Darwin Fu
Impact in
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- Academic Publishing and Open Access
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- scientometrics and bibliometrics research
Papers in
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- Computational Drug Discovery Methods 2
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- Advanced biosensing and bioanalysis techniques 2
- Genomics and Phylogenetic Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Jacob Hughey (3 shared papers)Jens Meiler (5 shared papers)Amanda M. Duran (1 shared paper)Amandeep K. Sangha (1 shared paper)Jonathan H. Sheehan (1 shared paper)Benjamin K. Mueller (1 shared paper)Gregory R. Sliwoski (1 shared paper)Jessica A. Finn (1 shared paper)
- Journals
- ACS Chemical Biology (1 paper)PeerJ (1 paper)ACS Omega (1 paper)eLife (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Darwin Fu
10 papers receiving 964 citations
Darwin Fu's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems and Management 84
- Statistics, Probability and Uncertainty 69
- Molecular Biology 629
- Structural Biology 11
- Radiology, Nuclear Medicine and Imaging 111
Countries citing papers authored by Darwin Fu
This map shows the geographic impact of Darwin Fu'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 Darwin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darwin Fu more than expected).
Fields of papers citing papers by Darwin Fu
This network shows the impact of papers produced by Darwin Fu. 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 Darwin Fu. The network helps show where Darwin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Darwin Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Macromolecular modeling and design in Rosetta: recent methods and frameworks Hit paper breakdown → | 2020 | 606 |
| 2 | 2016 | 169 | |
| 3 | 2019 | 100 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 22 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 5 |
About Darwin Fu
Darwin Fu is a scholar working on Computational Theory and Mathematics, Molecular Biology, Oncology, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 988 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Enzyme Structure and Function (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Mechanisms and Therapy (1 paper), Molecular Junctions and Nanostructures (1 paper), Genomics and Phylogenetic Studies (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Information Systems and Management (84 citations), Statistics, Probability and Uncertainty (69 citations), Molecular Biology (629 citations), Structural Biology (11 citations) and Radiology, Nuclear Medicine and Imaging (111 citations). Darwin Fu has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Jacob Hughey, Jens Meiler, Amanda M. Duran, Amandeep K. Sangha, Jonathan H. Sheehan, Benjamin K. Mueller, Gregory R. Sliwoski, Jessica A. Finn, Alexander M. Sevy and Frank DiMaio. Their work appears in journals such as ACS Chemical Biology, PeerJ, ACS Omega, eLife and Biochemistry.
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.