Peter Bialek
- Molecular Biology top 5%
- Muscle Physiology and Disorders 6
- Bone Metabolism and Diseases 5
- TGF-β signaling in diseases 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
- Oncology top 5%
- Rheumatology top 2%
- Cancer Research top 5%
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Animal Genetics and Reproduction 2
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- Pregnancy and preeclampsia studies 1
- Co-authors
- Gérard KarsentyHans CleversDonald A. GlassMillan S. PatelMark M. TaketoAndrew P. McMahonRichard A. LangJong Deok Ahn
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Peter Bialek
17 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Orthopedics and Sports Medicine 316
- Molecular Biology 2.4k
- Oncology 731
- Rheumatology 360
- Cancer Research 349
Countries citing papers authored by Peter Bialek
This map shows the geographic impact of Peter Bialek'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 Peter Bialek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bialek more than expected).
Fields of papers citing papers by Peter Bialek
This network shows the impact of papers produced by Peter Bialek. 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 Peter Bialek. The network helps show where Peter Bialek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Bialek, 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 | 2022 | 1 | |
| 2 | 2018 | 0 | |
| 3 | 2017 | 78 | |
| 4 | 2017 | 69 | |
| 5 | 2016 | 34 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 85 | |
| 8 | 2013 | 55 | |
| 9 | 2011 | 49 | |
| 10 | 2008 | 12 | |
| 11 | 2007 | 16 | |
| 12 | 2006 | 129 | |
| 13 | Canonical Wnt Signaling in Differentiated Osteoblasts Controls Osteoclast Differentiationbreakdown → | 2005 | 1234 |
| 14 | 2005 | 54 | |
| 15 | A Twist Code Determines the Onset of Osteoblast Differentiationbreakdown → | 2004 | 532 |
| 16 | ATF4 Is a Substrate of RSK2 and an Essential Regulator of Osteoblast Biologybreakdown → | 2004 | 653 |
| 17 | 2002 | 102 | |
| 18 | 2000 | 3 |
About Peter Bialek
Peter Bialek is a scholar working on Molecular Biology, Rheumatology, Genetics, Geography, Planning and Development and Genetics, having authored 18 papers that have together received 3.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Bone Metabolism and Diseases (5 papers), TGF-β signaling in diseases (2 papers), RNA modifications and cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Animal Genetics and Reproduction (2 papers), Pregnancy and preeclampsia studies (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (316 citations), Molecular Biology (2.4k citations), Oncology (731 citations), Rheumatology (360 citations) and Cancer Research (349 citations). Peter Bialek has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gérard Karsenty, Hans Clevers, Donald A. Glass, Millan S. Patel, Mark M. Taketo, Andrew P. McMahon, Richard A. Lang, Jong Deok Ahn, Michael W. Starbuck and Fanxin Long. Their work appears in journals such as Endocrinology, Bone, Developmental Cell, Journal of Dental Research and 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.