Jonas Nikoloff
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
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- Extracellular vesicles in disease
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Extracellular vesicles in disease 4
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Petra S. Dittrich (6 shared papers)Yafeng Song (2 shared papers)Dawei Zhang (1 shared paper)Mario A. Saucedo‐Espinosa (4 shared papers)Lucas Armbrecht (2 shared papers)André Kling (3 shared papers)Ping Zheng (1 shared paper)Gang Fu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Advanced Science (1 paper)Analytical Chemistry (1 paper)PLoS ONE (1 paper)Microsystems & Nanoengineering (1 paper)
- Partner nations
- SwitzerlandUnited StatesChina
In The Last Decade
Jonas Nikoloff
11 papers receiving 333 citations
Peers
Comparison fields: 5 of 57
- Biotechnology 53
- Molecular Biology 215
- Genetics 73
- Biomedical Engineering 109
- Cancer Research 34
Countries citing papers authored by Jonas Nikoloff
This map shows the geographic impact of Jonas Nikoloff'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 Jonas Nikoloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Nikoloff more than expected).
Fields of papers citing papers by Jonas Nikoloff
This network shows the impact of papers produced by Jonas Nikoloff. 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 Jonas Nikoloff. The network helps show where Jonas Nikoloff may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Nikoloff, 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 | 2016 | 81 | |
| 2 | 2015 | 74 | |
| 3 | 2021 | 56 | |
| 4 | 2020 | 49 | |
| 5 | 2019 | 33 | |
| 6 | 2023 | 17 | |
| 7 | 2024 | 16 | |
| 8 | 2025 | 6 | |
| 9 | 2025 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 |
About Jonas Nikoloff
Jonas Nikoloff is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Materials Chemistry and Neurology, having authored 11 papers that have together received 335 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Microfluidic and Bio-sensing Technologies (2 papers), Anodic Oxide Films and Nanostructures (2 papers), MicroRNA in disease regulation (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nanopore and Nanochannel Transport Studies (2 papers). The work is most often cited by research in Biotechnology (53 citations), Molecular Biology (215 citations), Genetics (73 citations), Biomedical Engineering (109 citations) and Cancer Research (34 citations). Jonas Nikoloff has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Petra S. Dittrich, Yafeng Song, Dawei Zhang, Mario A. Saucedo‐Espinosa, Lucas Armbrecht, André Kling, Ping Zheng, Gang Fu, Dawei Zhang and Qinggang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Science, Analytical Chemistry, PLoS ONE and Microsystems & Nanoengineering.
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.