Yige Fu
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
-
- Peptidase Inhibition and Analysis
Papers in
-
- Advanced biosensing and bioanalysis techniques 6
- Protein Degradation and Inhibitors 5
- RNA Interference and Gene Delivery 5
- Oncology 6
- Drug Transport and Resistance Mechanisms 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Ketan Patel (15 shared papers)Manali Patki (6 shared papers)Aishwarya Saraswat (4 shared papers)Vikas V. Dukhande (3 shared papers)Pavan Kumar Nukala (3 shared papers)Siddhant Palekar (3 shared papers)Kelly Zhang (3 shared papers)Richa Vartak (3 shared papers)
- Journals
- International Journal of Pharmaceutics (3 papers)Pharmaceutics (2 papers)Current Pharmaceutical Biotechnology (2 papers)Frontiers in Pharmacology (2 papers)Journal of Chromatography A (2 papers)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Yige Fu
22 papers receiving 636 citations
Peers
Comparison fields: 5 of 83
- Pharmaceutical Science 88
- Oncology 193
- Biomaterials 80
- Molecular Biology 393
- Hematology 48
Countries citing papers authored by Yige Fu
This map shows the geographic impact of Yige Fu'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 Yige Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yige Fu more than expected).
Fields of papers citing papers by Yige Fu
This network shows the impact of papers produced by Yige Fu. 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 Yige Fu. The network helps show where Yige Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yige Fu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2022 | 55 | |
| 3 | 2019 | 53 | |
| 4 | 2019 | 51 | |
| 5 | 2021 | 45 | |
| 6 | 2019 | 36 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 33 | |
| 9 | 2022 | 28 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2021 | 24 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2023 | 20 | |
| 18 | 2020 | 15 | |
| 19 | 2014 | 8 | |
| 20 | 2022 | 7 |
About Yige Fu
Yige Fu is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Infectious Diseases and Biomaterials, having authored 23 papers that have together received 644 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Protein Degradation and Inhibitors (5 papers), RNA Interference and Gene Delivery (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Multiple Myeloma Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Pharmaceutical Science (88 citations), Oncology (193 citations), Biomaterials (80 citations), Molecular Biology (393 citations) and Hematology (48 citations). Yige Fu has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Ketan Patel, Manali Patki, Aishwarya Saraswat, Vikas V. Dukhande, Pavan Kumar Nukala, Siddhant Palekar, Kelly Zhang, Richa Vartak, Zhe‐Sheng Chen and Jing‐Quan Wang. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutics, Current Pharmaceutical Biotechnology, Frontiers in Pharmacology and Journal of Chromatography A.
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.