Michael Czerwinski
Impact in
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Renal and related cancers 4
- Epigenetics and DNA Methylation 3
- Oncology 12
- Cancer Cells and Metastasis 11
- Co-authors
- Jason R. Spence (7 shared papers)Yu-Hwai Tsai (6 shared papers)Angeline Wu (6 shared papers)Blanche Capel (3 shared papers)Katherine D. Walton (4 shared papers)Ian A. Glass (4 shared papers)Åsa Kolterud (3 shared papers)Deborah L. Gumucio (3 shared papers)
- Journals
- Developmental Biology (5 papers)Head & Neck (3 papers)Cellular and Molecular Gastroenterology and Hepatology (3 papers)Developmental Cell (2 papers)Molecular Human Reproduction (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Michael Czerwinski
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Aging 75
- Oncology 444
- Otorhinolaryngology 57
- Genetics 302
- Molecular Biology 675
Countries citing papers authored by Michael Czerwinski
This map shows the geographic impact of Michael Czerwinski'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 Michael Czerwinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Czerwinski more than expected).
Fields of papers citing papers by Michael Czerwinski
This network shows the impact of papers produced by Michael Czerwinski. 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 Michael Czerwinski. The network helps show where Michael Czerwinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Czerwinski, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 177 | |
| 2 | 2012 | 127 | |
| 3 | 2015 | 108 | |
| 4 | 2020 | 105 | |
| 5 | 2008 | 92 | |
| 6 | 2016 | 89 | |
| 7 | 2020 | 87 | |
| 8 | 2021 | 80 | |
| 9 | 2020 | 79 | |
| 10 | 2011 | 78 | |
| 11 | 2018 | 50 | |
| 12 | 2011 | 41 | |
| 13 | 2013 | 39 | |
| 14 | 2021 | 36 | |
| 15 | 2007 | 36 | |
| 16 | 2014 | 31 | |
| 17 | 2012 | 18 | |
| 18 | 2013 | 17 | |
| 19 | 2022 | 14 | |
| 20 | 2013 | 14 |
About Michael Czerwinski
Michael Czerwinski is a scholar working on Molecular Biology, Oncology, Surgery, Public Health, Environmental and Occupational Health and Genetics, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Hedgehog Signaling Pathway Studies (4 papers), Renal and related cancers (4 papers), Reproductive Biology and Fertility (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Aging (75 citations), Oncology (444 citations), Otorhinolaryngology (57 citations), Genetics (302 citations) and Molecular Biology (675 citations). Michael Czerwinski has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Jason R. Spence, Yu-Hwai Tsai, Angeline Wu, Blanche Capel, Katherine D. Walton, Ian A. Glass, Åsa Kolterud, Deborah L. Gumucio, Meghan M. Capeling and Santiago Schnell. Their work appears in journals such as Developmental Biology, Head & Neck, Cellular and Molecular Gastroenterology and Hepatology, Developmental Cell and Molecular Human Reproduction.
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.