Fen Long
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
-
- Epigenetics and DNA Methylation 3
- Natural product bioactivities and synthesis 2
- Oncology 4
- Co-authors
- Yi Zhun Zhu (16 shared papers)Xinhua Liu (15 shared papers)Di Yang (13 shared papers)Weijun Wu (11 shared papers)Mengwei Huang (9 shared papers)Chenxi Xiao (9 shared papers)Ming Qin (8 shared papers)Wanwan Jia (7 shared papers)
- Journals
- The FASEB Journal (3 papers)Cardiovascular Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Hepatology (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaMacaoSwitzerland
In The Last Decade
Fen Long
25 papers receiving 899 citations
Peers
Comparison fields: 5 of 102
- Biochemistry 99
- Immunology 121
- Biomaterials 73
- Molecular Biology 361
- Cancer Research 72
Countries citing papers authored by Fen Long
This map shows the geographic impact of Fen Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Long more than expected).
Fields of papers citing papers by Fen Long
This network shows the impact of papers produced by Fen Long. 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 Long. The network helps show where Fen Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Long, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2023 | 71 | |
| 3 | 2023 | 67 | |
| 4 | 2018 | 56 | |
| 5 | 2019 | 56 | |
| 6 | 2018 | 54 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 45 | |
| 9 | 2017 | 43 | |
| 10 | 2020 | 42 | |
| 11 | 2023 | 39 | |
| 12 | 2017 | 37 | |
| 13 | 2018 | 37 | |
| 14 | 2018 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2023 | 33 | |
| 17 | 2020 | 24 | |
| 18 | 2020 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2024 | 19 |
About Fen Long
Fen Long is a scholar working on Molecular Biology, Oncology, Physiology, Biochemistry and Immunology, having authored 25 papers that have together received 900 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (3 papers), Epigenetics and DNA Methylation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Conducting polymers and applications (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Natural product bioactivities and synthesis (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Biochemistry (99 citations), Immunology (121 citations), Biomaterials (73 citations), Molecular Biology (361 citations) and Cancer Research (72 citations). Fen Long has collaborated with scholars based in China, Macao and Switzerland. Frequent co-authors include Yi Zhun Zhu, Xinhua Liu, Di Yang, Weijun Wu, Mengwei Huang, Chenxi Xiao, Ming Qin, Wanwan Jia, Zhenghua Su and Naibo Lin. Their work appears in journals such as The FASEB Journal, Cardiovascular Research, Biochemical and Biophysical Research Communications, Journal of Hepatology and Advanced 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.