Charles E. de Bock
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Wnt/β-catenin signaling in development and cancer 6
- Epigenetics and DNA Methylation 6
-
- Acute Lymphoblastic Leukemia research 14
- Co-authors
- Rick F. Thorne (18 shared papers)Yao Wang (3 shared papers)Xu Dong Zhang (9 shared papers)Elham Sadeqzadeh (7 shared papers)Jan Cools (17 shared papers)Sofie Demeyer (13 shared papers)Peter Hersey (5 shared papers)Timothy J. Molloy (5 shared papers)
- Journals
- Leukemia (6 papers)Blood (5 papers)FEBS Letters (3 papers)HemaSphere (3 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- AustraliaBelgiumUnited States
In The Last Decade
Charles E. de Bock
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 433
- Hematology 262
- Cell Biology 284
- Molecular Biology 1.1k
- Oncology 432
Countries citing papers authored by Charles E. de Bock
This map shows the geographic impact of Charles E. de Bock'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 Charles E. de Bock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. de Bock more than expected).
Fields of papers citing papers by Charles E. de Bock
This network shows the impact of papers produced by Charles E. de Bock. 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 Charles E. de Bock. The network helps show where Charles E. de Bock may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles E. de Bock, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 148 | |
| 2 | 2003 | 123 | |
| 3 | 2008 | 115 | |
| 4 | 2017 | 110 | |
| 5 | 2014 | 109 | |
| 6 | 2013 | 82 | |
| 7 | 2019 | 77 | |
| 8 | 2018 | 70 | |
| 9 | 2010 | 68 | |
| 10 | 2017 | 64 | |
| 11 | 2011 | 61 | |
| 12 | 2011 | 60 | |
| 13 | 2014 | 56 | |
| 14 | 2021 | 44 | |
| 15 | 2001 | 43 | |
| 16 | 2018 | 42 | |
| 17 | 2011 | 41 | |
| 18 | 2016 | 40 | |
| 19 | 2020 | 40 | |
| 20 | The neural cell adhesion molecule. | 2000 | 38 |
About Charles E. de Bock
Charles E. de Bock is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Cell Biology and Oncology, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (14 papers), Acute Myeloid Leukemia Research (9 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Epigenetics and DNA Methylation (6 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Cancer Research (433 citations), Hematology (262 citations), Cell Biology (284 citations), Molecular Biology (1.1k citations) and Oncology (432 citations). Charles E. de Bock has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Rick F. Thorne, Yao Wang, Xu Dong Zhang, Elham Sadeqzadeh, Jan Cools, Sofie Demeyer, Peter Hersey, Timothy J. Molloy, Ellen Geerdens and Olga Gielen. Their work appears in journals such as Leukemia, Blood, FEBS Letters, HemaSphere and Anti-Cancer Drugs.
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.