Michael Czerwinski

2.0k citations
27 papers · 1.4k · h-index 17

Impact in

Papers in

    • Renal and related cancers 4
    • Single-cell and spatial transcriptomics 3
    • Hedgehog Signaling Pathway Studies 3
    • Epigenetics and DNA Methylation 3
    • Glycosylation and Glycoproteins Research 2
    • Cancer Cells and Metastasis 8

Michael Czerwinski

26 papers receiving 1.4k citations

Peers

Michael Czerwinski
Comparison fields: 5 of 103
  • Aging 53
  • Oncology 434
  • Otorhinolaryngology 47
  • Genetics 308
  • Molecular Biology 646
Replace Jayaraj Rajagopal with:
Jayaraj Rajagopal United States
Ruth Padmore Canada
Yanmei Qi China
Helen E. Abud Australia
Fuminori Ryu Japan
Charli Kruse Germany
Carlos‐Filipe Pereira Portugal
Maurice Ringuette Canada
David P. Doupé United Kingdom
Jihye Cha South Korea
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Citations per field
00.5×2×4×5.9×
Jayaraj Rajagopal · 1×
Citations per year

Countries citing papers authored by Michael Czerwinski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Czerwinski Line = papers co-authored together Michael Czerwinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 2012137
3 2015114
4 2020108
5 200894
6 201691
7 202090
8 202088
9 202187
10 201181
11 201852
12 201344
13 201142
14 202138
15 201434
16 201221
17 201318
18 201314
19 202214
20 201613

About Michael Czerwinski

Michael Czerwinski is a scholar working on Molecular Biology, Oncology, Surgery, Genetics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Renal and related cancers (4 papers), Single-cell and spatial transcriptomics (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Epigenetics and DNA Methylation (3 papers), Reproductive Biology and Fertility (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Aging (53 citations), Oncology (434 citations), Otorhinolaryngology (47 citations), Genetics (308 citations) and Molecular Biology (646 citations). Michael Czerwinski has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jason R. Spence, Yu-Hwai Tsai, Angeline Wu, Blanche Capel, Katherine D. Walton, Ian A. Glass, Emily M. Holloway, Åsa Kolterud, Deborah L. Gumucio and Santiago Schnell. Their work appears in journals such as Developmental Biology, Head & Neck, Cellular and Molecular Gastroenterology and Hepatology, Developmental Cell and Cell stem cell.

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.

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