Hans C. Rilling
- Molecular Biology top 5%
- Pharmacology top 2%
- Organic Chemistry top 10%
- Biochemistry top 2%
- Biochemistry top 2%
- Co-authors
- William W. EpsteinC. Dale PoulterE. BruengerBrent C. ReedKonrad BlochNorman L. EberhardtD. E. GregonisPrem P. Batra
- Topics
- Plant biochemistry and biosynthesis (34 papers)Computational Drug Discovery Methods (11 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)
- Cited by
- BiochemistryMolecular Biology
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesCanada
In The Last Decade
Hans C. Rilling
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.7k
- Pharmacology 379
- Organic Chemistry 288
- Biochemistry 251
- Biochemistry 232
Countries citing papers authored by Hans C. Rilling
This map shows the geographic impact of Hans C. Rilling'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 Hans C. Rilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans C. Rilling more than expected).
Fields of papers citing papers by Hans C. Rilling
This network shows the impact of papers produced by Hans C. Rilling. 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 Hans C. Rilling. The network helps show where Hans C. Rilling may publish in the future.
Co-authorship network of co-authors of Hans C. Rilling
This figure shows the co-authorship network connecting the top 25 collaborators of Hans C. Rilling. A scholar is included among the top collaborators of Hans C. Rilling 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 Hans C. Rilling. Hans C. Rilling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 38 | |
| 4 | 54 | |
| 5 | 23 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 33 | |
| 9 | Steroids and isoprenoids | 18 |
| 10 | 138 | |
| 11 | 17 | |
| 12 | 63 | |
| 13 | 42 | |
| 14 | 35 | |
| 15 | 70 | |
| 16 | 22 | |
| 17 | 8 | |
| 18 | 51 | |
| 19 | 49 | |
| 20 | 30 |
About Hans C. Rilling
Hans C. Rilling is a scholar working on Biochemistry, Animal Science and Zoology and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (34 papers), Computational Drug Discovery Methods (11 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). The work is most often cited by research in Biochemistry (251 citations), Biochemistry (232 citations) and Molecular Biology (1.7k citations). Hans C. Rilling has collaborated with scholars based in United States and Canada. Frequent co-authors include William W. Epstein, C. Dale Poulter, E. Bruenger, Brent C. Reed, Konrad Bloch, Norman L. Eberhardt, D. E. Gregonis, Prem P. Batra, David N. Brems and Lawrence J. Altman. Their work appears in journals such as Science, 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.