Joerg Huelsken
Impact in
Papers in
- Oncology 27
- Cancer Cells and Metastasis 23
-
- Wnt/β-catenin signaling in development and cancer 27
- Cancer-related gene regulation 14
- Developmental Biology and Gene Regulation 4
- Single-cell and spatial transcriptomics 4
- Co-authors
- Walter Birchmeier (17 shared papers)Bettina Erdmann (3 shared papers)Regina Vogel (3 shared papers)Ilaria Malanchi (5 shared papers)George Cotsarelis (1 shared paper)Juergen Behrens (1 shared paper)Albert Santamaria‐Martínez (3 shared papers)Hans‐Anton Lehr (2 shared papers)
- Journals
- Cell (3 papers)Cell stem cell (3 papers)Nature Immunology (2 papers)The Journal of Cell Biology (2 papers)Blood (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Joerg Huelsken
63 papers receiving 10.8k citations
Joerg Huelsken's Hit Papers
Peers
Comparison fields: 5 of 145
- Urology 882
- Oncology 2.6k
- Cancer Research 1.4k
- Molecular Biology 6.6k
- Cell Biology 1.3k
Countries citing papers authored by Joerg Huelsken
This map shows the geographic impact of Joerg Huelsken'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 Joerg Huelsken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Huelsken more than expected).
Fields of papers citing papers by Joerg Huelsken
This network shows the impact of papers produced by Joerg Huelsken. 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 Joerg Huelsken. The network helps show where Joerg Huelsken may publish in the future.
Co-authors
The 25 scholars most cited alongside Joerg Huelsken, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 2 | β-Catenin Controls Hair Follicle Morphogenesis and Stem Cell Differentiation in the Skin Hit paper breakdown → | 2001 | 1187 |
| 3 | Interactions between cancer stem cells and their niche govern metastatic colonization Hit paper breakdown → | 2011 | 1123 |
| 4 | 2000 | 544 | |
| 5 | 2007 | 536 | |
| 6 | 2008 | 501 | |
| 7 | 2001 | 487 | |
| 8 | 2002 | 439 | |
| 9 | 2006 | 334 | |
| 10 | 2010 | 298 | |
| 11 | 2009 | 289 | |
| 12 | 2013 | 277 | |
| 13 | 2003 | 274 | |
| 14 | 2003 | 270 | |
| 15 | 2010 | 262 | |
| 16 | 2004 | 226 | |
| 17 | 2007 | 192 | |
| 18 | 2015 | 182 | |
| 19 | 2003 | 147 | |
| 20 | 2003 | 143 |
About Joerg Huelsken
Joerg Huelsken is a scholar working on Oncology, Molecular Biology, Immunology and Allergy, Cancer Research and Immunology, having authored 64 papers that have together received 11.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (27 papers), Cancer Cells and Metastasis (23 papers), Cancer-related gene regulation (14 papers), Cancer Genomics and Diagnostics (6 papers), Cell Adhesion Molecules Research (5 papers), Developmental Biology and Gene Regulation (4 papers), Single-cell and spatial transcriptomics (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Urology (882 citations), Oncology (2.6k citations), Cancer Research (1.4k citations), Molecular Biology (6.6k citations) and Cell Biology (1.3k citations). Joerg Huelsken has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Walter Birchmeier, Bettina Erdmann, Regina Vogel, Ilaria Malanchi, George Cotsarelis, Juergen Behrens, Albert Santamaria‐Martínez, Hans‐Anton Lehr, Evelyn Susanto and Hong Peng. Their work appears in journals such as Cell, Cell stem cell, Nature Immunology, The Journal of Cell Biology and Blood.
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.