Mark Polinkovsky
Impact in
- Cell Biology top 10%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Biophysics top 10%
Papers in ⓘ
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- Cellular transport and secretion 3
- Biotin and Related Studies 3
- Caveolin-1 and cellular processes 3
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- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Alex Groisman (3 shared papers)Edgar Gutierrez (2 shared papers)Yann Gambin (12 shared papers)Emma Sierecki (10 shared papers)Kirill Alexandrov (8 shared papers)Andre Levchenko (1 shared paper)Micha Adler (1 shared paper)Sergey Mureev (4 shared papers)
- Journals
- Nature Communications (2 papers)eLife (2 papers)The FASEB Journal (2 papers)Lab on a Chip (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mark Polinkovsky
15 papers receiving 623 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 140
- Biophysics 48
- Structural Biology 7
- Biomedical Engineering 207
- Molecular Biology 313
Countries citing papers authored by Mark Polinkovsky
This map shows the geographic impact of Mark 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 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 Polinkovsky more than expected).
Fields of papers citing papers by Mark Polinkovsky
This network shows the impact of papers produced by Mark 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 Polinkovsky. The network helps show where Mark Polinkovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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 | 113 | |
| 2 | 2014 | 107 | |
| 3 | 2009 | 88 | |
| 4 | 2015 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2016 | 38 | |
| 7 | 2013 | 34 | |
| 8 | 2014 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2016 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2021 | 12 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 1 |
About Mark Polinkovsky
Mark Polinkovsky is a scholar working on Cell Biology, Biophysics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 15 papers that have together received 627 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Cellular transport and secretion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Biotin and Related Studies (3 papers), Caveolin-1 and cellular processes (3 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Cell Biology (140 citations), Biophysics (48 citations), Structural Biology (7 citations), Biomedical Engineering (207 citations) and Molecular Biology (313 citations). Mark 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, Kirill Alexandrov, Andre Levchenko, Micha Adler, Sergey Mureev, Nichole Giles and Wayne A. Johnston. Their work appears in journals such as Nature Communications, eLife, The FASEB Journal, Lab on a Chip and Scientific Reports.
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.