Die Hu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
Papers in
-
- Extracellular vesicles in disease 7
- RNA Interference and Gene Delivery 3
-
- MicroRNA in disease regulation 5
- Co-authors
- Yi Zhang (9 shared papers)Qifei Deng (1 shared paper)Kun Huang (1 shared paper)Huan Guo (1 shared paper)Lei Guan (1 shared paper)Wangzhen Zhang (1 shared paper)Tangchun Wu (1 shared paper)Xiao Zhang (1 shared paper)
- Journals
- Pharmaceutics (3 papers)Journal of Ethnopharmacology (3 papers)Scientific Reports (2 papers)Ecotoxicology and Environmental Safety (2 papers)Advanced Therapeutics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Die Hu
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Biological Psychiatry 99
- Behavioral Neuroscience 47
- Cancer Research 179
- Health, Toxicology and Mutagenesis 140
- Developmental Neuroscience 36
Countries citing papers authored by Die Hu
This map shows the geographic impact of Die 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 Die Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Die Hu more than expected).
Fields of papers citing papers by Die Hu
This network shows the impact of papers produced by Die 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 Die Hu. The network helps show where Die Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Die 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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 182 | |
| 2 | 2020 | 123 | |
| 3 | 2022 | 110 | |
| 4 | 2021 | 51 | |
| 5 | 2023 | 43 | |
| 6 | 2015 | 39 | |
| 7 | 2020 | 36 | |
| 8 | 2022 | 36 | |
| 9 | 2017 | 30 | |
| 10 | 2022 | 30 | |
| 11 | 2021 | 28 | |
| 12 | 2018 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2017 | 26 | |
| 15 | 2023 | 25 | |
| 16 | 2024 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2024 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2021 | 16 |
About Die Hu
Die Hu is a scholar working on Molecular Biology, Cancer Research, Immunology, Cellular and Molecular Neuroscience and Dermatology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (5 papers), Dermatologic Treatments and Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Interference and Gene Delivery (3 papers), Immune cells in cancer (3 papers), Neuropeptides and Animal Physiology (2 papers) and Acupuncture Treatment Research Studies (2 papers). The work is most often cited by research in Biological Psychiatry (99 citations), Behavioral Neuroscience (47 citations), Cancer Research (179 citations), Health, Toxicology and Mutagenesis (140 citations) and Developmental Neuroscience (36 citations). Die Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yi Zhang, Qifei Deng, Kun Huang, Huan Guo, Lei Guan, Wangzhen Zhang, Tangchun Wu, Xiao Zhang, Dan Kuang and Jie Shi. Their work appears in journals such as Pharmaceutics, Journal of Ethnopharmacology, Scientific Reports, Ecotoxicology and Environmental Safety and Advanced Therapeutics.
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.