Christian Frank
- Molecular Biology
- Molecular Medicine top 2%
- Computer Networks and Communications top 5%
- Immunology
- Organic Chemistry top 10%
- Co-authors
- Kay RömerMarkus AebiJosé A. BengoecheaMichel E. van der RestDouwe MolenaarClaudia E. GrubenmannThierry HennetAnant K. Menon
- Topics
- Glycosylation and Glycoproteins Research (8 papers)Mobile Ad Hoc Networks (8 papers)Energy Efficient Wireless Sensor Networks (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationBiochemistry
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Christian Frank
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 610
- Molecular Medicine 238
- Computer Networks and Communications 236
- Immunology 174
- Organic Chemistry 154
Countries citing papers authored by Christian Frank
This map shows the geographic impact of Christian Frank'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 Christian Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Frank more than expected).
Fields of papers citing papers by Christian Frank
This network shows the impact of papers produced by Christian Frank. 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 Christian Frank. The network helps show where Christian Frank may publish in the future.
Co-authorship network of co-authors of Christian Frank
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Frank. A scholar is included among the top collaborators of Christian Frank 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 Christian Frank. Christian Frank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 124 | |
| 3 | 34 | |
| 4 | 43 | |
| 5 | 57 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 14 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 51 | |
| 13 | 70 | |
| 14 | 39 | |
| 15 | A KNOWLEDGE MANAGEMENT SYSTEM FOR INDUSTRIAL DESIGN RESEARCH PROCESSES | 2 |
| 16 | Semantic Addressing for Wireless Sensor Networks | 1 |
| 17 | 76 | |
| 18 | 104 | |
| 19 | 33 | |
| 20 | DNA repair synthesis induced by azo dyes in primary rat hepatocyte cultures using the bromodeoxyuridine density-shift method. | 3 |
About Christian Frank
Christian Frank is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Computer Networks and Communications, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Mobile Ad Hoc Networks (8 papers) and Energy Efficient Wireless Sensor Networks (8 papers). The work is most often cited by research in Molecular Medicine (238 citations), Endocrinology (89 citations) and Computer Networks and Communications (236 citations). Christian Frank has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Kay Römer, Markus Aebi, José A. Bengoechea, Michel E. van der Rest, Douwe Molenaar, Claudia E. Grubenmann, Thierry Hennet, Anant K. Menon, Sumana Sanyal and Eric G. Berger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Biochemistry.
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.