Therese Inhester
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Insect Utilization and Effects
Papers in
-
- Computational Drug Discovery Methods 8
-
- Protein Structure and Dynamics 6
- Co-authors
- Michael Hoch (1 shared paper)Anna C. Aschenbrenner (1 shared paper)Joachim L. Schultze (1 shared paper)Thomas Becker (1 shared paper)Pilar Carrera (1 shared paper)Ingo Zinke (1 shared paper)Marc Beyer (1 shared paper)Matthias Rarey (7 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)FEBS Journal (1 paper)Journal of Medicinal Chemistry (1 paper)ChemMedChem (1 paper)Nature (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Therese Inhester
10 papers receiving 553 citations
Peers
Comparison fields: 5 of 101
- Aging 56
- Insect Science 108
- Immunology 154
- Computational Theory and Mathematics 105
- Nephrology 36
Countries citing papers authored by Therese Inhester
This map shows the geographic impact of Therese Inhester'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 Therese Inhester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Therese Inhester more than expected).
Fields of papers citing papers by Therese Inhester
This network shows the impact of papers produced by Therese Inhester. 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 Therese Inhester. The network helps show where Therese Inhester may publish in the future.
Co-authors
The 25 scholars most cited alongside Therese Inhester, 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 | 2010 | 281 | |
| 2 | 2011 | 83 | |
| 3 | 2017 | 71 | |
| 4 | 2013 | 35 | |
| 5 | 2009 | 35 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 3 |
About Therese Inhester
Therese Inhester is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Organic Chemistry and Nephrology, having authored 10 papers that have together received 560 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers), Biomedical Research and Pathophysiology (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (56 citations), Insect Science (108 citations), Immunology (154 citations), Computational Theory and Mathematics (105 citations) and Nephrology (36 citations). Therese Inhester has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Hoch, Anna C. Aschenbrenner, Joachim L. Schultze, Thomas Becker, Pilar Carrera, Ingo Zinke, Marc Beyer, Matthias Rarey, Stefan Bietz and Nathan Susnik. Their work appears in journals such as Journal of Chemical Information and Modeling, FEBS Journal, Journal of Medicinal Chemistry, ChemMedChem and Nature.
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.