S. Öhl
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Genomic variations and chromosomal abnormalities
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Peter Lichter (12 shared papers)Stefan Joos (7 shared papers)Gunhild Mechtersheimer (6 shared papers)Lorenz Trümper (2 shared papers)Peter Mӧller (2 shared papers)Stephan Stilgenbauer (6 shared papers)Martina Seiffert (6 shared papers)Frederike von Bonin (1 shared paper)
- Journals
- Blood (2 papers)Genes Chromosomes and Cancer (2 papers)Cancers (2 papers)Cytogenetic and Genome Research (1 paper)Leukemia (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
S. Öhl
21 papers receiving 812 citations
Peers
Comparison fields: 5 of 67
- Genetics 268
- Pathology and Forensic Medicine 376
- Oncology 219
- Immunology 174
- Cancer Research 108
Countries citing papers authored by S. Öhl
This map shows the geographic impact of S. Öhl'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 S. Öhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Öhl more than expected).
Fields of papers citing papers by S. Öhl
This network shows the impact of papers produced by S. Öhl. 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 S. Öhl. The network helps show where S. Öhl may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Öhl, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genomic imbalances including amplification of the tyrosine kinase gene JAK2 in CD30+ Hodgkin cells. | 2000 | 226 |
| 2 | 2002 | 186 | |
| 3 | 2013 | 64 | |
| 4 | 2010 | 59 | |
| 5 | 1999 | 59 | |
| 6 | 2000 | 42 | |
| 7 | 2006 | 38 | |
| 8 | 2005 | 32 | |
| 9 | 2018 | 32 | |
| 10 | 2020 | 25 | |
| 11 | 2000 | 14 | |
| 12 | 2023 | 13 | |
| 13 | [Analysis of chromosome copy number changes in leiomyosarcoma through molecular cytogenetic methods]. | 1998 | 13 |
| 14 | 2019 | 7 | |
| 15 | 1986 | 7 | |
| 16 | 1976 | 6 | |
| 17 | 1999 | 3 | |
| 18 | 1980 | 2 | |
| 19 | 1980 | 1 | |
| 20 | 1980 | 1 |
About S. Öhl
S. Öhl is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Hematology and Oncology, having authored 22 papers that have together received 831 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Tumors and Oncological Cases (3 papers), Acute Myeloid Leukemia Research (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Genetics (268 citations), Pathology and Forensic Medicine (376 citations), Oncology (219 citations), Immunology (174 citations) and Cancer Research (108 citations). S. Öhl has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Peter Lichter, Stefan Joos, Gunhild Mechtersheimer, Lorenz Trümper, Peter Mӧller, Stephan Stilgenbauer, Martina Seiffert, Frederike von Bonin, Martin Bentz and Michael Pfreundschuh. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, Cancers, Cytogenetic and Genome Research and Leukemia.
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.