Oliver Staak
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 6
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- Monoclonal and Polyclonal Antibodies Research 4
- Radiopharmaceutical Chemistry and Applications 2
- Co-authors
- Andreas Engert (5 shared papers)Volker Diehl (4 shared papers)Peter Borchmann (3 shared papers)Roland Schnell (3 shared papers)Hinrich P. Hansen (4 shared papers)Victor Gheţie (1 shared paper)Ellen S. Vitetta (1 shared paper)Christine Schwartz (1 shared paper)
- Journals
- Nuklearmedizin - NuclearMedicine (2 papers)Phytomedicine (1 paper)Blood (1 paper)European Journal Of Haematology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Oliver Staak
8 papers receiving 300 citations
Peers
Comparison fields: 5 of 41
- Pathology and Forensic Medicine 205
- Genetics 73
- Oncology 147
- Biotechnology 40
- Immunology 94
Countries citing papers authored by Oliver Staak
This map shows the geographic impact of Oliver Staak'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 Staak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Staak more than expected).
Fields of papers citing papers by Oliver Staak
This network shows the impact of papers produced by Oliver Staak. 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 Staak. The network helps show where Oliver Staak may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Staak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Phase I study with an anti-CD30 ricin A-chain immunotoxin (Ki-4.dgA) in patients with refractory CD30+ Hodgkin's and non-Hodgkin's lymphoma. | 2002 | 112 |
| 2 | 2003 | 78 | |
| 3 | 2005 | 48 | |
| 4 | 2005 | 29 | |
| 5 | 2006 | 24 | |
| 6 | 2010 | 8 | |
| 7 | Entwicklung von Anti-CD30-Radioimmunkonstrukten zur Behandlung des Hodgkin-Lymphoms – Studien an Zellkulturen und Tieren | 2010 | 6 |
| 8 | 1996 | 6 |
About Oliver Staak
Oliver Staak is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Immunology and Oncology, having authored 8 papers that have together received 311 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Viral-associated cancers and disorders (2 papers), Transgenic Plants and Applications (2 papers) and Plant Parasitism and Resistance (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (205 citations), Genetics (73 citations), Oncology (147 citations), Biotechnology (40 citations) and Immunology (94 citations). Oliver Staak has collaborated with scholars based in Germany and United States. Frequent co-authors include Andreas Engert, Volker Diehl, Peter Borchmann, Roland Schnell, Hinrich P. Hansen, Victor Gheţie, Ellen S. Vitetta, Christine Schwartz, John Schindler and Claudia Gottstein. Their work appears in journals such as Nuklearmedizin - NuclearMedicine, Phytomedicine, Blood, European Journal Of Haematology 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.