Sonja Loges
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Oncology top 1%
- Cancer Cells and Metastasis
Papers in
-
- Angiogenesis and VEGF in Cancer 26
- Oncology 41
- Cancer Cells and Metastasis 11
- CAR-T cell therapy research 7
- Co-authors
- Peter Carmeliet (12 shared papers)Massimiliano Mazzone (3 shared papers)Stefanie Dimmeler (1 shared paper)Jonathan Welti (1 shared paper)Thomas Schmidt (6 shared papers)Philipp J. Hohensinner (1 shared paper)Walter Fiedler (26 shared papers)Melanie Janning (19 shared papers)
- Journals
- Blood (14 papers)Journal of Clinical Oncology (11 papers)Cancers (5 papers)Oncotarget (4 papers)Cancer Research (4 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Sonja Loges
96 papers receiving 5.2k citations
Sonja Loges's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 1.3k
- Oncology 1.8k
- Immunology 874
- Hematology 447
- Genetics 386
Countries citing papers authored by Sonja Loges
This map shows the geographic impact of Sonja Loges'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 Sonja Loges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Loges more than expected).
Fields of papers citing papers by Sonja Loges
This network shows the impact of papers produced by Sonja Loges. 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 Sonja Loges. The network helps show where Sonja Loges may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Loges, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Anti-PlGF Inhibits Growth of VEGF(R)-Inhibitor-Resistant Tumors without Affecting Healthy Vessels Hit paper breakdown → | 2007 | 665 |
| 2 | 2013 | 497 | |
| 3 | 2011 | 396 | |
| 4 | 2009 | 323 | |
| 5 | 2003 | 222 | |
| 6 | 2010 | 219 | |
| 7 | 2009 | 175 | |
| 8 | 2016 | 159 | |
| 9 | 2009 | 143 | |
| 10 | 2014 | 133 | |
| 11 | 2007 | 119 | |
| 12 | 2018 | 98 | |
| 13 | 2020 | 96 | |
| 14 | 2019 | 93 | |
| 15 | 2016 | 91 | |
| 16 | 2004 | 88 | |
| 17 | 2015 | 86 | |
| 18 | 2004 | 83 | |
| 19 | 2005 | 80 | |
| 20 | 2004 | 70 |
About Sonja Loges
Sonja Loges is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 102 papers that have together received 5.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (26 papers), Phagocytosis and Immune Regulation (19 papers), Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (13 papers), Cancer Cells and Metastasis (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Acute Myeloid Leukemia Research (8 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.8k citations), Immunology (874 citations), Hematology (447 citations) and Genetics (386 citations). Sonja Loges has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Peter Carmeliet, Massimiliano Mazzone, Stefanie Dimmeler, Jonathan Welti, Thomas Schmidt, Philipp J. Hohensinner, Walter Fiedler, Melanie Janning, Klaus Pantel and Isabel Ben‐Batalla. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancers, Oncotarget and Cancer Research.
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.