Julia Scheffel
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
- Glycosylation and Glycoproteins Research
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Single-cell and spatial transcriptomics
Papers in
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- Monoclonal and Polyclonal Antibodies Research 9
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- Protein purification and stability 9
- Glycosylation and Glycoproteins Research 4
- Viral Infectious Diseases and Gene Expression in Insects 3
- Biochemical and Structural Characterization 1
- Machine Learning in Bioinformatics 1
- Co-authors
- Sophia Hober (9 shared papers)Sara Kanje (5 shared papers)Johan Nilvebrant (2 shared papers)Joaquín Gomis‐Fons (2 shared papers)Bernt Nilsson (2 shared papers)Hubert Schwarz (2 shared papers)Niklas U. Andersson (2 shared papers)Anita Solbrand (2 shared papers)
In The Last Decade
Julia Scheffel
10 papers receiving 502 citations
Julia Scheffel's Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 99
- Molecular Biology 313
- Spectroscopy 68
- Immunology 53
- Filtration and Separation 5
Countries citing papers authored by Julia Scheffel
This map shows the geographic impact of Julia Scheffel'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 Scheffel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Scheffel more than expected).
Fields of papers citing papers by Julia Scheffel
This network shows the impact of papers produced by Julia Scheffel. 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 Scheffel. The network helps show where Julia Scheffel may publish in the future.
Co-authors
The 22 scholars most cited alongside Julia Scheffel, 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 | The human secretome Hit paper breakdown → | 2019 | 359 |
| 2 | 2022 | 39 | |
| 3 | 2018 | 28 | |
| 4 | 2019 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 12 | |
| 8 | 2004 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2020 | 0 |
About Julia Scheffel
Julia Scheffel is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biotechnology, Spectroscopy and Immunology, having authored 11 papers that have together received 519 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (9 papers), Glycosylation and Glycoproteins Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Biochemical and Structural Characterization (1 paper), Machine Learning in Bioinformatics (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (99 citations), Molecular Biology (313 citations), Spectroscopy (68 citations), Immunology (53 citations) and Filtration and Separation (5 citations). Julia Scheffel has collaborated with scholars based in Sweden and Germany. Frequent co-authors include Sophia Hober, Sara Kanje, Johan Nilvebrant, Joaquín Gomis‐Fons, Bernt Nilsson, Hubert Schwarz, Niklas U. Andersson, Anita Solbrand, Madelène Isaksson and Véronique Chotteau. Their work appears in journals such as Journal of Chromatography A, European Journal of Immunology, Journal of Molecular Biology, Biotechnology and Bioengineering and mAbs.
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.