Katharina Lehmann
- Molecular Biology
- Aging top 2%
- Computer Networks and Communications top 10%
- Plant Science
- Cell Biology
- Co-authors
- Frank MadeoEva HerkerStephan J. SigristHelmut JungwirthSilke WissingSabrina BüttnerMarkus FehrKai‐Uwe Fröhlich
- Topics
- Complex Network Analysis Techniques (3 papers)Peer-to-Peer Network Technologies (2 papers)CRISPR and Genetic Engineering (2 papers)
- Journals
- The Journal of Cell BiologyAlgorithms for Molecular BiologyArXiv.org
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Katharina Lehmann
13 papers receiving 558 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 379
- Aging 116
- Computer Networks and Communications 90
- Plant Science 62
- Cell Biology 60
Countries citing papers authored by Katharina Lehmann
This map shows the geographic impact of Katharina Lehmann'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 Katharina Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Lehmann more than expected).
Fields of papers citing papers by Katharina Lehmann
This network shows the impact of papers produced by Katharina Lehmann. 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 Katharina Lehmann. The network helps show where Katharina Lehmann may publish in the future.
Co-authorship network of co-authors of Katharina Lehmann
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Lehmann. A scholar is included among the top collaborators of Katharina Lehmann 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 Katharina Lehmann. Katharina Lehmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 61 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 432 | |
| 11 | Decentralized algorithms for evaluating centrality in complex networks | 25 |
| 12 | Serial reproduction as a method for studying social representations | 6 |
| 13 | 7 |
About Katharina Lehmann
Katharina Lehmann is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 13 papers that have together received 587 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Peer-to-Peer Network Technologies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (116 citations), Molecular Biology (379 citations) and Computer Networks and Communications (90 citations). Katharina Lehmann has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Frank Madeo, Eva Herker, Stephan J. Sigrist, Helmut Jungwirth, Silke Wissing, Sabrina Büttner, Markus Fehr, Kai‐Uwe Fröhlich, Michael Kaufmann and Alexander Kröller. Their work appears in journals such as The Journal of Cell Biology, Algorithms for Molecular Biology and ArXiv.org.
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.