Peter J. Thul
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
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- Lipid metabolism and biosynthesis 3
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Cecilia Lindskog (1 shared paper)Mathias Beller (4 shared papers)Katharina Thiel (3 shared papers)Herbert Jäckle (2 shared papers)Ronald P. Kühnlein (1 shared paper)Michael Andreas Welte (1 shared paper)Zhihuan Li (1 shared paper)Mathias Uhlén (2 shared papers)
- Journals
- Journal of Cell Science (2 papers)Science (1 paper)Molecular Systems Biology (1 paper)Science Signaling (1 paper)FEBS Letters (1 paper)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
Peter J. Thul
10 papers receiving 4.0k citations
Peter J. Thul's Hit Papers
Peers
Comparison fields: 5 of 131
- Biochemistry 358
- Molecular Biology 2.5k
- Biophysics 205
- Cancer Research 409
- Cell Biology 451
Countries citing papers authored by Peter J. Thul
This map shows the geographic impact of Peter J. Thul'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 Peter J. Thul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Thul more than expected).
Fields of papers citing papers by Peter J. Thul
This network shows the impact of papers produced by Peter J. Thul. 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 Peter J. Thul. The network helps show where Peter J. Thul may publish in the future.
Co-authors
The 23 scholars most cited alongside Peter J. Thul, 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 | A subcellular map of the human proteome Hit paper breakdown → | 2017 | 2118 |
| 2 | The human protein atlas: A spatial map of the human proteome Hit paper breakdown → | 2017 | 882 |
| 3 | The human secretome Hit paper breakdown → | 2019 | 359 |
| 4 | 2010 | 225 | |
| 5 | 2012 | 181 | |
| 6 | 2021 | 126 | |
| 7 | 2020 | 117 | |
| 8 | 2013 | 45 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 4 |
About Peter J. Thul
Peter J. Thul is a scholar working on Biochemistry, Spectroscopy, Molecular Biology, Biophysics and Cell Biology, having authored 10 papers that have together received 4.1k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Lipid metabolism and biosynthesis (3 papers), Plant biochemistry and biosynthesis (2 papers), Bioinformatics and Genomic Networks (2 papers), Ubiquitin and proteasome pathways (2 papers), Cell Image Analysis Techniques (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Biochemistry (358 citations), Molecular Biology (2.5k citations), Biophysics (205 citations), Cancer Research (409 citations) and Cell Biology (451 citations). Peter J. Thul has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Cecilia Lindskog, Mathias Beller, Katharina Thiel, Herbert Jäckle, Ronald P. Kühnlein, Michael Andreas Welte, Zhihuan Li, Mathias Uhlén, Emma K. Lundberg and Christian Gnann. Their work appears in journals such as Journal of Cell Science, Science, Molecular Systems Biology, Science Signaling and FEBS Letters.
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.