Ruyi He
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Neurology top 10%
Papers in
-
- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 6
- RNA and protein synthesis mechanisms 6
- Extracellular vesicles in disease 4
- Oncology 4
- Co-authors
- Liang Zhao (6 shared papers)Yijie Shi (4 shared papers)N. Raphael Shulman (3 shared papers)Jia Liang (3 shared papers)Donald Reid (3 shared papers)Longyu Wang (7 shared papers)Yibin Jiang (2 shared papers)Yan Zheng (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Blood (3 papers)International Journal of Biological Macromolecules (2 papers)International Journal of Molecular Sciences (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ruyi He
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Hematology 210
- Neurology 102
- Cancer Research 178
- Molecular Biology 738
- Gastroenterology 39
Countries citing papers authored by Ruyi He
This map shows the geographic impact of Ruyi He'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 Ruyi He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruyi He more than expected).
Fields of papers citing papers by Ruyi He
This network shows the impact of papers produced by Ruyi He. 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 Ruyi He. The network helps show where Ruyi He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruyi He, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 162 | |
| 2 | 2019 | 153 | |
| 3 | 2020 | 129 | |
| 4 | 2019 | 110 | |
| 5 | 2020 | 95 | |
| 6 | 2007 | 73 | |
| 7 | 2020 | 71 | |
| 8 | 1992 | 60 | |
| 9 | 2021 | 49 | |
| 10 | 2009 | 48 | |
| 11 | 2022 | 42 | |
| 12 | 2020 | 40 | |
| 13 | 1995 | 36 | |
| 14 | 2010 | 35 | |
| 15 | 2020 | 30 | |
| 16 | 2021 | 27 | |
| 17 | 2018 | 24 | |
| 18 | 2022 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 1994 | 14 |
About Ruyi He
Ruyi He is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Infectious Diseases, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (6 papers), Extracellular vesicles in disease (4 papers), Bacteriophages and microbial interactions (3 papers), Cancer-related molecular mechanisms research (3 papers), Blood groups and transfusion (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Hematology (210 citations), Neurology (102 citations), Cancer Research (178 citations), Molecular Biology (738 citations) and Gastroenterology (39 citations). Ruyi He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Liang Zhao, Yijie Shi, N. Raphael Shulman, Jia Liang, Donald Reid, Longyu Wang, Yibin Jiang, Yan Zheng, Fei Wang and Peng Wang. Their work appears in journals such as Nucleic Acids Research, Blood, International Journal of Biological Macromolecules, International Journal of Molecular Sciences and Human Gene Therapy.
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.