Dax Fu
Impact in
- Nutrition and Dietetics top 0.5%
- Trace Elements in Health
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- Heavy Metal Exposure and Toxicity
Papers in
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- Trace Elements in Health 18
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- Ion channel regulation and function 8
- Ion Transport and Channel Regulation 4
- Co-authors
- Min Lu (3 shared papers)Jin Chai (4 shared papers)Peter Nollert (2 shared papers)Larry J. W. Miercke (2 shared papers)R. M. Stroud (1 shared paper)Cindy Weitzman (1 shared paper)J. Krucinski (1 shared paper)Yinan Wei (3 shared papers)
- Journals
- Journal of Biological Chemistry (19 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Diabetes (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Dax Fu
39 papers receiving 2.9k citations
Dax Fu's Hit Papers
Peers
Comparison fields: 5 of 123
- Nutrition and Dietetics 1.2k
- Health, Toxicology and Mutagenesis 512
- Hematology 281
- Molecular Biology 1.4k
- Plant Science 548
Countries citing papers authored by Dax Fu
This map shows the geographic impact of Dax 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 Dax Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dax Fu more than expected).
Fields of papers citing papers by Dax Fu
This network shows the impact of papers produced by Dax 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 Dax Fu. The network helps show where Dax Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dax 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure of a Glycerol-Conducting Channel and the Basis for Its Selectivity Hit paper breakdown → | 2000 | 813 |
| 2 | 2007 | 306 | |
| 3 | 2009 | 207 | |
| 4 | 2021 | 163 | |
| 5 | 2004 | 117 | |
| 6 | 2012 | 113 | |
| 7 | 2004 | 99 | |
| 8 | 2005 | 96 | |
| 9 | 2010 | 89 | |
| 10 | 2005 | 88 | |
| 11 | 2014 | 83 | |
| 12 | 2007 | 73 | |
| 13 | 2006 | 73 | |
| 14 | 2016 | 64 | |
| 15 | 2004 | 51 | |
| 16 | 1998 | 35 | |
| 17 | 2001 | 34 | |
| 18 | 2014 | 33 | |
| 19 | 2017 | 33 | |
| 20 | 1997 | 30 |
About Dax Fu
Dax Fu is a scholar working on Nutrition and Dietetics, Molecular Biology, Genetics, Health, Toxicology and Mutagenesis and Plant Science, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Trace Elements in Health (18 papers), Ion channel regulation and function (8 papers), Diabetes and associated disorders (7 papers), Aluminum toxicity and tolerance in plants and animals (7 papers), Heavy Metal Exposure and Toxicity (7 papers), Pancreatic function and diabetes (7 papers), Electrochemical Analysis and Applications (4 papers) and Ion Transport and Channel Regulation (4 papers). The work is most often cited by research in Nutrition and Dietetics (1.2k citations), Health, Toxicology and Mutagenesis (512 citations), Hematology (281 citations), Molecular Biology (1.4k citations) and Plant Science (548 citations). Dax Fu has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Min Lu, Jin Chai, Peter Nollert, Larry J. W. Miercke, R. M. Stroud, Cindy Weitzman, J. Krucinski, Yinan Wei, Taiho Kambe and KM Taylor. Their work appears in journals such as Journal of Biological Chemistry, Science, Proceedings of the National Academy of Sciences, Diabetes and Journal of Clinical Oncology.
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.