Eduard Willms
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in ⓘ
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- MicroRNA in disease regulation 8
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- Microbial infections and disease research 2
- Co-authors
- Pieter Vader (5 shared papers)Imre Mäger (4 shared papers)Matthew J. A. Wood (5 shared papers)Carlos Cabañas (1 shared paper)Samir EL Andaloussi (3 shared papers)Janne Lehtiö (1 shared paper)Yi Lee (1 shared paper)Amr Alaarg (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Scientific Reports (1 paper)Progress in Biophysics and Molecular Biology (1 paper)The EMBO Journal (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Eduard Willms
12 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 917
- Immunology and Allergy 158
- Molecular Biology 1.7k
- Immunology 249
- Obstetrics and Gynecology 48
Countries citing papers authored by Eduard Willms
This map shows the geographic impact of Eduard Willms'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 Eduard Willms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Willms more than expected).
Fields of papers citing papers by Eduard Willms
This network shows the impact of papers produced by Eduard Willms. 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 Eduard Willms. The network helps show where Eduard Willms may publish in the future.
Co-authors
The 25 scholars most cited alongside Eduard Willms, 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 | Cells release subpopulations of exosomes with distinct molecular and biological properties Hit paper breakdown → | 2016 | 743 |
| 2 | Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression Hit paper breakdown → | 2018 | 733 |
| 3 | 2020 | 132 | |
| 4 | 2021 | 75 | |
| 5 | 2024 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2023 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 |
About Eduard Willms
Eduard Willms is a scholar working on Cancer Research, Microbiology, Molecular Biology, Immunology and Allergy and Rheumatology, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), MicroRNA in disease regulation (8 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers), Microbial infections and disease research (2 papers), Nanoplatforms for cancer theranostics (1 paper), Protist diversity and phylogeny (1 paper) and Nanopore and Nanochannel Transport Studies (1 paper). The work is most often cited by research in Cancer Research (917 citations), Immunology and Allergy (158 citations), Molecular Biology (1.7k citations), Immunology (249 citations) and Obstetrics and Gynecology (48 citations). Eduard Willms has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Pieter Vader, Imre Mäger, Matthew J. A. Wood, Carlos Cabañas, Samir EL Andaloussi, Janne Lehtiö, Yi Lee, Amr Alaarg, K. Emelie M. Blomberg and Smith Rjh. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Progress in Biophysics and Molecular Biology, The EMBO Journal and Nature Communications.
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.