Laszlo Leb

641 citations
14 papers · 554 · h-index 11

Impact in

  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

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

Laszlo Leb

13 papers receiving 522 citations

Peers

Laszlo Leb
Comparison fields: 5 of 75
  • Physiology 281
  • Genetics 76
  • Hematology 80
  • Biochemistry 35
  • Cell Biology 89
Replace Hiroshi Ideguchi with:
Hiroshi Ideguchi Japan
Sveinn Guðmundsson Iceland
Demet Nalbant United States
Craig A. Dise United States
M. F. Tsan United States
Jennifer Angell United States
Evelyn Gaynor United States
F. Stanley Porter United States
S S Levinson United States
B. B. Anderson United Kingdom
Laszlo Leb relative to Hiroshi Ideguchi Japan Hiroshi Ideguchi's profile →
Citations per field
00.5×2×3×3.5×
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 23 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 1985239
2 198366
3 198859
4 199739
5 197832
6 198527
7 198325
8 197721
9 198518
10 198713
11 198512
12 20182
13 20161
14 20160

About Laszlo Leb

Laszlo Leb is a scholar working on Hematology, Physiology, Pulmonary and Respiratory Medicine, Cell Biology and Surgery, having authored 14 papers that have together received 554 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Blood properties and coagulation (3 papers), Hemoglobin structure and function (3 papers), Platelet Disorders and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Blood groups and transfusion (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Physiology (281 citations), Genetics (76 citations), Hematology (80 citations), Biochemistry (35 citations) and Cell Biology (89 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, Bertram H. Lubin, Simon Shohet, Daniel T. Chiu, John Merritt, Jason Piotrowski and James McKenney. Their work appears in journals such as British Journal of Haematology, Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Leukocyte Biology and Journal of Clinical Investigation.

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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