Andre Levchenko
Impact in
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions
- Cancer Research top 0.5%
- NF-κB Signaling Pathways
Papers in
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- Gene Regulatory Network Analysis 34
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- 3D Printing in Biomedical Research 40
- Microfluidic and Bio-sensing Technologies 16
- Co-authors
- Deok‐Ho Kim (28 shared papers)Alexander Hoffmann (5 shared papers)Raymond Cheong (21 shared papers)David Baltimore (1 shared paper)Martin Scott (1 shared paper)Kshitiz Gupta (29 shared papers)Pablo A. Iglesias (7 shared papers)Christopher L. Smith (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (17 papers)Science Signaling (6 papers)Lab on a Chip (6 papers)Integrative Biology (6 papers)Science (5 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Andre Levchenko
170 papers receiving 13.5k citations
Andre Levchenko's Hit Papers
Peers
Comparison fields: 5 of 176
- Cell Biology 2.6k
- Cancer Research 1.7k
- Biophysics 619
- Molecular Biology 6.2k
- Biomedical Engineering 4.0k
Countries citing papers authored by Andre Levchenko
This map shows the geographic impact of Andre Levchenko'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 Andre Levchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Levchenko more than expected).
Fields of papers citing papers by Andre Levchenko
This network shows the impact of papers produced by Andre Levchenko. 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 Andre Levchenko. The network helps show where Andre Levchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Andre Levchenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The IκB-NF-κB Signaling Module: Temporal Control and Selective Gene Activation Hit paper breakdown → | 2002 | 1488 |
| 2 | Matrix nanotopography as a regulator of cell function Hit paper breakdown → | 2012 | 480 |
| 3 | 2009 | 477 | |
| 4 | 2000 | 387 | |
| 5 | 2011 | 385 | |
| 6 | 2002 | 332 | |
| 7 | 2009 | 328 | |
| 8 | 2019 | 326 | |
| 9 | 2009 | 298 | |
| 10 | 2005 | 279 | |
| 11 | 2007 | 238 | |
| 12 | 2005 | 221 | |
| 13 | 2012 | 215 | |
| 14 | 2012 | 202 | |
| 15 | 2013 | 201 | |
| 16 | 2016 | 170 | |
| 17 | 2010 | 165 | |
| 18 | 2013 | 161 | |
| 19 | 2005 | 154 | |
| 20 | 2009 | 149 |
About Andre Levchenko
Andre Levchenko is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Oncology and Cellular and Molecular Neuroscience, having authored 173 papers that have together received 13.6k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (40 papers), Cellular Mechanics and Interactions (39 papers), Gene Regulatory Network Analysis (34 papers), Microfluidic and Bio-sensing Technologies (16 papers), Cell Image Analysis Techniques (11 papers), Cancer Cells and Metastasis (10 papers), Mesenchymal stem cell research (9 papers) and Axon Guidance and Neuronal Signaling (9 papers). The work is most often cited by research in Cell Biology (2.6k citations), Cancer Research (1.7k citations), Biophysics (619 citations), Molecular Biology (6.2k citations) and Biomedical Engineering (4.0k citations). Andre Levchenko has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Deok‐Ho Kim, Alexander Hoffmann, Raymond Cheong, David Baltimore, Martin Scott, Kshitiz Gupta, Pablo A. Iglesias, Christopher L. Smith, Ilya Nemenman and Jehoshua Bruck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Signaling, Lab on a Chip, Integrative Biology and Science.
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.