Wang Fen
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
Papers in
-
- Fibroblast Growth Factor Research 3
- Kruppel-like factors research 2
- Receptor Mechanisms and Signaling 2
- Co-authors
- Chengliu Jin (2 shared papers)Wallace L. McKeehan (2 shared papers)Chundong Yu (2 shared papers)Mingyao Liu (2 shared papers)Claudio Basilico (1 shared paper)David L. Miller (1 shared paper)Xinqiang Huang (1 shared paper)Waikin Chan (1 shared paper)
- Journals
- Parkinsonism & Related Disorders (2 papers)American Journal Of Pathology (2 papers)npj Parkinson s Disease (1 paper)Behavioural Brain Research (1 paper)Oncogene (1 paper)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Wang Fen
36 papers receiving 761 citations
Peers
Comparison fields: 5 of 102
- Hepatology 100
- Sensory Systems 51
- Endocrine and Autonomic Systems 39
- Pharmacology 36
- Aging 7
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 141 | |
| 2 | 2002 | 110 | |
| 3 | 2018 | 66 | |
| 4 | 2001 | 65 | |
| 5 | 2005 | 59 | |
| 6 | 2015 | 55 | |
| 7 | 2011 | 31 | |
| 8 | 2015 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2009 | 20 | |
| 11 | 2017 | 18 | |
| 12 | Integrated interventions for improving negative emotions and stress reactions of young women receiving total hysterectomy. | 2014 | 18 |
| 13 | 2021 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2017 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 10 |
About Wang Fen
Wang Fen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Surgery and Pharmacology, having authored 40 papers that have together received 775 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (3 papers), Olfactory and Sensory Function Studies (2 papers), Kruppel-like factors research (2 papers), Receptor Mechanisms and Signaling (2 papers), Fungal Biology and Applications (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Digital Media and Visual Art (1 paper). The work is most often cited by research in Hepatology (100 citations), Sensory Systems (51 citations), Endocrine and Autonomic Systems (39 citations), Pharmacology (36 citations) and Aging (7 citations). Wang Fen has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Chengliu Jin, Wallace L. McKeehan, Chundong Yu, Mingyao Liu, Claudio Basilico, David L. Miller, Xinqiang Huang, Waikin Chan, Xiaochong Wu and Parvesh Kumar. Their work appears in journals such as Parkinsonism & Related Disorders, American Journal Of Pathology, npj Parkinson s Disease, Behavioural Brain Research and Oncogene.
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.