Fanye Meng
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 7
- Ubiquitin and proteasome pathways 6
- Fibroblast Growth Factor Research 2
- Histone Deacetylase Inhibitors Research 2
- Oncology 7
- Peptidase Inhibition and Analysis 5
- Co-authors
- Jian Jin (8 shared papers)H. Ümit Kanıskan (6 shared papers)He Chen (3 shared papers)Yudao Shen (3 shared papers)Yi Liu (1 shared paper)Wenyi Wei (1 shared paper)Jing Liu (1 shared paper)Junying Liu (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of the American Chemical Society (2 papers)Nature Communications (1 paper)Advanced Science (1 paper)Plant Disease (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fanye Meng
19 papers receiving 849 citations
Fanye Meng's Hit Papers
Peers
Comparison fields: 5 of 100
- Hematology 135
- Oncology 262
- Molecular Biology 607
- Developmental Neuroscience 23
- Psychiatry and Mental health 52
Countries citing papers authored by Fanye Meng
This map shows the geographic impact of Fanye Meng'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 Fanye Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanye Meng more than expected).
Fields of papers citing papers by Fanye Meng
This network shows the impact of papers produced by Fanye Meng. 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 Fanye Meng. The network helps show where Fanye Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanye Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cancer Selective Target Degradation by Folate-Caged PROTACs Hit paper breakdown → | 2021 | 235 |
| 2 | 2020 | 148 | |
| 3 | 2021 | 104 | |
| 4 | 2010 | 67 | |
| 5 | 2014 | 67 | |
| 6 | 2021 | 45 | |
| 7 | 2023 | 42 | |
| 8 | 2022 | 41 | |
| 9 | 2020 | 30 | |
| 10 | 2023 | 20 | |
| 11 | 2016 | 16 | |
| 12 | 2024 | 12 | |
| 13 | 2025 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2024 | 1 |
About Fanye Meng
Fanye Meng is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Hematology and Biomedical Engineering, having authored 19 papers that have together received 872 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (5 papers), Muscle activation and electromyography studies (2 papers), Fibroblast Growth Factor Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Hematology (135 citations), Oncology (262 citations), Molecular Biology (607 citations), Developmental Neuroscience (23 citations) and Psychiatry and Mental health (52 citations). Fanye Meng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jian Jin, H. Ümit Kanıskan, He Chen, Yudao Shen, Yi Liu, Wenyi Wei, Jing Liu, Junying Liu, Richard Fellows and Kwang‐Su Park. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Chemical Society, Nature Communications, Advanced Science and Plant Disease.
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.