R Laub

809 citations
37 papers · 621 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Dermatological and COVID-19 studies

Papers in

    • Hemophilia Treatment and Research 7
    • Blood groups and transfusion 6
    • Platelet Disorders and Treatments 5

R Laub

35 papers receiving 572 citations

Peers

R Laub
Comparison fields: 5 of 95
  • Hematology 263
  • Dermatology 79
  • Infectious Diseases 146
  • Genetics 76
  • Management of Technology and Innovation 42
Replace J. Leikola with:
J. Leikola Finland
A. Lippin United States
A. Baumgarten United States
L. McMillan United Kingdom
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Kazuoki Osumi Japan
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R Laub relative to J. Leikola Finland J. Leikola's profile →
Citations per field
00.5×10×15.8×
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-authorship network

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
#Work
1 20149
2 201315
3 20119
4 20076
5 20067
6 20049
7 200410
8 200349
9 20022
10 200235
11 200111
12 20004
13 19992
14 19993
15 19974
16 19963
17 198912
18
Intrinsic Resistance To Antibiotics of Salmonellas Cultivated At Acidic Ph and in the Presence of Purified Lysosomal-enzymes
19861
19 198318
20
Immunochemical relatedness among ribosomes of Mycobacteria, Nocardia and Corynebacteria [proceedings].
19781

About R Laub

R Laub is a scholar working on Microbiology, Hematology, Molecular Medicine, Dermatology and Immunology, having authored 37 papers that have together received 621 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (7 papers), Parvovirus B19 Infection Studies (6 papers), Blood groups and transfusion (6 papers), Platelet Disorders and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers) and Dermatological and COVID-19 studies (3 papers). The work is most often cited by research in Hematology (263 citations), Dermatology (79 citations), Infectious Diseases (146 citations), Genetics (76 citations) and Management of Technology and Innovation (42 citations). R Laub has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include M. Di Giambattista, Paul Strengers, J. Vermylen, Marc Jacquemin, Jean‐Marie Saint‐Remy, Jef Arnout, Kathelijne Peerlinck, André Trouet, Robert R. Crichton and Yves‐Jacques Schneider. Their work appears in journals such as Vox Sanguinis, Medical Microbiology and Immunology, Thrombosis and Haemostasis, European Journal of Medicinal Chemistry and Artificial Organs.

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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