Hao Yan
Impact in
- Physiology top 5%
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Epidemiology 16
- Autophagy in Disease and Therapy 14
- Co-authors
- Peihua Luo (39 shared papers)Qiaojun He (38 shared papers)Zhifei Xu (37 shared papers)Bo Yang (28 shared papers)Xiaochun Yang (18 shared papers)Hong Zhu (2 shared papers)Xin Xie (1 shared paper)Heling Pan (1 shared paper)
- Journals
- Biochemical Pharmacology (5 papers)Autophagy (5 papers)Toxicology Letters (5 papers)Expert Opinion on Drug Metabolism & Toxicology (3 papers)Journal of Assisted Reproduction and Genetics (2 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Hao Yan
80 papers receiving 1.9k citations
Hao Yan's Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 91
- Epidemiology 429
- Cancer Research 174
- Geriatrics and Gerontology 36
- Oncology 285
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao Yan'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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao Yan. 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Yan, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 389 | |
| 2 | 2020 | 148 | |
| 3 | 2021 | 71 | |
| 4 | 2019 | 71 | |
| 5 | 2020 | 64 | |
| 6 | 2020 | 64 | |
| 7 | 2023 | 64 | |
| 8 | 2020 | 58 | |
| 9 | 2021 | 49 | |
| 10 | 2018 | 47 | |
| 11 | 2021 | 45 | |
| 12 | 2018 | 43 | |
| 13 | 2018 | 40 | |
| 14 | 2021 | 36 | |
| 15 | 2019 | 36 | |
| 16 | 2023 | 35 | |
| 17 | 2023 | 34 | |
| 18 | 2020 | 34 | |
| 19 | 2015 | 33 | |
| 20 | 2020 | 30 |
About Hao Yan
Hao Yan is a scholar working on Molecular Biology, Epidemiology, Dermatology, Oncology and Pathology and Forensic Medicine, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Dermatologic Treatments and Research (13 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Lung Cancer Treatments and Mutations (7 papers), Reproductive Biology and Fertility (5 papers), Chemotherapy-induced organ toxicity mitigation (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Physiology (91 citations), Epidemiology (429 citations), Cancer Research (174 citations), Geriatrics and Gerontology (36 citations) and Oncology (285 citations). Hao Yan has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Peihua Luo, Qiaojun He, Zhifei Xu, Bo Yang, Xiaochun Yang, Hong Zhu, Xin Xie, Heling Pan, Jia Yu and Lihong Zhang. Their work appears in journals such as Biochemical Pharmacology, Autophagy, Toxicology Letters, Expert Opinion on Drug Metabolism & Toxicology and Journal of Assisted Reproduction and Genetics.
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.