Fenglin Li
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Structural Biology top 10%
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 7
-
- RNA and protein synthesis mechanisms 7
- Protein Degradation and Inhibitors 4
- Histone Deacetylase Inhibitors Research 4
- Co-authors
- Jie Jin (30 shared papers)Jiansong Huang (20 shared papers)Gino Cingolani (14 shared papers)Huafeng Wang (8 shared papers)Chun-Feng David Hou (13 shared papers)Ravi K. Lokareddy (11 shared papers)Xiangjie Lin (14 shared papers)Wenle Ye (19 shared papers)
- Journals
- Nature Communications (5 papers)Journal of Translational Medicine (5 papers)Fish & Shellfish Immunology (4 papers)Journal of Molecular Biology (3 papers)Blood (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fenglin Li
91 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Hematology 152
- Structural Biology 14
- Genetics 88
- Ecology 215
- Molecular Biology 510
Countries citing papers authored by Fenglin Li
This map shows the geographic impact of Fenglin Li'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 Fenglin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenglin Li more than expected).
Fields of papers citing papers by Fenglin Li
This network shows the impact of papers produced by Fenglin Li. 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 Fenglin Li. The network helps show where Fenglin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fenglin Li, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2021 | 56 | |
| 3 | 2022 | 53 | |
| 4 | 2018 | 51 | |
| 5 | 2022 | 43 | |
| 6 | 2024 | 41 | |
| 7 | 2017 | 40 | |
| 8 | 2021 | 39 | |
| 9 | 2023 | 38 | |
| 10 | 2022 | 34 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 33 | |
| 13 | 2018 | 32 | |
| 14 | 2020 | 25 | |
| 15 | Hypoglycemic and hypolipidemic effects of flavonoids from tatary buckwheat in type 2 diabetic rats. | 2016 | 22 |
| 16 | 2022 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2018 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2020 | 18 |
About Fenglin Li
Fenglin Li is a scholar working on Hematology, Molecular Biology, Genetics, Ecology and Structural Biology, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Bacteriophages and microbial interactions (12 papers), RNA and protein synthesis mechanisms (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Protein Degradation and Inhibitors (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Hematology (152 citations), Structural Biology (14 citations), Genetics (88 citations), Ecology (215 citations) and Molecular Biology (510 citations). Fenglin Li has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jie Jin, Jiansong Huang, Gino Cingolani, Huafeng Wang, Chun-Feng David Hou, Ravi K. Lokareddy, Xiangjie Lin, Wenle Ye, Jiajia Pan and Jinghan Wang. Their work appears in journals such as Nature Communications, Journal of Translational Medicine, Fish & Shellfish Immunology, Journal of Molecular Biology and Blood.
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.