Jiri Palek

7.1k citations
132 papers · 6.2k · h-index 50

Impact in

  • Physiology top 0.5%
    • Erythrocyte Function and Pathophysiology
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Erythrocyte Function and Pathophysiology 97
    • Hemoglobinopathies and Related Disorders 6

Jiri Palek

127 papers receiving 5.8k citations

Peers

Jiri Palek
Comparison fields: 5 of 82
  • Physiology 2.7k
  • Genetics 383
  • Biochemistry 85
  • Hematology 211
  • Cell Biology 168
Replace Yuichi Takakuwa with:
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Jiri Palek relative to Yuichi Takakuwa Japan Yuichi Takakuwa's profile →
Citations per field
00.5×2×4×6×7.7×
Yuichi Takakuwa · 1×
Citations per year

Countries citing papers authored by Jiri Palek

Since Specialization
Citations

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

Fields of papers citing papers by Jiri Palek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987339
2 1977243
3 1991239
4
Red cell membrane skeletal defects in hereditary and acquired hemolytic anemias.
1983145
5 1990140
6 1996135
7 1981134
8 1980116
9 1996114
10 1990107
11
Genetics of the red cell membrane skeleton.
1990106
12 1987105
13 1977104
14 198493
15 199091
16 198290
17
Clinical expression and laboratory detection of red blood cell membrane protein mutations.
199390
18 197489
19 199288
20 198587

About Jiri Palek

Jiri Palek is a scholar working on Physiology, Genetics, Hematology, Public Health, Environmental and Occupational Health and Biochemistry, having authored 132 papers that have together received 6.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (97 papers), Hemoglobinopathies and Related Disorders (6 papers), Malaria Research and Control (4 papers), Lipid Membrane Structure and Behavior (3 papers), Platelet Disorders and Treatments (3 papers), Management of metastatic bone disease (1 paper), Blood transfusion and management (1 paper) and Redox biology and oxidative stress (1 paper). The work is most often cited by research in Physiology (2.7k citations), Genetics (383 citations), Biochemistry (85 citations), Hematology (211 citations) and Cell Biology (168 citations). Jiri Palek has collaborated with scholars based in United States, Czechia and South Africa. Frequent co-authors include SC Liu, Laura H. Derick, Shih‐Chun Liu, Petr Jarolı́m, Manjit Hanspal, Jack Lawler, Josef T. Prchal, Fabian J. Lionetti, Hani Hassoun and V Brabec. Their work appears in journals such as Blood, Journal of Clinical Investigation, British Journal of Haematology, Proceedings of the National Academy of Sciences and Nature.

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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