H. Steuber
Impact in
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- Computational Drug Discovery Methods
- Cell Biology top 5%
- Aldose Reductase and Taurine
Papers in
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- Aldose Reductase and Taurine 8
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- Computational Drug Discovery Methods 5
- Co-authors
- Gerhard Klebe (12 shared papers)A. Heine (8 shared papers)Matthias Zentgraf (5 shared papers)Christoph Sotriffer (4 shared papers)Wibke E. Diederich (7 shared papers)ALBERTO D. PODJARNY (3 shared papers)Rolf Hilgenfeld (1 shared paper)Xiulan Xie (2 shared papers)
- Journals
- Journal of Molecular Biology (6 papers)Journal of Medicinal Chemistry (6 papers)Angewandte Chemie International Edition (5 papers)ChemMedChem (4 papers)iScience (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
H. Steuber
41 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 374
- Cell Biology 236
- Endocrinology 59
- Molecular Biology 638
- Public Health, Environmental and Occupational Health 330
Countries citing papers authored by H. Steuber
This map shows the geographic impact of H. Steuber'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 H. Steuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Steuber more than expected).
Fields of papers citing papers by H. Steuber
This network shows the impact of papers produced by H. Steuber. 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 H. Steuber. The network helps show where H. Steuber may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Steuber, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 288 | |
| 2 | 2016 | 167 | |
| 3 | 2014 | 130 | |
| 4 | 2006 | 100 | |
| 5 | 2013 | 86 | |
| 6 | 2014 | 84 | |
| 7 | 2010 | 78 | |
| 8 | 2006 | 74 | |
| 9 | 2019 | 71 | |
| 10 | 2013 | 70 | |
| 11 | 2007 | 69 | |
| 12 | 2007 | 60 | |
| 13 | 2008 | 53 | |
| 14 | 2005 | 52 | |
| 15 | 2005 | 49 | |
| 16 | 2010 | 49 | |
| 17 | 2020 | 47 | |
| 18 | 2007 | 38 | |
| 19 | 2007 | 37 | |
| 20 | 2007 | 36 |
About H. Steuber
H. Steuber is a scholar working on Cell Biology, Computational Theory and Mathematics, Molecular Biology, Immunology and Oncology, having authored 41 papers that have together received 2k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (8 papers), Computational Drug Discovery Methods (5 papers), Enzyme Structure and Function (5 papers), Cancer-related gene regulation (4 papers), Mosquito-borne diseases and control (3 papers), Chemical Synthesis and Analysis (2 papers), Metal complexes synthesis and properties (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (374 citations), Cell Biology (236 citations), Endocrinology (59 citations), Molecular Biology (638 citations) and Public Health, Environmental and Occupational Health (330 citations). H. Steuber has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Gerhard Klebe, A. Heine, Matthias Zentgraf, Christoph Sotriffer, Wibke E. Diederich, ALBERTO D. PODJARNY, Rolf Hilgenfeld, Xiulan Xie, Christof Gerlach and Stefania Sartini. Their work appears in journals such as Journal of Molecular Biology, Journal of Medicinal Chemistry, Angewandte Chemie International Edition, ChemMedChem and iScience.
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.