Radek C. Skoda
- Genetics top 0.05%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 91
- Hematology top 0.05%
- Acute Myeloid Leukemia Research 35
- Chronic Myeloid Leukemia Treatments 32
- Platelet Disorders and Treatments 24
- Endocrine and Autonomic Systems top 0.5%
- Rheumatology top 0.2%
- Eosinophilic Disorders and Syndromes 30
- Molecular Biology top 1%
- Kruppel-like factors research 40
-
- Cytokine Signaling Pathways and Interactions 17
-
- Blood properties and coagulation 6
- Co-authors
- Nico GhilardiRóbert KrálovicsRalph TiedtMario CazzolaAndré TichelliAndreas BuserJakob PasswegFrancesco Passamonti
- Journals
- Nature (1 paper)New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Radek C. Skoda
137 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Genetics 6.5k
- Hematology 5.7k
- Endocrine and Autonomic Systems 1.4k
- Rheumatology 2.3k
- Molecular Biology 5.1k
Countries citing papers authored by Radek C. Skoda
This map shows the geographic impact of Radek C. Skoda'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 Radek C. Skoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radek C. Skoda more than expected).
Fields of papers citing papers by Radek C. Skoda
This network shows the impact of papers produced by Radek C. Skoda. 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 Radek C. Skoda. The network helps show where Radek C. Skoda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Radek C. Skoda, 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 | 2024 | 15 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 71 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 50 | |
| 8 | 2020 | 1 | |
| 9 | 2018 | 36 | |
| 10 | Targeting Cell Non-Autonomous MAPK Activation As a Novel Therapeutic Strategy in Myeloproliferative Neoplasms | 2017 | 4 |
| 11 | 2016 | 82 | |
| 12 | 2015 | 36 | |
| 13 | 2014 | 69 | |
| 14 | 2014 | 34 | |
| 15 | 2012 | 1 | |
| 16 | 2011 | 215 | |
| 17 | 2009 | 20 | |
| 18 | 2008 | 44 | |
| 19 | 2007 | 35 | |
| 20 | 1989 | 2 |
About Radek C. Skoda
Radek C. Skoda is a scholar working on Genetics, Hematology and Rheumatology, having authored 137 papers that have together received 12.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (91 papers), Kruppel-like factors research (40 papers), Acute Myeloid Leukemia Research (35 papers), Chronic Myeloid Leukemia Treatments (32 papers), Eosinophilic Disorders and Syndromes (30 papers), Platelet Disorders and Treatments (24 papers), Cytokine Signaling Pathways and Interactions (17 papers) and Blood properties and coagulation (6 papers). The work is most often cited by research in Genetics (6.5k citations), Hematology (5.7k citations) and Endocrine and Autonomic Systems (1.4k citations). Radek C. Skoda has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Nico Ghilardi, Róbert Královics, Ralph Tiedt, Mario Cazzola, André Tichelli, Andreas Buser, Jakob Passweg, Francesco Passamonti, Adrian Wiestner and Hui Hao-Shen. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.