Hanna Geppert
- Computational Theory and Mathematics top 1%
- Molecular Biology
- Materials Chemistry
- Pharmacology top 10%
- Spectroscopy top 10%
- Co-authors
- Jürgen BajorathMartin VogtDagmar StumpfeAnne Mai WassermannThomas GärtnerMichael GütschowLu TanMihiret T. Sisay
- Topics
- Computational Drug Discovery Methods (14 papers)Chemical Synthesis and Analysis (7 papers)Protein Structure and Dynamics (6 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Chemical Information and ModelingACS Chemical Biology
- Partner nations
- GermanyUnited States
In The Last Decade
Hanna Geppert
20 papers receiving 682 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 566
- Molecular Biology 465
- Materials Chemistry 132
- Pharmacology 121
- Spectroscopy 103
Countries citing papers authored by Hanna Geppert
This map shows the geographic impact of Hanna Geppert'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 Hanna Geppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanna Geppert more than expected).
Fields of papers citing papers by Hanna Geppert
This network shows the impact of papers produced by Hanna Geppert. 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 Hanna Geppert. The network helps show where Hanna Geppert may publish in the future.
Co-authorship network of co-authors of Hanna Geppert
This figure shows the co-authorship network connecting the top 25 collaborators of Hanna Geppert. A scholar is included among the top collaborators of Hanna Geppert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanna Geppert. Hanna Geppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | Detection of Defective Requirements using Rule-based Scripts. | 1 |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 70 | |
| 11 | 27 | |
| 12 | 248 | |
| 13 | 8 | |
| 14 | 46 | |
| 15 | 14 | |
| 16 | 45 | |
| 17 | 8 | |
| 18 | 59 | |
| 19 | 27 | |
| 20 | 46 |
About Hanna Geppert
Hanna Geppert is a scholar working on Computational Theory and Mathematics, Management Information Systems and Information Systems, having authored 21 papers that have together received 701 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Chemical Synthesis and Analysis (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Computational Theory and Mathematics (566 citations), Pharmacology (121 citations) and Molecular Biology (465 citations). Hanna Geppert has collaborated with scholars based in Germany and United States. Frequent co-authors include Jürgen Bajorath, Martin Vogt, Dagmar Stumpfe, Anne Mai Wassermann, Thomas Gärtner, Michael Gütschow, Lu Tan, Mihiret T. Sisay, Jens Y. Humrich and Stefan Wrobel. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and ACS Chemical Biology.
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.