Die Hu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Extracellular vesicles in disease 9
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 7
- Co-authors
- Xiao Zhang (1 shared paper)Lei Guan (1 shared paper)Yi Zhang (9 shared papers)Kun Huang (1 shared paper)Dan Kuang (1 shared paper)Wangzhen Zhang (1 shared paper)Qifei Deng (1 shared paper)Huan Guo (1 shared paper)
- Journals
- Journal of Ethnopharmacology (3 papers)Pharmaceutics (3 papers)Scientific Reports (2 papers)Frontiers in Immunology (2 papers)Lasers in Medical Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Die Hu
58 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Biological Psychiatry 122
- Behavioral Neuroscience 67
- Cancer Research 202
- Health, Toxicology and Mutagenesis 161
- Developmental Neuroscience 38
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 180 | |
| 2 | 2020 | 116 | |
| 3 | Burnout and well-being of healthcare workers in the post-pandemic period of COVID-19: a perspective from the job demands-resources model Hit paper breakdown → | 2022 | 100 |
| 4 | 2021 | 45 | |
| 5 | 2023 | 38 | |
| 6 | 2015 | 38 | |
| 7 | 2022 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 2017 | 30 | |
| 10 | 2022 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2023 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2020 | 19 | |
| 17 | 2024 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2012 | 14 | |
| 20 | 2022 | 14 |
About Die Hu
Die Hu is a scholar working on Molecular Biology, Cancer Research, Immunology, Biological Psychiatry and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (7 papers), Tryptophan and brain disorders (6 papers), Dermatologic Treatments and Research (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Acne and Rosacea Treatments and Effects (4 papers), Genetic factors in colorectal cancer (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biological Psychiatry (122 citations), Behavioral Neuroscience (67 citations), Cancer Research (202 citations), Health, Toxicology and Mutagenesis (161 citations) and Developmental Neuroscience (38 citations). Die Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao Zhang, Lei Guan, Yi Zhang, Kun Huang, Dan Kuang, Wangzhen Zhang, Qifei Deng, Huan Guo, Tangchun Wu and Jie Shi. Their work appears in journals such as Journal of Ethnopharmacology, Pharmaceutics, Scientific Reports, Frontiers in Immunology and Lasers in Medical Science.
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.