Darwin Fu

1.5k citations
9 papers · 342 · h-index 8

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Single-cell and spatial transcriptomics 1
    • Cytokine Signaling Pathways and Interactions 2

Darwin Fu

9 papers receiving 330 citations

Peers

Darwin Fu
Comparison fields: 5 of 98
  • Information Systems and Management 71
  • Statistics, Probability and Uncertainty 63
  • Toxicology 11
  • Molecular Biology 174
  • Structural Biology 3
Replace Jinseo Park with:
Jinseo Park South Korea
Ari Patrinos United States
Pentti Riikonen Finland
Juha Muilu Finland
Michael Sierk United States
Hitomi Ohkawa United States
Silvia Crivelli United States
Rudesh D. Toofanny United States
Andrew N. Holding United Kingdom
Guoying Qi United Kingdom
Darwin Fu relative to Jinseo Park South Korea Jinseo Park's profile →
Citations per field
00.5×4.7×
Jinseo Park · 1×
Citations per year

Countries citing papers authored by Darwin Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Darwin Fu Line = papers co-authored together Darwin Fu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2016153
2 201991
3 201720
4 201720
5 201918
6 201912
7 201912
8 201811
9 20195

About Darwin Fu

Darwin Fu is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Infectious Diseases and Pharmacology, having authored 9 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Computational Drug Discovery Methods (2 papers), Single-cell and spatial transcriptomics (1 paper), Genetic Associations and Epidemiology (1 paper), Academic Publishing and Open Access (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Information Systems and Management (71 citations), Statistics, Probability and Uncertainty (63 citations), Toxicology (11 citations), Molecular Biology (174 citations) and Structural Biology (3 citations). Darwin Fu has collaborated with scholars based in United States and Germany. Frequent co-authors include Jacob Hughey, Jens Meiler, Jonathan H. Sheehan, Alexander M. Sevy, Amandeep K. Sangha, Gregory Sliwoski, Frank DiMaio, Rocco Moretti, Brian J. Bender and Amanda M. Duran. Their work appears in journals such as Scientific Reports, BMC Genomics, ACS Omega, Biochemistry and eLife.

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.

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