J Schwaller
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- Cancer-related Molecular Pathways
Papers in
- Oncology 6
- Cancer-related Molecular Pathways 4
- Viral-associated cancers and disorders 2
-
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- A Tobler (6 shared papers)Gisela Niklaus (3 shared papers)M.F. Fey (2 shared papers)H. Phillip Koeffler (1 shared paper)Pius Loetscher (1 shared paper)Stefan Nagel (1 shared paper)MF Fey (4 shared papers)Miller Cw (1 shared paper)
- Journals
- Blood (4 papers)Pathobiology (1 paper)British Journal of Haematology (1 paper)Journal of Clinical Investigation (1 paper)European Journal Of Haematology (1 paper)
- Partner nations
- SwitzerlandUnited StatesTaiwan
In The Last Decade
J Schwaller
9 papers receiving 370 citations
Peers
Comparison fields: 5 of 50
- Hematology 70
- Oncology 156
- Cancer Research 73
- Pathology and Forensic Medicine 82
- Genetics 38
Countries citing papers authored by J Schwaller
This map shows the geographic impact of J Schwaller'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 J Schwaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Schwaller more than expected).
Fields of papers citing papers by J Schwaller
This network shows the impact of papers produced by J Schwaller. 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 J Schwaller. The network helps show where J Schwaller may publish in the future.
Co-authors
The 25 scholars most cited alongside J Schwaller, 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 | 1995 | 129 | |
| 2 | 1995 | 106 | |
| 3 | 1996 | 60 | |
| 4 | 1995 | 27 | |
| 5 | 1997 | 14 | |
| 6 | 2001 | 13 | |
| 7 | 1997 | 12 | |
| 8 | 2003 | 10 | |
| 9 | 1996 | 7 | |
| 10 | EML1-ABL1 is activated by coiled coil mediated oligomerization and induces T-cell acute lymphoblastic or chronic myeloid leukemia in a mouse bone marrow transplant model | 2007 | 0 |
About J Schwaller
J Schwaller is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 378 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Epigenetics and DNA Methylation (2 papers), Viral-associated cancers and disorders (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (70 citations), Oncology (156 citations), Cancer Research (73 citations), Pathology and Forensic Medicine (82 citations) and Genetics (38 citations). J Schwaller has collaborated with scholars based in Switzerland, United States and Taiwan. Frequent co-authors include A Tobler, Gisela Niklaus, M.F. Fey, H. Phillip Koeffler, Pius Loetscher, Stefan Nagel, MF Fey, Miller Cw, JW Janssen and Martin Zimmermann. Their work appears in journals such as Blood, Pathobiology, British Journal of Haematology, Journal of Clinical Investigation and European Journal Of Haematology.
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.