Michael C. Chicka
Impact in
- Cell Biology top 2%
- 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 channel regulation and function 2
- Hematology 10
- Platelet Disorders and Treatments 6
- Acute Myeloid Leukemia Research 3
- Blood groups and transfusion 2
- Co-authors
- Edwin R. Chapman (7 shared papers)Emanuel E. Strehler (2 shared papers)Akhil Bhalla (3 shared papers)Enfu Hui (1 shared paper)Huisheng Liu (1 shared paper)Ward C. Tucker (1 shared paper)Steven J. DeMarco (1 shared paper)Sidney W. Whiteheart (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Blood (4 papers)Pediatric Blood & Cancer (2 papers)Nature Structural & Molecular Biology (2 papers)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesPakistan
In The Last Decade
Michael C. Chicka
19 papers receiving 927 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 543
- Physiology 121
- Cellular and Molecular Neuroscience 217
- Hematology 130
- Molecular Biology 669
Countries citing papers authored by Michael C. Chicka
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 156 | |
| 2 | 2006 | 141 | |
| 3 | 2010 | 91 | |
| 4 | 2002 | 90 | |
| 5 | 2003 | 88 | |
| 6 | 2013 | 87 | |
| 7 | 2005 | 64 | |
| 8 | 2008 | 56 | |
| 9 | 2004 | 42 | |
| 10 | 2009 | 36 | |
| 11 | 2013 | 26 | |
| 12 | 2017 | 23 | |
| 13 | 2015 | 19 | |
| 14 | 2020 | 6 | |
| 15 | 2014 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 |
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 934 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), Pancreatic function and diabetes (2 papers), Ion channel regulation and function (2 papers), Blood groups and transfusion (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Cell Biology (543 citations), Physiology (121 citations), Cellular and Molecular Neuroscience (217 citations), Hematology (130 citations) and Molecular Biology (669 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, Enfu Hui, Huisheng Liu, 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, Pediatric Blood & Cancer, Nature Structural & Molecular Biology 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.