, Donald Bunjes, Leonardo Bianchi, Norbert Frickhofen and R. Arnold. Their work appears in journals such as Vox Sanguinis, Annals of Hematology, Transfusion, Blood and Biologicals.

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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