David Juhl

2.3k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

David Juhl is a scholar working on Hematology, Infectious Diseases and Epidemiology. According to data from OpenAlex, David Juhl has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 11 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in David Juhl's work include Cytomegalovirus and herpesvirus research (7 papers), Parvovirus B19 Infection Studies (6 papers) and Herpesvirus Infections and Treatments (5 papers). David Juhl is often cited by papers focused on Cytomegalovirus and herpesvirus research (7 papers), Parvovirus B19 Infection Studies (6 papers) and Herpesvirus Infections and Treatments (5 papers). David Juhl collaborates with scholars based in Germany, Israel and Canada. David Juhl's co-authors include Andreas Greinacher, Petra Eichler, Theodore E. Warkentin, Christopher Sigouin, Gregory Lo, Holger Hennig, Antje Wessel, Norbert Lübenow, Ulrike Strobel and Siegfried Görg and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Journal of Thrombosis and Haemostasis.

In The Last Decade

David Juhl

32 papers receiving 1.5k citations

Hit Papers

Evaluation of pretest clinical score (4 T's) for the diag... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Juhl Germany 16 974 563 537 527 224 35 1.5k
Manuela Albisetti Switzerland 23 505 0.5× 782 1.4× 90 0.2× 578 1.1× 165 0.7× 92 1.6k
C. A. Lee United Kingdom 24 202 0.2× 1.4k 2.4× 91 0.2× 36 0.1× 331 1.5× 55 2.3k
E D Thomas United States 9 224 0.2× 375 0.7× 49 0.1× 59 0.1× 66 0.3× 11 1.1k
Jo‐Ann I. Sheppard Canada 25 2.4k 2.5× 1.3k 2.2× 1.4k 2.6× 1.4k 2.7× 26 0.1× 58 3.0k
Jacques Heppell United States 19 821 0.8× 110 0.2× 41 0.1× 102 0.2× 27 0.1× 45 1.5k
Ted Eastlund United States 19 386 0.4× 326 0.6× 50 0.1× 22 0.0× 105 0.5× 43 1.4k
Yoram Ben‐Menachem United States 22 1.2k 1.2× 58 0.1× 266 0.5× 112 0.2× 48 0.2× 61 1.6k
M. Hertz Israel 22 1.2k 1.3× 70 0.1× 130 0.2× 70 0.1× 131 0.6× 72 1.6k
Joel A. Spero United States 23 399 0.4× 816 1.4× 33 0.1× 114 0.2× 65 0.3× 51 1.7k
Alexander E. Handschin Switzerland 17 508 0.5× 50 0.1× 43 0.1× 95 0.2× 36 0.2× 28 940

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-authorship network of co-authors of David Juhl

This figure shows the co-authorship network connecting the top 25 collaborators of David Juhl. A scholar is included among the top collaborators of David Juhl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Juhl. David Juhl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vollmer, Tanja, et al.. (2025). Low Transmission Rate of Hepatitis E Virus by Transfusion of Hepatitis E Virus RNA-Positive Blood Products. Transfusion Medicine and Hemotherapy. 53(1). 3–12.
3.
Juhl, David, et al.. (2023). RHD‐negative red cells may be avoided for patients with ambiguous serologic typing for the RHD antigen. Transfusion. 64(2). 281–288. 5 indexed citations
4.
Markewitz, Robert, David Juhl, Siegfried Görg, et al.. (2022). Kinetics of the Antibody Response to Boostering With Three Different Vaccines Against SARS-CoV-2. Frontiers in Immunology. 13. 811020–811020. 8 indexed citations
5.
Länger, Florian, Gili Kenet, Rolf M. Mesters, et al.. (2022). Validation of a predictive model for identifying an increased risk for recurrence in adolescents and young adults with a first provoked thromboembolism. Blood Cells Molecules and Diseases. 94. 102651–102651.
6.
Brockmann, Christian, et al.. (2022). Completing the Donor History Questionnaire before the Donation Visit Can Improve Blood Safety. Transfusion Medicine and Hemotherapy. 49(5). 306–314. 3 indexed citations
8.
Juhl, David & Holger Hennig. (2018). Parvovirus B19: What Is the Relevance in Transfusion Medicine?. Frontiers in Medicine. 5. 4–4. 26 indexed citations
9.
Juhl, David, Matthias Marget, Michael Hallensleben, Siegfried Görg, & Malte Ziemann. (2017). Assignment of C1q-binding HLA antibodies as unacceptable HLA antigens avoids positive CDC-crossmatches prior to transplantation of deceased donor organs. Transplant Immunology. 41. 17–21. 7 indexed citations
10.
Ziemann, Malte, Matthias Heringlake, David Juhl, et al.. (2016). Cytomegalovirus Serostatus as Predictor for Adverse Events After Cardiac Surgery: A Prospective Observational Study. Journal of Cardiothoracic and Vascular Anesthesia. 31(6). 2042–2048. 3 indexed citations
11.
Krause, Manuela, David Juhl, Ralf Junker, et al.. (2016). Impact of gender on safety and efficacy of Rivaroxaban in adolescents & young adults with venous thromboembolism. Thrombosis Research. 148. 145–151. 13 indexed citations
12.
Juhl, David, Johannes K.‐M. Knobloch, Siegfried Görg, & Holger Hennig. (2015). Comparison of Two Test Strategies for Clarification of Reactive Results for Anti-HBc in Blood Donors. Transfusion Medicine and Hemotherapy. 43(1). 37–43. 9 indexed citations
13.
Prüßmann, Jasper N., Hiroshi Koga, Andreas Recke, et al.. (2015). Prevalence of pemphigus and pemphigoid autoantibodies in the general population. Orphanet Journal of Rare Diseases. 10(1). 63–63. 37 indexed citations
14.
Dreier, J & David Juhl. (2013). Autochthonous Hepatitis E Virus Infections: A New Transfusion-Associated Risk?. Transfusion Medicine and Hemotherapy. 41(1). 29–39. 55 indexed citations
15.
Juhl, David, et al.. (2013). Parvovirus B19 Infections and Blood Counts in Blood Donors. Transfusion Medicine and Hemotherapy. 41(1). 52–59. 19 indexed citations
16.
Juhl, David, Jürgen Luhm, Siegfried Görg, Malte Ziemann, & Holger Hennig. (2011). Evaluation of algorithms for the diagnostic assessment and the reentry of blood donors who tested reactive for antibodies against hepatitis B core antigen. Transfusion. 51(7). 1477–1485. 13 indexed citations
17.
Ziemann, Malte, et al.. (2010). The natural course of primary cytomegalovirus infection in blood donors. Vox Sanguinis. 99(1). 24–33. 29 indexed citations
19.
Juhl, David, Petra Eichler, Norbert Lübenow, et al.. (2006). Incidence and clinical significance of anti‐PF4/heparin antibodies of the IgG, IgM, and IgA class in 755 consecutive patient samples referred for diagnostic testing for heparin‐induced thrombocytopenia. European Journal Of Haematology. 76(5). 420–426. 130 indexed citations
20.
Lo, Gregory, David Juhl, Theodore E. Warkentin, et al.. (2006). Evaluation of pretest clinical score (4 T's) for the diagnosis of heparin‐induced thrombocytopenia in two clinical settings. Journal of Thrombosis and Haemostasis. 4(4). 759–765. 675 indexed citations breakdown →

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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