Benjamin K. Mueller
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Materials Chemistry
- Cell Biology
- Co-authors
- Alessandro SenesDavid D. ThomasJens MeilerChristine B. KarimHoward KutchaiBrian J. BenderJonathan H. SheehanAmandeep K. Sangha
- Topics
- Receptor Mechanisms and Signaling (4 papers)Protein Structure and Dynamics (3 papers)Computational Drug Discovery Methods (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesGermany
In The Last Decade
Benjamin K. Mueller
11 papers receiving 441 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 361
- Cardiology and Cardiovascular Medicine 67
- Cellular and Molecular Neuroscience 43
- Materials Chemistry 41
- Cell Biology 39
Countries citing papers authored by Benjamin K. Mueller
This map shows the geographic impact of Benjamin K. Mueller'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 Benjamin K. Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin K. Mueller more than expected).
Fields of papers citing papers by Benjamin K. Mueller
This network shows the impact of papers produced by Benjamin K. Mueller. 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 Benjamin K. Mueller. The network helps show where Benjamin K. Mueller may publish in the future.
Co-authorship network of co-authors of Benjamin K. Mueller
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin K. Mueller. A scholar is included among the top collaborators of Benjamin K. Mueller 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 Benjamin K. Mueller. Benjamin K. Mueller 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 | 3 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 36 | |
| 6 | 153 | |
| 7 | 27 | |
| 8 | 14 | |
| 9 | 89 | |
| 10 | 21 | |
| 11 | 64 | |
| 12 | 25 |
About Benjamin K. Mueller
Benjamin K. Mueller is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cell Biology, having authored 12 papers that have together received 443 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (361 citations), Biophysics (20 citations) and Cardiology and Cardiovascular Medicine (67 citations). Benjamin K. Mueller has collaborated with scholars based in United States and Germany. Frequent co-authors include Alessandro Senes, David D. Thomas, Jens Meiler, Christine B. Karim, Howard Kutchai, Brian J. Bender, Jonathan H. Sheehan, Amandeep K. Sangha, Amanda M. Duran and Gregory Sliwoski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.