Fangli Chen
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- Developmental Biology and Gene Regulation 3
- RNA Research and Splicing 3
-
- Acute Myeloid Leukemia Research 8
- Co-authors
- Ilaria Rebay (4 shared papers)Barbara Conradt (1 shared paper)Bradley M. Hersh (1 shared paper)Yosef Gruenbaum (1 shared paper)Dieter Riemer (1 shared paper)Zheng Zhou (1 shared paper)H. Robert Horvitz (1 shared paper)Laili Wang (5 shared papers)
- Journals
- Blood (6 papers)Experimental Hematology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Cellular and Molecular Medicine (2 papers)genesis (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fangli Chen
42 papers receiving 894 citations
Peers
Comparison fields: 5 of 119
- Aging 108
- Hematology 146
- Molecular Biology 531
- Genetics 59
- Cell Biology 81
Countries citing papers authored by Fangli Chen
This map shows the geographic impact of Fangli Chen'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 Fangli Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangli Chen more than expected).
Fields of papers citing papers by Fangli Chen
This network shows the impact of papers produced by Fangli Chen. 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 Fangli Chen. The network helps show where Fangli Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangli Chen, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 203 | |
| 2 | 2000 | 115 | |
| 3 | 2017 | 110 | |
| 4 | 2000 | 47 | |
| 5 | 2016 | 36 | |
| 6 | 2020 | 31 | |
| 7 | 1997 | 30 | |
| 8 | 2003 | 30 | |
| 9 | 1997 | 29 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 24 | |
| 12 | 2021 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 10 |
About Fangli Chen
Fangli Chen is a scholar working on Molecular Biology, Hematology, Environmental Engineering, Economics and Econometrics and Genetics, having authored 46 papers that have together received 903 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Environmental Impact and Sustainability (6 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Developmental Biology and Gene Regulation (3 papers), RNA Research and Splicing (3 papers), Energy, Environment, Economic Growth (3 papers) and Environmental Sustainability in Business (2 papers). The work is most often cited by research in Aging (108 citations), Hematology (146 citations), Molecular Biology (531 citations), Genetics (59 citations) and Cell Biology (81 citations). Fangli Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ilaria Rebay, Barbara Conradt, Bradley M. Hersh, Yosef Gruenbaum, Dieter Riemer, Zheng Zhou, H. Robert Horvitz, Laili Wang, Hitoshi Kiyoi and Tomoki Naoe. Their work appears in journals such as Blood, Experimental Hematology, Proceedings of the National Academy of Sciences, Journal of Cellular and Molecular Medicine and genesis.
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.