Fen Hu
- Microbiology top 0.2%
- Bacterial Infections and Vaccines 15
- Otorhinolaryngology top 0.5%
- Periodontics top 1%
- Endocrinology top 2%
- Epidemiology top 2%
- Pneumonia and Respiratory Infections 21
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- MicroRNA in disease regulation 16
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- Satellite Image Processing and Photogrammetry 14
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- Bacterial biofilms and quorum sensing 11
- Circular RNAs in diseases 9
- Genomics and Phylogenetic Studies 8
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- Ion Channels and Receptors 10
- Co-authors
- Garth D. EhrlichJ. Christopher PostPaul StoodleyN. Luisa HillerJay HayesBenjamin JantoLaura NisticoLuanne Hall‐Stoodley
- Journals
- PLoS ONE (11 papers)Biochemical and Biophysical Research Communications (7 papers)Journal of Bacteriology (5 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Fen Hu
194 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Microbiology 1.0k
- Otorhinolaryngology 499
- Periodontics 249
- Endocrinology 234
- Epidemiology 1.5k
Countries citing papers authored by Fen Hu
This map shows the geographic impact of Fen Hu'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 Fen Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Hu more than expected).
Fields of papers citing papers by Fen Hu
This network shows the impact of papers produced by Fen Hu. 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 Fen Hu. The network helps show where Fen Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fen Hu, 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 27 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 5 | |
| 13 | Induction of adventitious roots during tissue culture of Acacia mangium and A. auriculiformis elite trees | 2015 | 3 |
| 14 | 2015 | 3 | |
| 15 | 2013 | 190 | |
| 16 | 2012 | 126 | |
| 17 | 2012 | 32 | |
| 18 | 2010 | 109 | |
| 19 | 2008 | 3 | |
| 20 | The species composition and quantity distribution of pelagic eggs, fish larvae and juveniles in the East China Sea region in spring 2003 | 2004 | 2 |
About Fen Hu
Fen Hu is a scholar working on Microbiology, Sensory Systems, Cancer Research, Physiology and Molecular Biology, having authored 204 papers that have together received 6.6k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (21 papers), MicroRNA in disease regulation (16 papers), Bacterial Infections and Vaccines (15 papers), Satellite Image Processing and Photogrammetry (14 papers), Bacterial biofilms and quorum sensing (11 papers), Ion Channels and Receptors (10 papers), Circular RNAs in diseases (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Microbiology (1.0k citations), Otorhinolaryngology (499 citations), Periodontics (249 citations), Endocrinology (234 citations) and Epidemiology (1.5k citations). Fen Hu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Garth D. Ehrlich, J. Christopher Post, Paul Stoodley, N. Luisa Hiller, Jay Hayes, Benjamin Janto, Laura Nistico, Luanne Hall‐Stoodley, Bethany Dice and Mi Wang. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Journal of Bacteriology, Remote Sensing and BMC Genomics.
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.