R Laub

777 citations
35 papers · 604 · h-index 12

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Parvovirus B19 Infection Studies

Papers in

    • Hemophilia Treatment and Research 7
    • Blood groups and transfusion 3
    • Platelet Disorders and Treatments 3
    • Parvovirus B19 Infection Studies 6

R Laub

34 papers receiving 558 citations

Peers

R Laub
Comparison fields: 5 of 90
  • Hematology 241
  • Infectious Diseases 121
  • Genetics 68
  • Dermatology 44
  • Management of Technology and Innovation 36
Replace J. Leikola with:
J. Leikola Finland
Thomas Coyle United States
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R Laub relative to J. Leikola Finland J. Leikola's profile →
Citations per field
00.5×11×
J. Leikola · 1×
Citations per year

Countries citing papers authored by R Laub

Since Specialization
Citations

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

Fields of papers citing papers by R Laub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R Laub, 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 R Laub Line = papers co-authored together R Laub 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 1997129
2 198569
3 201051
4 200349
5 200439
6 200236
7 199932
8
Modification of factor VIII in therapeutic concentrates after virus inactivation by solvent-detergent and pasteurisation.
199831
9 198222
10 201315
11 198912
12 200512
13 200111
14 198210
15 200410
16 20049
17 20119
18 20149
19 20067
20 20076

About R Laub

R Laub is a scholar working on Hematology, Infectious Diseases, Immunology, Molecular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 604 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (7 papers), Parvovirus B19 Infection Studies (6 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers), Blood groups and transfusion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Hematology (241 citations), Infectious Diseases (121 citations), Genetics (68 citations), Dermatology (44 citations) and Management of Technology and Innovation (36 citations). R Laub has collaborated with scholars based in Belgium, Germany and France. Frequent co-authors include M. Di Giambattista, Paul Strengers, Marc Jacquemin, J. Vermylen, Kathelijne Peerlinck, Jef Arnout, Jean‐Marie Saint‐Remy, Yves‐Jacques Schneider, Robert R. Crichton and André Trouet. Their work appears in journals such as Vox Sanguinis, Medical Microbiology and Immunology, Thrombosis and Haemostasis, Nuclear Medicine and Biology 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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