Ivan Silbern
Impact in
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- Skin and Cellular Biology Research
- Cellular transport and secretion
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- Advanced Proteomics Techniques and Applications
Papers in
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- Cellular transport and secretion 2
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- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- Henning Urlaub (15 shared papers)Kuan‐Ting Pan (5 shared papers)Pan Fang (3 shared papers)Yanlong Ji (3 shared papers)Thomas Oellerich (2 shared papers)Momchil Ninov (2 shared papers)Christof Lenz (3 shared papers)Carmen Doebele (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular & Cellular Proteomics (2 papers)Life Science Alliance (1 paper)Biology of Reproduction (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- GermanyCzechiaUnited Kingdom
In The Last Decade
Ivan Silbern
17 papers receiving 298 citations
Peers
Comparison fields: 5 of 48
- Cell Biology 41
- Spectroscopy 33
- Molecular Biology 129
- Cellular and Molecular Neuroscience 31
- Nutrition and Dietetics 15
Countries citing papers authored by Ivan Silbern
This map shows the geographic impact of Ivan Silbern'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 Ivan Silbern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Silbern more than expected).
Fields of papers citing papers by Ivan Silbern
This network shows the impact of papers produced by Ivan Silbern. 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 Ivan Silbern. The network helps show where Ivan Silbern may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Silbern, 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 | 2020 | 59 | |
| 2 | 2022 | 56 | |
| 3 | 2020 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2024 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 |
About Ivan Silbern
Ivan Silbern is a scholar working on Cell Biology, Neurology, Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 301 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Cellular transport and secretion (2 papers), Mitochondrial Function and Pathology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Melanoma and MAPK Pathways (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacteriophages and microbial interactions (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cell Biology (41 citations), Spectroscopy (33 citations), Molecular Biology (129 citations), Cellular and Molecular Neuroscience (31 citations) and Nutrition and Dietetics (15 citations). Ivan Silbern has collaborated with scholars based in Germany, Czechia and United Kingdom. Frequent co-authors include Henning Urlaub, Kuan‐Ting Pan, Pan Fang, Yanlong Ji, Thomas Oellerich, Momchil Ninov, Christof Lenz, Carmen Doebele, Reinhard Jahn and Rosa Viner. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, Life Science Alliance, Biology of Reproduction and Journal of Neurochemistry.
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.