Michael Storek

814 citations
32 papers · 451 · h-index 12

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
  • Immunology top 10%
    • Complement system in diseases

Papers in

    • Blood groups and transfusion 15
    • Platelet Disorders and Treatments 3
    • Complement system in diseases 13
    • Immunodeficiency and Autoimmune Disorders 3

Michael Storek

31 papers receiving 440 citations

Peers

Michael Storek
Comparison fields: 5 of 77
  • Hematology 155
  • Immunology 222
  • Nephrology 66
  • Physiology 30
  • Medical Laboratory Technology 7
Replace Margot Revel with:
Margot Revel France
Tsukio Masegi Japan
Petr Kosztyu Czechia
Kari L. Murad United States
Colin A. Kretz Canada
Tomio Yamazaki Japan
Sudong Zhang China
Jennifer N. Saultz United States
Klaus Mayer Germany
Linlin Luo China
Michael Storek relative to Margot Revel France Margot Revel's profile →
Citations per field
00.5×10.5×
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Citations per year

Countries citing papers authored by Michael Storek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Storek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Storek, 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 Michael Storek Line = papers co-authored together Michael Storek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 202266
3 200939
4 201324
5 201523
6 201821
7 202020
8 201718
9 201015
10 200213
11 202312
12 202312
13 201210
14 20208
15 20238
16 20228
17 20128
18 20028
19 20216
20 20235

About Michael Storek

Michael Storek is a scholar working on Hematology, Immunology, Physiology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 32 papers that have together received 451 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Complement system in diseases (13 papers), Erythrocyte Function and Pathophysiology (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Platelet Disorders and Treatments (3 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Hematology (155 citations), Immunology (222 citations), Nephrology (66 citations), Physiology (30 citations) and Medical Laboratory Technology (7 citations). Michael Storek has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include V. Michael Holers, Ante S. Lundberg, Masha Fridkis‐Hareli, Antonio M. Risitano, Christopher Horvath, István Mazsaroff, Kamil Kuča, Ilene C. Weitz, Gregory L. Verdine and Shirley D’Sa. Their work appears in journals such as Blood, Journal of Molecular Biology, Molecular Immunology, Cancer Research and Scientific Reports.

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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