Ivan Pushkarsky
Impact in
- Biophysics top 10%
-
- Asthma and respiratory diseases
Papers in
-
- 3D Printing in Biomedical Research 5
- Microfluidic and Bio-sensing Technologies 4
- Microfluidic and Capillary Electrophoresis Applications 2
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- Cellular Mechanics and Interactions 7
- Co-authors
- Dino Di Carlo (13 shared papers)Peter Tseng (3 shared papers)Robert Damoiseaux (6 shared papers)Reynold A. Panettieri (3 shared papers)Gaoyuan Cao (3 shared papers)Aydogan Özcan (2 shared papers)Yunbo Liu (2 shared papers)Westbrook M. Weaver (2 shared papers)
- Journals
- Lab on a Chip (5 papers)Scientific Reports (2 papers)British Journal of Pharmacology (2 papers)Assay and Drug Development Technologies (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Ivan Pushkarsky
15 papers receiving 278 citations
Peers
Comparison fields: 5 of 75
- Biophysics 30
- Physiology 79
- Cell Biology 48
- Biomedical Engineering 101
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Ivan Pushkarsky
This map shows the geographic impact of Ivan Pushkarsky'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 Ivan Pushkarsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pushkarsky more than expected).
Fields of papers citing papers by Ivan Pushkarsky
This network shows the impact of papers produced by Ivan Pushkarsky. 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 Ivan Pushkarsky. The network helps show where Ivan Pushkarsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Pushkarsky, 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 | 2014 | 61 | |
| 2 | 2018 | 47 | |
| 3 | 2018 | 42 | |
| 4 | 2016 | 37 | |
| 5 | 2017 | 30 | |
| 6 | 2014 | 26 | |
| 7 | 2015 | 8 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2014 | 4 | |
| 13 | 2014 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 0 |
About Ivan Pushkarsky
Ivan Pushkarsky is a scholar working on Biomedical Engineering, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), 3D Printing in Biomedical Research (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Asthma and respiratory diseases (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Biophysics (30 citations), Physiology (79 citations), Cell Biology (48 citations), Biomedical Engineering (101 citations) and Pulmonary and Respiratory Medicine (66 citations). Ivan Pushkarsky has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Dino Di Carlo, Peter Tseng, Robert Damoiseaux, Reynold A. Panettieri, Gaoyuan Cao, Aydogan Özcan, Yunbo Liu, Westbrook M. Weaver, Onur Mudanyali and Ting‐Wei Su. Their work appears in journals such as Lab on a Chip, Scientific Reports, British Journal of Pharmacology, Assay and Drug Development Technologies and SLAS DISCOVERY.
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.