Wilhelm Guschlbauer
- Molecular Biology top 2%
- Organic Chemistry top 5%
- Spectroscopy top 2%
- Ecology top 5%
- Oncology top 10%
- Co-authors
- Danielle ThieleJean‐François ChantotG. Victor FazakerleyKrzysztof JankowskiYves CourtoisChristian MarckAgnès BergeratA.M. Michelson
- Topics
- DNA and Nucleic Acid Chemistry (106 papers)RNA and protein synthesis mechanisms (35 papers)Advanced biosensing and bioanalysis techniques (30 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Wilhelm Guschlbauer
139 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 3.8k
- Organic Chemistry 501
- Spectroscopy 343
- Ecology 326
- Oncology 305
Countries citing papers authored by Wilhelm Guschlbauer
This map shows the geographic impact of Wilhelm Guschlbauer'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 Wilhelm Guschlbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilhelm Guschlbauer more than expected).
Fields of papers citing papers by Wilhelm Guschlbauer
This network shows the impact of papers produced by Wilhelm Guschlbauer. 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 Wilhelm Guschlbauer. The network helps show where Wilhelm Guschlbauer may publish in the future.
Co-authorship network of co-authors of Wilhelm Guschlbauer
This figure shows the co-authorship network connecting the top 25 collaborators of Wilhelm Guschlbauer. A scholar is included among the top collaborators of Wilhelm Guschlbauer 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 Wilhelm Guschlbauer. Wilhelm Guschlbauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 22 | |
| 3 | 16 | |
| 4 | 24 | |
| 5 | 25 | |
| 6 | 15 | |
| 7 | 71 | |
| 8 | 31 | |
| 9 | 66 | |
| 10 | 158 | |
| 11 | DNA-ligand interactions : from drugs to proteins | 49 |
| 12 | 22 | |
| 13 | 87 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 156 |
About Wilhelm Guschlbauer
Wilhelm Guschlbauer is a scholar working on Molecular Biology, Pharmaceutical Science and Organic Chemistry, having authored 142 papers that have together received 4.2k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (106 papers), RNA and protein synthesis mechanisms (35 papers) and Advanced biosensing and bioanalysis techniques (30 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Spectroscopy (343 citations) and Organic Chemistry (501 citations). Wilhelm Guschlbauer has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Danielle Thiele, Jean‐François Chantot, G. Victor Fazakerley, Krzysztof Jankowski, Yves Courtois, Christian Marck, Agnès Bergerat, A.M. Michelson, Jean Massoulié and Lawrence C. Sowers. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.