Wang Fen
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 7
-
- Liver physiology and pathology 2
- Co-authors
- Chundong Yu (2 shared papers)Wallace L. McKeehan (2 shared papers)Chengliu Jin (2 shared papers)Mingyao Liu (2 shared papers)Xinqiang Huang (1 shared paper)Claudio Basilico (1 shared paper)David Lee Miller (1 shared paper)Waikin Chan (1 shared paper)
- Journals
- Parkinsonism & Related Disorders (2 papers)American Journal Of Pathology (2 papers)Behavioural Brain Research (1 paper)Cytokine (1 paper)Neuroreport (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wang Fen
33 papers receiving 805 citations
Peers
Comparison fields: 5 of 77
- Hepatology 122
- Endocrine and Autonomic Systems 42
- Sensory Systems 38
- Oncology 115
- Neurology 63
Countries citing papers authored by Wang Fen
This map shows the geographic impact of Wang Fen'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 Wang Fen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Fen more than expected).
Fields of papers citing papers by Wang Fen
This network shows the impact of papers produced by Wang Fen. 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 Wang Fen. The network helps show where Wang Fen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Fen, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 141 | |
| 2 | 2002 | 112 | |
| 3 | 2018 | 71 | |
| 4 | 2001 | 64 | |
| 5 | 2005 | 61 | |
| 6 | 2015 | 56 | |
| 7 | 2020 | 51 | |
| 8 | 2011 | 31 | |
| 9 | 2018 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2017 | 20 | |
| 12 | 2009 | 19 | |
| 13 | 2021 | 19 | |
| 14 | Integrated interventions for improving negative emotions and stress reactions of young women receiving total hysterectomy. | 2014 | 18 |
| 15 | 2016 | 15 | |
| 16 | 2010 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 11 |
About Wang Fen
Wang Fen is a scholar working on Neurology, Hepatology, Pulmonary and Respiratory Medicine, Oncology and Psychiatry and Mental health, having authored 37 papers that have together received 823 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Prostate Cancer Treatment and Research (2 papers), Liver physiology and pathology (2 papers), Maternal Mental Health During Pregnancy and Postpartum (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Migraine and Headache Studies (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hepatology (122 citations), Endocrine and Autonomic Systems (42 citations), Sensory Systems (38 citations), Oncology (115 citations) and Neurology (63 citations). Wang Fen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chundong Yu, Wallace L. McKeehan, Chengliu Jin, Mingyao Liu, Xinqiang Huang, Claudio Basilico, David Lee Miller, Waikin Chan, Xiaochong Wu and Parvesh Kumar. Their work appears in journals such as Parkinsonism & Related Disorders, American Journal Of Pathology, Behavioural Brain Research, Cytokine and Neuroreport.
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.