Fen Pan
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Biological Psychiatry top 10%
Papers in
-
- Antibiotic Resistance in Bacteria 16
-
- Transcranial Magnetic Stimulation Studies 6
- Co-authors
- Hong Zhang (17 shared papers)Chun Wang (8 shared papers)Manli Huang (21 shared papers)Yan Sun (7 shared papers)Yingying Shi (9 shared papers)Dongxing Tian (3 shared papers)Yi Xu (13 shared papers)Shaohua Hu (10 shared papers)
- Journals
- Infection and Drug Resistance (6 papers)Journal of Affective Disorders (3 papers)Microbiology Spectrum (2 papers)Medicine (2 papers)mSystems (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fen Pan
61 papers receiving 928 citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 269
- Biological Psychiatry 39
- Endocrinology 86
- Neurology 101
- Applied Microbiology and Biotechnology 22
Countries citing papers authored by Fen Pan
This map shows the geographic impact of Fen Pan'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 Fen Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Pan more than expected).
Fields of papers citing papers by Fen Pan
This network shows the impact of papers produced by Fen Pan. 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 Fen Pan. The network helps show where Fen Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Pan, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2020 | 66 | |
| 3 | 2022 | 53 | |
| 4 | 2017 | 52 | |
| 5 | 2018 | 48 | |
| 6 | 2020 | 47 | |
| 7 | 2019 | 45 | |
| 8 | 2015 | 39 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 38 | |
| 11 | 2023 | 37 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 25 | |
| 14 | 2022 | 24 | |
| 15 | 2023 | 22 | |
| 16 | 2017 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 16 |
About Fen Pan
Fen Pan is a scholar working on Molecular Medicine, Neurology, Cognitive Neuroscience, Clinical Biochemistry and Epidemiology, having authored 63 papers that have together received 944 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Functional Brain Connectivity Studies (9 papers), Transcranial Magnetic Stimulation Studies (6 papers), Pneumonia and Respiratory Infections (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Treatment of Major Depression (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Molecular Medicine (269 citations), Biological Psychiatry (39 citations), Endocrinology (86 citations), Neurology (101 citations) and Applied Microbiology and Biotechnology (22 citations). Fen Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong Zhang, Chun Wang, Manli Huang, Yan Sun, Yingying Shi, Dongxing Tian, Yi Xu, Shaohua Hu, Shaojia Lu and Tian-Dong Zhang. Their work appears in journals such as Infection and Drug Resistance, Journal of Affective Disorders, Microbiology Spectrum, Medicine and mSystems.
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.