D. Kudlinzki
- Molecular Biology
- Oncology
- Cell Biology
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics top 10%
- Co-authors
- Harald SchwalbeKrishna SaxenaSridhar SreeramuluS.L. GandeV.L. LinhardBernhard KüsterRalf FicnerAndreas Schmitt
- Topics
- Computational Drug Discovery Methods (6 papers)Enzyme Structure and Function (6 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
D. Kudlinzki
20 papers receiving 445 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 324
- Oncology 115
- Cell Biology 103
- Cellular and Molecular Neuroscience 60
- Computational Theory and Mathematics 60
Countries citing papers authored by D. Kudlinzki
This map shows the geographic impact of D. Kudlinzki'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 D. Kudlinzki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Kudlinzki more than expected).
Fields of papers citing papers by D. Kudlinzki
This network shows the impact of papers produced by D. Kudlinzki. 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 D. Kudlinzki. The network helps show where D. Kudlinzki may publish in the future.
Co-authorship network of co-authors of D. Kudlinzki
This figure shows the co-authorship network connecting the top 25 collaborators of D. Kudlinzki. A scholar is included among the top collaborators of D. Kudlinzki 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 D. Kudlinzki. D. Kudlinzki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 34 | |
| 3 | 78 | |
| 4 | 14 | |
| 5 | 38 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 24 | |
| 9 | 17 | |
| 10 | 22 | |
| 11 | 37 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 55 | |
| 16 | 1 | |
| 17 | 26 | |
| 18 | 8 | |
| 19 | 29 | |
| 20 | 1 |
About D. Kudlinzki
D. Kudlinzki is a scholar working on Structural Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Enzyme Structure and Function (6 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Cell Biology (103 citations), Molecular Biology (324 citations) and Oncology (115 citations). D. Kudlinzki has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Harald Schwalbe, Krishna Saxena, Sridhar Sreeramulu, S.L. Gande, V.L. Linhard, Bernhard Küster, Ralf Ficner, Andreas Schmitt, Stephanie Heinzlmeir and Susan Klaeger. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Medicinal 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.