Jonas Ståhle
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
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- Lipid Membrane Structure and Behavior
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
Papers in
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- Carbohydrate Chemistry and Synthesis 11
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- Glycosylation and Glycoproteins Research 11
- Co-authors
- Göran Widmalm (18 shared papers)Otto Holst (2 shared papers)Jeffery B. Klauda (1 shared paper)Wonpil Im (1 shared paper)Dhilon S. Patel (1 shared paper)Joon-Seong Lee (1 shared paper)Sunhwan Jo (1 shared paper)Xi Cheng (1 shared paper)
In The Last Decade
Jonas Ståhle
19 papers receiving 812 citations
Jonas Ståhle's Hit Papers
Peers
Comparison fields: 5 of 100
- Endocrinology 79
- Molecular Biology 516
- Molecular Medicine 34
- Small Animals 44
- Microbiology 28
Countries citing papers authored by Jonas Ståhle
This map shows the geographic impact of Jonas Ståhle'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 Jonas Ståhle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Ståhle more than expected).
Fields of papers citing papers by Jonas Ståhle
This network shows the impact of papers produced by Jonas Ståhle. 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 Jonas Ståhle. The network helps show where Jonas Ståhle may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Ståhle, 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 | CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans Hit paper breakdown → | 2018 | 447 |
| 2 | 2016 | 71 | |
| 3 | 2013 | 52 | |
| 4 | 2016 | 45 | |
| 5 | 2016 | 41 | |
| 6 | 2022 | 33 | |
| 7 | 2015 | 29 | |
| 8 | 2019 | 18 | |
| 9 | 2014 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Jonas Ståhle
Jonas Ståhle is a scholar working on Organic Chemistry, Molecular Biology, Endocrinology, Nutrition and Dietetics and Genetics, having authored 20 papers that have together received 816 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (11 papers), Escherichia coli research studies (7 papers), Microbial Metabolites in Food Biotechnology (4 papers), Bacterial Genetics and Biotechnology (4 papers), Galectins and Cancer Biology (2 papers), Brucella: diagnosis, epidemiology, treatment (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Endocrinology (79 citations), Molecular Biology (516 citations), Molecular Medicine (34 citations), Small Animals (44 citations) and Microbiology (28 citations). Jonas Ståhle has collaborated with scholars based in Sweden, Australia and Germany. Frequent co-authors include Göran Widmalm, Otto Holst, Jeffery B. Klauda, Wonpil Im, Dhilon S. Patel, Joon-Seong Lee, Sunhwan Jo, Xi Cheng, Yuriy A. Knirel and Sang‐Jun Park. Their work appears in journals such as Carbohydrate Research, Glycobiology, Organic & Biomolecular Chemistry, The Journal of Physical Chemistry B and Journal of Computational Chemistry.
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.