David Juhl

32 papers receiving 1.5k citations

David Juhl's Hit Papers

Evaluation of pretest clinical score (4 T's) for the diagnosis of heparin‐induced thrombocytopenia in two clinical settings 2006 · 675 citations
6750+6+13Years since publication200400600

Peers

David Juhl
Comparison fields: 5 of 85
  • Internal Medicine 527
  • Emergency Medicine 537
  • Hematology 563
  • Hepatology 178
  • Surgery 974
Replace Manuela Albisetti with:
Manuela Albisetti Switzerland
Yoram Ben‐Menachem United States
Joel A. Spero United States
Alexander E. Handschin Switzerland
M. Hertz Israel
E D Thomas United States
Ted Eastlund United States
Robert F. Dondelinger Belgium
Jacques Heppell United States
Ercan Kocakoç Türkiye
David Juhl relative to Manuela Albisetti Switzerland Manuela Albisetti's profile →
Citations per field
00.5×10×13.7×
Manuela Albisetti · 1×
Citations per year

Countries citing papers authored by David Juhl

Since Specialization
Citations

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

Fields of papers citing papers by David Juhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluation of pretest clinical score (4 T's) for the diagnosis of heparin‐induced thrombocytopenia in two clinical settings
Hit paper breakdown →
2006675
2 2007179
3 2006130
4 201394
5 201355
6 201948
7 201537
8 201029
9 201826
10 201426
11 201824
12 201323
13 201319
14 200918
15 201518
16 202016
17 201914
18 201113
19 201613
20 201312

About David Juhl

David Juhl is a scholar working on Hematology, Infectious Diseases, Epidemiology, Hepatology and Surgery, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (7 papers), Parvovirus B19 Infection Studies (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Herpesvirus Infections and Treatments (5 papers), Dermatological and COVID-19 studies (4 papers), Platelet Disorders and Treatments (4 papers), Heparin-Induced Thrombocytopenia and Thrombosis (4 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Internal Medicine (527 citations), Emergency Medicine (537 citations), Hematology (563 citations), Hepatology (178 citations) and Surgery (974 citations). David Juhl has collaborated with scholars based in Germany, Israel and Canada. Frequent co-authors include Petra Eichler, Andreas Greinacher, Theodore E. Warkentin, Gregory Lo, Christopher Sigouin, Holger Hennig, Norbert Lübenow, Ulrike Strobel, Antje Wessel and Siegfried Görg. Their work appears in journals such as Transfusion, Transfusion Medicine, Blood Cells Molecules and Diseases, Vox Sanguinis and Journal of Thrombosis and Haemostasis.

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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