Mike Costa
Impact in
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Kruppel-like factors research
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Wnt/β-catenin signaling in development and cancer 11
- Cancer-related gene regulation 7
- PI3K/AKT/mTOR signaling in cancer 2
- CRISPR and Genetic Engineering 2
- Developmental Biology and Gene Regulation 2
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- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Rami N. Hannoush (4 shared papers)Ted Lau (4 shared papers)Paul Polakis (5 shared papers)Cecilia Chiu (3 shared papers)Eric Bourhis (3 shared papers)Stacey C. Yang (1 shared paper)Dorothy French (1 shared paper)Jeremy B. Burton (1 shared paper)
- Journals
- PLoS ONE (4 papers)Toxicologic Pathology (1 paper)Development (1 paper)Nature Chemical Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Mike Costa
16 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.4k
- Cell Biology 267
- Oncology 351
- Aging 16
- Genetics 245
Countries citing papers authored by Mike Costa
This map shows the geographic impact of Mike Costa'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 Mike Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Costa more than expected).
Fields of papers citing papers by Mike Costa
This network shows the impact of papers produced by Mike Costa. 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 Mike Costa. The network helps show where Mike Costa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike Costa, 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 | 302 | |
| 2 | 2013 | 262 | |
| 3 | 2010 | 177 | |
| 4 | 2011 | 176 | |
| 5 | 2010 | 175 | |
| 6 | 2015 | 174 | |
| 7 | 2009 | 142 | |
| 8 | 2011 | 138 | |
| 9 | 1998 | 88 | |
| 10 | 2015 | 70 | |
| 11 | 2008 | 62 | |
| 12 | 2014 | 30 | |
| 13 | 2022 | 16 | |
| 14 | 1992 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 1 |
About Mike Costa
Mike Costa is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Immunology, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (11 papers), Cancer-related gene regulation (7 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Axon Guidance and Neuronal Signaling (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cell Biology (267 citations), Oncology (351 citations), Aging (16 citations) and Genetics (245 citations). Mike Costa has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Rami N. Hannoush, Ted Lau, Paul Polakis, Cecilia Chiu, Eric Bourhis, Stacey C. Yang, Dorothy French, Jeremy B. Burton, Kim Paes and Dennis S. Rice. Their work appears in journals such as PLoS ONE, Toxicologic Pathology, Development, Nature Chemical Biology and Cell 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.