Paul M. Selzer
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.1%
- Organic Chemistry top 1%
- Public Health, Environmental and Occupational Health top 2%
- Pharmacology top 2%
- Co-authors
- Peter ErtlBernhard RohdeJohann GasteigerJan SchuurSandra NoackAnsgar SchuffenhauerJames H. McKerrowH. D. Chapman
- Topics
- Computational Drug Discovery Methods (29 papers)Research on Leishmaniasis Studies (15 papers)Trypanosoma species research and implications (8 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEApplied and Environmental Microbiology
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Paul M. Selzer
75 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.1k
- Computational Theory and Mathematics 1.8k
- Organic Chemistry 1.7k
- Public Health, Environmental and Occupational Health 584
- Pharmacology 497
Countries citing papers authored by Paul M. Selzer
This map shows the geographic impact of Paul M. Selzer'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 Paul M. Selzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Selzer more than expected).
Fields of papers citing papers by Paul M. Selzer
This network shows the impact of papers produced by Paul M. Selzer. 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 Paul M. Selzer. The network helps show where Paul M. Selzer may publish in the future.
Co-authorship network of co-authors of Paul M. Selzer
This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Selzer. A scholar is included among the top collaborators of Paul M. Selzer 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 Paul M. Selzer. Paul M. Selzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 32 | |
| 4 | Anticoccidial drugs of the livestock industrybreakdown → | 192 |
| 5 | 44 | |
| 6 | 66 | |
| 7 | 49 | |
| 8 | 26 | |
| 9 | 41 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 13 | |
| 14 | Antiparasitic and antibacterial drug discovery : from molecular targets to drug candidates | 27 |
| 15 | 31 | |
| 16 | 36 | |
| 17 | Genlight: An interactive system for high-throughput sequence analysis and comparative genomics | 1 |
| 18 | 23 | |
| 19 | 91 | |
| 20 | 77 |
About Paul M. Selzer
Paul M. Selzer is a scholar working on Computational Theory and Mathematics, Parasitology and Biophysics, having authored 80 papers that have together received 5.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Research on Leishmaniasis Studies (15 papers) and Trypanosoma species research and implications (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Parasitology (432 citations) and Organic Chemistry (1.7k citations). Paul M. Selzer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Peter Ertl, Bernhard Rohde, Johann Gasteiger, Jan Schuur, Sandra Noack, Ansgar Schuffenhauer, James H. McKerrow, H. D. Chapman, Stephen Jelfs and Richard J. Marhöfer. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.
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.