Mark E. Polinkovsky
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Biophysics top 10%
Papers in
-
- Caveolin-1 and cellular processes 3
- Cellular transport and secretion 3
- Biotin and Related Studies 3
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- RNA Research and Splicing 3
- Protein Structure and Dynamics 2
- Co-authors
- Alex Groisman (3 shared papers)Edgar Gutierrez (2 shared papers)Yann Gambin (12 shared papers)Emma Sierecki (10 shared papers)Andre Levchenko (1 shared paper)Kirill A. Alexandrov (8 shared papers)Micha Adler (1 shared paper)Nichole Giles (6 shared papers)
- Journals
- eLife (2 papers)Nature Communications (2 papers)Lab on a Chip (2 papers)The FASEB Journal (2 papers)Biotechnology and Bioengineering (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mark E. Polinkovsky
15 papers receiving 664 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 153
- Biophysics 51
- Molecular Biology 337
- Biomedical Engineering 217
- Structural Biology 7
Countries citing papers authored by Mark E. Polinkovsky
This map shows the geographic impact of Mark E. Polinkovsky'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 Mark E. Polinkovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Polinkovsky more than expected).
Fields of papers citing papers by Mark E. Polinkovsky
This network shows the impact of papers produced by Mark E. Polinkovsky. 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 Mark E. Polinkovsky. The network helps show where Mark E. Polinkovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Polinkovsky, 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 | 2009 | 120 | |
| 2 | 2014 | 113 | |
| 3 | 2009 | 92 | |
| 4 | 2015 | 53 | |
| 5 | 2019 | 51 | |
| 6 | 2016 | 39 | |
| 7 | 2013 | 36 | |
| 8 | 2014 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 28 | |
| 12 | 2014 | 24 | |
| 13 | 2021 | 16 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 1 |
About Mark E. Polinkovsky
Mark E. Polinkovsky is a scholar working on Cell Biology, Molecular Biology, Biophysics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 15 papers that have together received 676 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (3 papers), RNA Research and Splicing (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cellular transport and secretion (3 papers), Biotin and Related Studies (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Protein Structure and Dynamics (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Cell Biology (153 citations), Biophysics (51 citations), Molecular Biology (337 citations), Biomedical Engineering (217 citations) and Structural Biology (7 citations). Mark E. Polinkovsky has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Alex Groisman, Edgar Gutierrez, Yann Gambin, Emma Sierecki, Andre Levchenko, Kirill A. Alexandrov, Micha Adler, Nichole Giles, Sergey Mureev and Wayne A. Johnston. Their work appears in journals such as eLife, Nature Communications, Lab on a Chip, The FASEB Journal and Biotechnology and Bioengineering.
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.