Ester Piek
- Immunology and Allergy top 2%
- Molecular Biology top 2%
- TGF-β signaling in diseases 25
- Connective Tissue Growth Factor Research 6
- Kruppel-like factors research 6
- Bone Metabolism and Diseases 5
- Gene expression and cancer classification 4
- Epigenetics and DNA Methylation 3
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 4
- Nephrology top 2%
- Cancer Research top 5%
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- Mesenchymal stem cell research 4
- Co-authors
- Peter ten DijkeCarl‐Henrik HeldinErwin P. BöttingerAnita B. RobertsYaw-Ching YangJiří ZavadilAristidis MoustakasAkira Kurisaki
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Cellular Physiology (2 papers)Bone (2 papers)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Ester Piek
41 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology and Allergy 309
- Molecular Biology 3.3k
- Oncology 998
- Nephrology 252
- Cancer Research 491
Countries citing papers authored by Ester Piek
This map shows the geographic impact of Ester Piek'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 Ester Piek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ester Piek more than expected).
Fields of papers citing papers by Ester Piek
This network shows the impact of papers produced by Ester Piek. 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 Ester Piek. The network helps show where Ester Piek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ester Piek, 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 | The effects of an educational meeting and subsequent computer reminders on the ordering of laboratory tests by rheumatologists: an interrupted time series analysis. | 2017 | 2 |
| 2 | 2011 | 80 | |
| 3 | 2010 | 10 | |
| 4 | 2009 | 36 | |
| 5 | 2009 | 80 | |
| 6 | 2008 | 2 | |
| 7 | 2007 | 8 | |
| 8 | 2007 | 15 | |
| 9 | 2004 | 170 | |
| 10 | 2003 | 316 | |
| 11 | 2001 | 363 | |
| 12 | 2001 | 50 | |
| 13 | 2001 | 86 | |
| 14 | 2001 | 82 | |
| 15 | 1999 | 71 | |
| 16 | 1999 | 47 | |
| 17 | 1999 | 38 | |
| 18 | 1998 | 6 | |
| 19 | 1998 | 137 | |
| 20 | 1996 | 43 |
About Ester Piek
Ester Piek is a scholar working on Family Practice, Anatomy and Molecular Biology, having authored 42 papers that have together received 4.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (25 papers), Connective Tissue Growth Factor Research (6 papers), Kruppel-like factors research (6 papers), Bone Metabolism and Diseases (5 papers), Mesenchymal stem cell research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Gene expression and cancer classification (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Immunology and Allergy (309 citations), Molecular Biology (3.3k citations) and Oncology (998 citations). Ester Piek has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Peter ten Dijke, Carl‐Henrik Heldin, Erwin P. Böttinger, Anita B. Roberts, Yaw-Ching Yang, Jiří Zavadil, Aristidis Moustakas, Akira Kurisaki, Susanne Kneitz and Dan Liang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Physiology, Bone, International Journal of Cancer and The FASEB Journal.
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.