Julia P. Schessner
Impact in
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- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Advanced Biosensing Techniques and Applications 2
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Georg H. H. Borner (7 shared papers)Sebastian Schuck (3 shared papers)Eugenia Voytik (2 shared papers)Isabell Bludau (2 shared papers)Charlotta Funaya (1 shared paper)Michael Knop (1 shared paper)Dimitrios Papagiannidis (1 shared paper)Toyoshi Fujimoto (1 shared paper)
- Journals
- Nature Communications (3 papers)The EMBO Journal (2 papers)Molecular & Cellular Proteomics (1 paper)Nature Methods (1 paper)Current Protocols in Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Julia P. Schessner
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 68
- Cell Biology 98
- Spectroscopy 78
- Aging 8
- Molecular Biology 212
- Physiology 14
Countries citing papers authored by Julia P. Schessner
This map shows the geographic impact of Julia P. Schessner'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 Julia P. Schessner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia P. Schessner more than expected).
Fields of papers citing papers by Julia P. Schessner
This network shows the impact of papers produced by Julia P. Schessner. 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 Julia P. Schessner. The network helps show where Julia P. Schessner may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia P. Schessner, 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 | 2019 | 94 | |
| 2 | 2021 | 46 | |
| 3 | 2019 | 39 | |
| 4 | 2023 | 38 | |
| 5 | 2022 | 32 | |
| 6 | 2023 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2024 | 24 | |
| 9 | 2016 | 20 | |
| 10 | 2018 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2015 | 6 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | BBF RFC 99: HiCT: High Throughput Protocols For CPE Cloning And Transformation | 2013 | 0 |
About Julia P. Schessner
Julia P. Schessner is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Epidemiology and Immunology, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cellular transport and secretion (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Autophagy in Disease and Therapy (2 papers), Plant-Microbe Interactions and Immunity (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Cell Biology (98 citations), Spectroscopy (78 citations), Aging (8 citations), Molecular Biology (212 citations) and Physiology (14 citations). Julia P. Schessner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Georg H. H. Borner, Sebastian Schuck, Eugenia Voytik, Isabell Bludau, Charlotta Funaya, Michael Knop, Dimitrios Papagiannidis, Toyoshi Fujimoto, Takuma Tsuji and Peter W. Bircham. Their work appears in journals such as Nature Communications, The EMBO Journal, Molecular & Cellular Proteomics, Nature Methods and Current Protocols in Bioinformatics.
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.