Michael C. Chicka

1.4k citations
19 papers · 943 · h-index 13

Impact in

    • Cellular transport and secretion
  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology

Papers in

    • Lipid Membrane Structure and Behavior 7
    • Ion Transport and Channel Regulation 2
    • Ion channel regulation and function 2
    • Platelet Disorders and Treatments 6
    • Acute Myeloid Leukemia Research 3
    • Blood groups and transfusion 2

Michael C. Chicka

19 papers receiving 936 citations

Peers

Michael C. Chicka
Comparison fields: 5 of 71
  • Cell Biology 534
  • Physiology 120
  • Hematology 134
  • Cellular and Molecular Neuroscience 212
  • Molecular Biology 653
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Y Nemoto Japan
Danièle Thiersé France
Ulrich Rümenapp Germany
Yvonne Kong United States
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Michael C. Chicka

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Chicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008156
2 2006142
3 201093
4 200289
5 201388
6 200388
7 200565
8 200856
9 200444
10 200936
11 201327
12 201724
13 201520
14 20206
15 20143
16 20172
17 20152
18 20191
19 20181

About Michael C. Chicka

Michael C. Chicka is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Genetics, having authored 19 papers that have together received 943 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (7 papers), Platelet Disorders and Treatments (6 papers), Acute Myeloid Leukemia Research (3 papers), Ion Transport and Channel Regulation (2 papers), Ion channel regulation and function (2 papers), Blood groups and transfusion (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Cell Biology (534 citations), Physiology (120 citations), Hematology (134 citations), Cellular and Molecular Neuroscience (212 citations) and Molecular Biology (653 citations). Michael C. Chicka has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Edwin R. Chapman, Emanuel E. Strehler, Akhil Bhalla, Huisheng Liu, Enfu Hui, Ward C. Tucker, Steven J. DeMarco, Sidney W. Whiteheart, David A. Richards and Qiansheng Ren. Their work appears in journals such as Journal of Biological Chemistry, Blood, Nature Structural & Molecular Biology, Pediatric Blood & Cancer and Molecular Biology of the Cell.

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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