Mathias Uhlén
Impact in
- Molecular Biology top 0.05%
- Glycosylation and Glycoproteins Research
- Protein purification and stability
- RNA and protein synthesis mechanisms
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Radiology, Nuclear Medicine and Imaging top 0.02%
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Glycosylation and Glycoproteins Research 62
- Advanced Biosensing Techniques and Applications 60
- Protein purification and stability 51
- RNA and protein synthesis mechanisms 50
- Viral Infectious Diseases and Gene Expression in Insects 33
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- Monoclonal and Polyclonal Antibodies Research 166
- Co-authors
- Fredrik Pontén (95 shared papers)Per‐Åke Nygren (55 shared papers)Björn Nilsson (33 shared papers)Joakim Lundeberg (72 shared papers)Stefan Ståhl (37 shared papers)Pål Nyrén (4 shared papers)Mostafa Ronaghi (6 shared papers)Tomas Moks (27 shared papers)
- Journals
- Molecular & Cellular Proteomics (29 papers)Journal of Proteome Research (26 papers)Proceedings of the National Academy of Sciences (20 papers)PLoS ONE (19 papers)PROTEOMICS (14 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Mathias Uhlén
697 papers receiving 39.4k citations
Mathias Uhlén's Hit Papers
Peers
Comparison fields: 5 of 199
- Molecular Biology 24.1k
- Radiology, Nuclear Medicine and Imaging 6.8k
- Virology 1.0k
- Infectious Diseases 3.1k
- Cancer Research 2.5k
Countries citing papers authored by Mathias Uhlén
This map shows the geographic impact of Mathias Uhlén'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 Mathias Uhlén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Uhlén more than expected).
Fields of papers citing papers by Mathias Uhlén
This network shows the impact of papers produced by Mathias Uhlén. 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 Mathias Uhlén. The network helps show where Mathias Uhlén may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Uhlén, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 708 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Sequencing Method Based on Real-Time Pyrophosphate Hit paper breakdown → | 1998 | 1073 |
| 2 | The Human Protein Atlas—a tool for pathology Hit paper breakdown → | 2008 | 826 |
| 3 | Real-Time DNA Sequencing Using Detection of Pyrophosphate Release Hit paper breakdown → | 1996 | 725 |
| 4 | The protein expression profile of ACE2 in human tissues Hit paper breakdown → | 2020 | 688 |
| 5 | Direct solid phase sequencing of genomic and plasmid DNA using magnetic beads as solid support Hit paper breakdown → | 1989 | 660 |
| 6 | A synthetic IgG-binding domain based on staphylococcal protein A Hit paper breakdown → | 1987 | 637 |
| 7 | Binding proteins selected from combinatorial libraries of an α-helical bacterial receptor domain Hit paper breakdown → | 1997 | 516 |
| 8 | A Genecentric Human Protein Atlas for Expression Profiles Based on Antibodies Hit paper breakdown → | 2008 | 508 |
| 9 | Complete sequence of the staphylococcal gene encoding protein A. A gene evolved through multiple duplications. Hit paper breakdown → | 1984 | 487 |
| 10 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissues Hit paper breakdown → | 2019 | 463 |
| 11 | 2009 | 412 | |
| 12 | 1999 | 406 | |
| 13 | Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease Hit paper breakdown → | 2014 | 394 |
| 14 | 2001 | 388 | |
| 15 | A proposal for validation of antibodies Hit paper breakdown → | 2016 | 368 |
| 16 | 2005 | 366 | |
| 17 | 1994 | 364 | |
| 18 | 1998 | 340 | |
| 19 | 2009 | 334 | |
| 20 | 2016 | 332 |
About Mathias Uhlén
Mathias Uhlén is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Epidemiology and Spectroscopy, having authored 708 papers that have together received 40.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (166 papers), Glycosylation and Glycoproteins Research (62 papers), Advanced Proteomics Techniques and Applications (61 papers), Advanced Biosensing Techniques and Applications (60 papers), Protein purification and stability (51 papers), RNA and protein synthesis mechanisms (50 papers), Bacteriophages and microbial interactions (45 papers) and Viral Infectious Diseases and Gene Expression in Insects (33 papers). The work is most often cited by research in Molecular Biology (24.1k citations), Radiology, Nuclear Medicine and Imaging (6.8k citations), Virology (1.0k citations), Infectious Diseases (3.1k citations) and Cancer Research (2.5k citations). Mathias Uhlén has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Fredrik Pontén, Per‐Åke Nygren, Björn Nilsson, Joakim Lundeberg, Stefan Ståhl, Pål Nyrén, Mostafa Ronaghi, Tomas Moks, Karin Jirström and Adil Mardinoğlu. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Proceedings of the National Academy of Sciences, PLoS ONE and PROTEOMICS.
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.