Martin Frank
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Infectious Diseases top 5%
- Co-authors
- Thomas LüttekeClaus‐W. von der LiethC.-W. von der LiethAndreas Bohne-LangClaus‐Wilhelm von der LiethHans‐Joachim GabiusStephan HergetRené Ranzinger
- Topics
- Glycosylation and Glycoproteins Research (44 papers)Carbohydrate Chemistry and Synthesis (23 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Martin Frank
93 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.7k
- Organic Chemistry 632
- Immunology 579
- Radiology, Nuclear Medicine and Imaging 345
- Infectious Diseases 294
Countries citing papers authored by Martin Frank
This map shows the geographic impact of Martin 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 Martin Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Frank more than expected).
Fields of papers citing papers by Martin Frank
This network shows the impact of papers produced by Martin 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 Martin Frank. The network helps show where Martin Frank may publish in the future.
Co-authorship network of co-authors of Martin Frank
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Frank. A scholar is included among the top collaborators of Martin 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 Martin Frank. Martin 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 | 6 | |
| 2 | 37 | |
| 3 | 11 | |
| 4 | 28 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 60 | |
| 8 | 28 | |
| 9 | 27 | |
| 10 | 9 | |
| 11 | 63 | |
| 12 | Identification by high-throughput in silico screening of radio-protecting compounds targeting the DNA-binding domain of the tumor suppressor p53. | 7 |
| 13 | 55 | |
| 14 | 14 | |
| 15 | Bioinformatics for glycobiology and glycomics : an introduction | 15 |
| 16 | 36 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 180 | |
| 20 | Glycosciences.de: An Internet portal for glyco-related data from open access resources | 2 |
About Martin Frank
Martin Frank is a scholar working on Infectious Diseases, Immunology and Molecular Biology, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (44 papers), Carbohydrate Chemistry and Synthesis (23 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Immunology (579 citations), Molecular Biology (1.7k citations) and Organic Chemistry (632 citations). Martin Frank has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thomas Lütteke, Claus‐W. von der Lieth, C.-W. von der Lieth, Andreas Bohne-Lang, Claus‐Wilhelm von der Lieth, Hans‐Joachim Gabius, Stephan Herget, René Ranzinger, Siegfried Schloissnig and Thomas Goetz. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.