Jürg Schwaller
- Hematology top 2%
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Immunology top 10%
- Rheumatology top 5%
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- Protein Degradation and Inhibitors 3
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- Cancer Mechanisms and Therapy 4
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- Peptidase Inhibition and Analysis 4
- Cytokine Signaling Pathways and Interactions 2
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- Sinusitis and nasal conditions 2
- Co-authors
- Radek C. SkodaRenate LooserHui Hao-ShenMarta SobasRalph TiedtStephan DirnhoferDaniel Martín-PérezSimón Méndez‐Ferrer
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (2 papers)American Journal of Clinical Pathology (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- SwitzerlandSpainBelgium
In The Last Decade
Jürg Schwaller
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Hematology 585
- Genetics 535
- Immunology 241
- Rheumatology 167
- Molecular Biology 574
Countries citing papers authored by Jürg Schwaller
This map shows the geographic impact of Jürg 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 Jürg Schwaller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürg Schwaller more than expected).
Fields of papers citing papers by Jürg Schwaller
This network shows the impact of papers produced by Jürg 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 Jürg Schwaller. The network helps show where Jürg Schwaller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jürg 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 | 2022 | 27 | |
| 2 | 2022 | 3 | |
| 3 | 2018 | 21 | |
| 4 | 2016 | 25 | |
| 5 | 2014 | 91 | |
| 6 | 2014 | 324 | |
| 7 | 2012 | 54 | |
| 8 | 2012 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2011 | 62 | |
| 11 | 2010 | 6 | |
| 12 | 2007 | 329 | |
| 13 | 2004 | 17 | |
| 14 | 2004 | 13 | |
| 15 | 2004 | 18 | |
| 16 | 2000 | 7 | |
| 17 | 1997 | 51 | |
| 18 | 1996 | 11 | |
| 19 | Cytokine production and visualized effects in the feto-maternal unit. Quantitative and topographic data on cytokines during intrauterine disease. | 1995 | 118 |
| 20 | 1993 | 3 |
About Jürg Schwaller
Jürg Schwaller is a scholar working on Hematology, Genetics and Otorhinolaryngology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer Mechanisms and Therapy (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Sinusitis and nasal conditions (2 papers). The work is most often cited by research in Hematology (585 citations), Genetics (535 citations) and Immunology (241 citations). Jürg Schwaller has collaborated with scholars based in Switzerland, Spain and Belgium. Frequent co-authors include Radek C. Skoda, Renate Looser, Hui Hao-Shen, Marta Sobas, Ralph Tiedt, Stephan Dirnhofer, Daniel Martín-Pérez, Simón Méndez‐Ferrer, Lorena Arranz and Joan Isern. Their work appears in journals such as Blood, American Journal of Clinical Pathology, British Journal of Cancer, British Journal of Haematology 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.