Jörg Bäsecke
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 2%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 14
- Melanoma and MAPK Pathways 8
- Cancer-related gene regulation 3
- Wnt/β-catenin signaling in development and cancer 3
- Hematology 11
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- James A. McCubrey (22 shared papers)Massimo Libra (20 shared papers)Linda S. Steelman (20 shared papers)Alberto M. Martelli (21 shared papers)Franca Stivala (14 shared papers)Stephen L. Abrams (13 shared papers)William H. Chappell (11 shared papers)Agostino Tafuri (7 shared papers)
- Journals
- Leukemia (8 papers)Cell Cycle (3 papers)British Journal of Haematology (2 papers)Blood (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Jörg Bäsecke
32 papers receiving 4.5k citations
Jörg Bäsecke's Hit Papers
Peers
Comparison fields: 5 of 130
- Hematology 637
- Cancer Research 606
- Oncology 1.0k
- Molecular Biology 2.8k
- Genetics 272
Countries citing papers authored by Jörg Bäsecke
This map shows the geographic impact of Jörg Bäsecke'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 Jörg Bäsecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Bäsecke more than expected).
Fields of papers citing papers by Jörg Bäsecke
This network shows the impact of papers produced by Jörg Bäsecke. 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 Jörg Bäsecke. The network helps show where Jörg Bäsecke may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Bäsecke, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Roles of the Raf/MEK/ERK pathway in cell growth, malignant transformation and drug resistance Hit paper breakdown → | 2006 | 1918 |
| 2 | 2014 | 413 | |
| 3 | 2008 | 320 | |
| 4 | 2013 | 223 | |
| 5 | 2011 | 211 | |
| 6 | 2008 | 197 | |
| 7 | 2011 | 172 | |
| 8 | 2008 | 157 | |
| 9 | 2011 | 142 | |
| 10 | 2008 | 126 | |
| 11 | 2010 | 109 | |
| 12 | 2013 | 76 | |
| 13 | 2007 | 71 | |
| 14 | 2006 | 69 | |
| 15 | 2008 | 67 | |
| 16 | 2002 | 55 | |
| 17 | 2008 | 37 | |
| 18 | 2020 | 35 | |
| 19 | 2010 | 34 | |
| 20 | 2009 | 31 |
About Jörg Bäsecke
Jörg Bäsecke is a scholar working on Molecular Biology, Hematology, Organic Chemistry, Genetics and Pathology and Forensic Medicine, having authored 35 papers that have together received 4.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (14 papers), Acute Myeloid Leukemia Research (8 papers), Melanoma and MAPK Pathways (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Mechanisms and Therapy (3 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Hematology (637 citations), Cancer Research (606 citations), Oncology (1.0k citations), Molecular Biology (2.8k citations) and Genetics (272 citations). Jörg Bäsecke has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include James A. McCubrey, Massimo Libra, Linda S. Steelman, Alberto M. Martelli, Franca Stivala, Stephen L. Abrams, William H. Chappell, Agostino Tafuri, Michèle Milella and Camilla Evangelisti. Their work appears in journals such as Leukemia, Cell Cycle, British Journal of Haematology, Blood and Journal of Cellular Physiology.
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.