Hou‐Fu Guo
Impact in
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- Cancer, Hypoxia, and Metabolism
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
- Cell Biology 11
- Aldose Reductase and Taurine 5
- Cellular transport and secretion 4
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- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Craig W. Vander Kooi (8 shared papers)Matthew W. Parker (3 shared papers)Jonathan M. Kurie (15 shared papers)Priyam Banerjee (9 shared papers)David A. Meekins (3 shared papers)Mitsuo Yamauchi (12 shared papers)Matthew S. Gentry (3 shared papers)Masahiko Terajima (9 shared papers)
- Journals
- Biochemistry (3 papers)Journal of Clinical Investigation (3 papers)Proceedings of the National Academy of Sciences (3 papers)Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Hou‐Fu Guo
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 156
- Biotechnology 93
- Cell Biology 161
- Cellular and Molecular Neuroscience 177
- Molecular Biology 604
Countries citing papers authored by Hou‐Fu Guo
This map shows the geographic impact of Hou‐Fu Guo'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 Hou‐Fu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hou‐Fu Guo more than expected).
Fields of papers citing papers by Hou‐Fu Guo
This network shows the impact of papers produced by Hou‐Fu Guo. 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 Hou‐Fu Guo. The network helps show where Hou‐Fu Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hou‐Fu Guo, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2016 | 86 | |
| 3 | 2012 | 71 | |
| 4 | 2016 | 64 | |
| 5 | 2014 | 58 | |
| 6 | 2020 | 55 | |
| 7 | 2010 | 47 | |
| 8 | 2013 | 46 | |
| 9 | 2016 | 46 | |
| 10 | 2018 | 43 | |
| 11 | 2012 | 40 | |
| 12 | 2014 | 37 | |
| 13 | 2013 | 36 | |
| 14 | 2020 | 36 | |
| 15 | 2008 | 30 | |
| 16 | 2021 | 30 | |
| 17 | 2021 | 28 | |
| 18 | 2006 | 27 | |
| 19 | 2021 | 22 | |
| 20 | 2018 | 21 |
About Hou‐Fu Guo
Hou‐Fu Guo is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Biotechnology and Rheumatology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Axon Guidance and Neuronal Signaling (5 papers), Aldose Reductase and Taurine (5 papers), Cellular transport and secretion (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Glycogen Storage Diseases and Myoclonus (3 papers). The work is most often cited by research in Cancer Research (156 citations), Biotechnology (93 citations), Cell Biology (161 citations), Cellular and Molecular Neuroscience (177 citations) and Molecular Biology (604 citations). Hou‐Fu Guo has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Craig W. Vander Kooi, Matthew W. Parker, Jonathan M. Kurie, Priyam Banerjee, David A. Meekins, Mitsuo Yamauchi, Matthew S. Gentry, Masahiko Terajima, Xin Liu and Xiaobo Li. Their work appears in journals such as Biochemistry, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, Scientific Reports 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.