Marian Mosior
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cell Biology top 5%
- Surgery top 10%
- Co-authors
- Stuart McLaughlinAlexandra C. NewtonEdward A. DennisRichard M. EpandHsiu‐Chiung YangDavid A. SixLaura A. ChungJin Oh Kim
- Topics
- Lipid Membrane Structure and Behavior (11 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)Erythrocyte Function and Pathophysiology (10 papers)
- Partner nations
- United StatesPolandCanada
In The Last Decade
Marian Mosior
30 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 402
- Endocrinology, Diabetes and Metabolism 376
- Cell Biology 310
- Surgery 306
Countries citing papers authored by Marian Mosior
This map shows the geographic impact of Marian Mosior'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 Marian Mosior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Mosior more than expected).
Fields of papers citing papers by Marian Mosior
This network shows the impact of papers produced by Marian Mosior. 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 Marian Mosior. The network helps show where Marian Mosior may publish in the future.
Co-authorship network of co-authors of Marian Mosior
This figure shows the co-authorship network connecting the top 25 collaborators of Marian Mosior. A scholar is included among the top collaborators of Marian Mosior based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marian Mosior. Marian Mosior is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 9 | |
| 3 | 362 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | 103 | |
| 7 | 124 | |
| 8 | 149 | |
| 9 | 43 | |
| 10 | 207 | |
| 11 | 85 | |
| 12 | Critical cell volume and shape of bovine erythrocytes. | 2 |
| 13 | 86 | |
| 14 | The effect of arsenate and vanadate ions on the critical cell volume of bovine erythrocytes. | 5 |
| 15 | 208 | |
| 16 | 118 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 9 |
About Marian Mosior
Marian Mosior is a scholar working on Physiology, Biological Psychiatry and Cell Biology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (11 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Erythrocyte Function and Pathophysiology (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (376 citations), Cell Biology (310 citations) and Molecular Biology (1.3k citations). Marian Mosior has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Stuart McLaughlin, Alexandra C. Newton, Edward A. Dennis, Richard M. Epand, Hsiu‐Chiung Yang, David A. Six, Laura A. Chung, Jin Oh Kim, Anja Köster and John E. Hale. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.