Juerg Schwaller
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 42
- Acute Myeloid Leukemia Research 27
- Chronic Myeloid Leukemia Treatments 10
- Multiple Myeloma Research and Treatments 6
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- Protein Degradation and Inhibitors 16
- Epigenetics and DNA Methylation 7
- Ubiquitin and proteasome pathways 6
- Co-authors
- Stefan Knapp (9 shared papers)Christelle Gasser (5 shared papers)Vanda Pogačić (5 shared papers)Julie Frantsve‐Hawley (3 shared papers)D. Gary Gilliland (4 shared papers)O. Fedorov (4 shared papers)Alex N. Bullock (4 shared papers)Ifor R. Williams (5 shared papers)
- Journals
- Blood (15 papers)Leukemia (6 papers)Haematologica (4 papers)Cancer Research (4 papers)HemaSphere (4 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Juerg Schwaller
65 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 97
- Hematology 1.2k
- Genetics 528
- Pathology and Forensic Medicine 826
- Oncology 1.1k
- Immunology 691
Countries citing papers authored by Juerg Schwaller
This map shows the geographic impact of Juerg 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 Juerg Schwaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juerg Schwaller more than expected).
Fields of papers citing papers by Juerg Schwaller
This network shows the impact of papers produced by Juerg 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 Juerg Schwaller. The network helps show where Juerg Schwaller may publish in the future.
Co-authors
The 25 scholars most cited alongside Juerg 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 305 | |
| 2 | 2007 | 279 | |
| 3 | 2000 | 254 | |
| 4 | 2009 | 218 | |
| 5 | 1998 | 212 | |
| 6 | 2013 | 195 | |
| 7 | 2007 | 169 | |
| 8 | 2016 | 152 | |
| 9 | 2001 | 145 | |
| 10 | 2009 | 128 | |
| 11 | 2006 | 120 | |
| 12 | 2011 | 96 | |
| 13 | 2001 | 94 | |
| 14 | 1999 | 93 | |
| 15 | 2001 | 92 | |
| 16 | 2006 | 90 | |
| 17 | 2016 | 85 | |
| 18 | 2004 | 73 | |
| 19 | 2009 | 67 | |
| 20 | 2006 | 67 |
About Juerg Schwaller
Juerg Schwaller is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 66 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (27 papers), Protein Degradation and Inhibitors (16 papers), Cancer Mechanisms and Therapy (10 papers), Chronic Myeloid Leukemia Treatments (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (7 papers), Ubiquitin and proteasome pathways (6 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (528 citations), Pathology and Forensic Medicine (826 citations), Oncology (1.1k citations) and Immunology (691 citations). Juerg Schwaller has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Stefan Knapp, Christelle Gasser, Vanda Pogačić, Julie Frantsve‐Hawley, D. Gary Gilliland, O. Fedorov, Alex N. Bullock, Ifor R. Williams, Jon C. Aster and L. Brault. Their work appears in journals such as Blood, Leukemia, Haematologica, Cancer Research and HemaSphere.
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.