Oliver Bechter
Impact in
Papers in
- Oncology 44
- Cancer Immunotherapy and Biomarkers 18
- CAR-T cell therapy research 13
- Cutaneous Melanoma Detection and Management 9
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- Melanoma and MAPK Pathways 10
- Co-authors
- Woodring E. Wright (3 shared papers)Jerry W. Shay (3 shared papers)Patrick Schöffski (17 shared papers)Ying Zou (2 shared papers)Josef Thaler (5 shared papers)Wolfgang Hilbe (5 shared papers)Thomas Kühr (5 shared papers)William H. Walker (1 shared paper)
- Journals
- Journal of Clinical Oncology (13 papers)Cancer Research (6 papers)Melanoma Research (6 papers)Leukemia Research (4 papers)Annals of Oncology (3 papers)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Oliver Bechter
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Oncology 533
- Aging 34
- Genetics 174
- Physiology 351
- Hematology 146
Countries citing papers authored by Oliver Bechter
This map shows the geographic impact of Oliver Bechter'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 Oliver Bechter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Bechter more than expected).
Fields of papers citing papers by Oliver Bechter
This network shows the impact of papers produced by Oliver Bechter. 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 Oliver Bechter. The network helps show where Oliver Bechter may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Bechter, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 151 | |
| 2 | Telomere length and telomerase activity predict survival in patients with B cell chronic lymphocytic leukemia. | 1998 | 107 |
| 3 | 2015 | 95 | |
| 4 | 2021 | 90 | |
| 5 | 2020 | 83 | |
| 6 | 2022 | 76 | |
| 7 | 2002 | 58 | |
| 8 | 2003 | 52 | |
| 9 | 2017 | 45 | |
| 10 | 2017 | 43 | |
| 11 | 2016 | 43 | |
| 12 | 1998 | 42 | |
| 13 | 2013 | 37 | |
| 14 | 2016 | 34 | |
| 15 | 2004 | 34 | |
| 16 | 2004 | 34 | |
| 17 | 2001 | 32 | |
| 18 | 2021 | 31 | |
| 19 | 2017 | 30 | |
| 20 | 2021 | 29 |
About Oliver Bechter
Oliver Bechter is a scholar working on Oncology, Molecular Biology, Immunology, Pathology and Forensic Medicine and Epidemiology, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (18 papers), CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (12 papers), Melanoma and MAPK Pathways (10 papers), Cutaneous Melanoma Detection and Management (9 papers), Telomeres, Telomerase, and Senescence (9 papers), Cancer Genomics and Diagnostics (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Oncology (533 citations), Aging (34 citations), Genetics (174 citations), Physiology (351 citations) and Hematology (146 citations). Oliver Bechter has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Woodring E. Wright, Jerry W. Shay, Patrick Schöffski, Ying Zou, Josef Thaler, Wolfgang Hilbe, Thomas Kühr, William H. Walker, Wolfgang Eisterer and Georg Pall. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Melanoma Research, Leukemia Research and Annals of Oncology.
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.