Jack Fu
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
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- Genetics and Neurodevelopmental Disorders
Papers in
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- Biomedical Text Mining and Ontologies 4
- Ubiquitin and proteasome pathways 2
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- Semantic Web and Ontologies 7
- Co-authors
- Ernest Martinez (1 shared paper)Tapas K. Kundu (1 shared paper)Robert G. Roeder (1 shared paper)Michael E. Talkowski (6 shared papers)Michael Delannoy (1 shared paper)Chan Hyun Na (1 shared paper)Thomas Schaffer (1 shared paper)Seth S. Margolis (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nature Genetics (2 papers)Cell Genomics (1 paper)Genetic Epidemiology (1 paper)JAMA Pediatrics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jack Fu
18 papers receiving 410 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 274
- Genetics 85
- Cell Biology 32
- Cancer Research 26
- Cognitive Neuroscience 35
Countries citing papers authored by Jack Fu
This map shows the geographic impact of Jack 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 Jack Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Fu more than expected).
Fields of papers citing papers by Jack Fu
This network shows the impact of papers produced by Jack 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 Jack Fu. The network helps show where Jack Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack 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 | 1998 | 161 | |
| 2 | 2018 | 58 | |
| 3 | 2023 | 46 | |
| 4 | 2023 | 40 | |
| 5 | 2021 | 25 | |
| 6 | 2022 | 21 | |
| 7 | 2004 | 18 | |
| 8 | 2002 | 12 | |
| 9 | 2016 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2007 | 5 | |
| 12 | 2007 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2006 | 3 | |
| 16 | 2018 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 2007 | 1 |
About Jack Fu
Jack Fu is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Genetics and Information Systems, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (6 papers), Biomedical Text Mining and Ontologies (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Molecular Biology (274 citations), Genetics (85 citations), Cell Biology (32 citations), Cancer Research (26 citations) and Cognitive Neuroscience (35 citations). Jack Fu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ernest Martinez, Tapas K. Kundu, Robert G. Roeder, Michael E. Talkowski, Michael Delannoy, Chan Hyun Na, Thomas Schaffer, Seth S. Margolis, Kapil V. Ramachandran and Ramez Elmasri. Their work appears in journals such as Bioinformatics, Nature Genetics, Cell Genomics, Genetic Epidemiology and JAMA Pediatrics.
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.