Laszlo Leb

639 citations
14 papers · 532 · h-index 11

Impact in

  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology
  • Hematology top 10%
    • Blood groups and transfusion

Papers in

    • Platelet Disorders and Treatments 3
    • Blood groups and transfusion 2
    • Erythrocyte Function and Pathophysiology 6

Laszlo Leb

13 papers receiving 503 citations

Peers

Laszlo Leb
Comparison fields: 5 of 79
  • Physiology 277
  • Hematology 84
  • Genetics 77
  • Biochemistry 36
  • Cell Biology 87
Replace Hiroshi Ideguchi with:
Hiroshi Ideguchi Japan
U.J. Dumaswala United States
Demet Nalbant United States
Peter Dreischer Germany
Ruth Cohen United States
Christine Weyman United Kingdom
M. F. Tsan United States
Evelyn Gaynor United States
S S Levinson United States
Yew Koon Lim Singapore
Laszlo Leb relative to Hiroshi Ideguchi Japan Hiroshi Ideguchi's profile →
Citations per field
00.5×3.6×
Hiroshi Ideguchi · 1×
Citations per year

Countries citing papers authored by Laszlo Leb

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Leb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Laszlo Leb, 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 Laszlo Leb Line = papers co-authored together Laszlo Leb links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1985232
2 198364
3 198854
4 199739
5 197833
6 198324
7 198523
8 197720
9 198517
10 198712
11 198511
12 20182
13 20161
14 20160

About Laszlo Leb

Laszlo Leb is a scholar working on Hematology, Physiology, Surgery, Pulmonary and Respiratory Medicine and Cell Biology, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Platelet Disorders and Treatments (3 papers), Blood properties and coagulation (3 papers), Hemoglobin structure and function (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Blood groups and transfusion (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). The work is most often cited by research in Physiology (277 citations), Hematology (84 citations), Genetics (77 citations), Biochemistry (36 citations) and Cell Biology (87 citations). Laszlo Leb has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Normand L. Fortier, L. Michael Snyder, Narla Mohandas, Jerome B. Jacobs, Daniel T. Chiu, Bertram H. Lubin, Simon Shohet, John Merritt, Jason Piotrowski and Harland E. Sheerin. Their work appears in journals such as British Journal of Haematology, Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Annals of Thoracic Surgery and Journal of Leukocyte Biology.

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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