Huan Gu
Impact in
- Surfaces, Coatings and Films top 5%
- Polymer Surface Interaction Studies
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bacterial biofilms and quorum sensing 11
- RNA Interference and Gene Delivery 5
- Melanoma and MAPK Pathways 3
-
- Cancer Mechanisms and Therapy 5
- Co-authors
- Dacheng Ren (13 shared papers)Shuyu Hou (2 shared papers)Sang Won Lee (2 shared papers)Jinming Zhang (7 shared papers)Mehdi Kazemzadeh‐Narbat (1 shared paper)K. Scott Phillips (1 shared paper)Cassandra L. Smith (1 shared paper)Min Yu (4 shared papers)
- Journals
- Oncotarget (4 papers)International Journal of Nanomedicine (4 papers)Langmuir (3 papers)Food and Chemical Toxicology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huan Gu
71 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 130
- Surfaces, Coatings and Films 134
- Cancer Research 269
- Molecular Medicine 65
- Biomaterials 171
- Molecular Biology 873
Countries citing papers authored by Huan Gu
This map shows the geographic impact of Huan Gu'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 Huan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Gu more than expected).
Fields of papers citing papers by Huan Gu
This network shows the impact of papers produced by Huan Gu. 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 Huan Gu. The network helps show where Huan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huan Gu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2019 | 117 | |
| 3 | 2021 | 115 | |
| 4 | 2011 | 113 | |
| 5 | 2018 | 95 | |
| 6 | 2020 | 72 | |
| 7 | 2016 | 63 | |
| 8 | 2021 | 57 | |
| 9 | 2014 | 57 | |
| 10 | 2013 | 55 | |
| 11 | 2016 | 48 | |
| 12 | 2023 | 42 | |
| 13 | 2003 | 40 | |
| 14 | 2009 | 39 | |
| 15 | 2017 | 35 | |
| 16 | 2012 | 35 | |
| 17 | 2021 | 33 | |
| 18 | 2022 | 33 | |
| 19 | 2023 | 32 | |
| 20 | 2023 | 30 |
About Huan Gu
Huan Gu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Organic Chemistry and Epidemiology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (11 papers), Cancer Mechanisms and Therapy (5 papers), Polymer Surface Interaction Studies (5 papers), RNA Interference and Gene Delivery (5 papers), Antimicrobial Peptides and Activities (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Melanoma and MAPK Pathways (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (134 citations), Cancer Research (269 citations), Molecular Medicine (65 citations), Biomaterials (171 citations) and Molecular Biology (873 citations). Huan Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dacheng Ren, Shuyu Hou, Sang Won Lee, Jinming Zhang, Mehdi Kazemzadeh‐Narbat, K. Scott Phillips, Cassandra L. Smith, Min Yu, Lei Ding and Qinghua Cui. Their work appears in journals such as Oncotarget, International Journal of Nanomedicine, Langmuir, Food and Chemical Toxicology and Biochemical and Biophysical Research Communications.
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.