Ruian Yang
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Circular RNAs in diseases 3
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
-
- Viral Infections and Immunology Research 3
- Co-authors
- Angelique M. Nelson (2 shared papers)Tanya Grancharova (2 shared papers)Andrew M. Tucker (2 shared papers)Caroline Hookway (2 shared papers)Susan A. Ludmann (2 shared papers)Ruwanthi N. Gunawardane (2 shared papers)Margaret A. Fuqua (2 shared papers)Joy Arakaki (2 shared papers)
- Journals
- Virus Research (2 papers)Molecular Biology of the Cell (1 paper)BMC Genomics (1 paper)Cell Cycle (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ruian Yang
9 papers receiving 254 citations
Peers
Comparison fields: 5 of 62
- Biophysics 39
- Aging 10
- Molecular Biology 194
- Cancer Research 23
- Cell Biology 24
Countries citing papers authored by Ruian Yang
This map shows the geographic impact of Ruian Yang'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 Ruian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruian Yang more than expected).
Fields of papers citing papers by Ruian Yang
This network shows the impact of papers produced by Ruian Yang. 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 Ruian Yang. The network helps show where Ruian Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruian Yang, 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 | 2017 | 162 | |
| 2 | 2019 | 33 | |
| 3 | TRPV1, TRPA1, and TRPM8 are expressed in axon terminals in the cornea: TRPV1 axons contain CGRP and secretogranin II; TRPA1 axons contain secretogranin 3. | 2020 | 15 |
| 4 | 2022 | 14 | |
| 5 | 2021 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2020 | 7 | |
| 8 | 2023 | 3 | |
| 9 | 2019 | 3 |
About Ruian Yang
Ruian Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Cancer Research and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 258 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), Viral Infections and Immunology Research (3 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Biophysics (39 citations), Aging (10 citations), Molecular Biology (194 citations), Cancer Research (23 citations) and Cell Biology (24 citations). Ruian Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Angelique M. Nelson, Tanya Grancharova, Andrew M. Tucker, Caroline Hookway, Susan A. Ludmann, Ruwanthi N. Gunawardane, Margaret A. Fuqua, Joy Arakaki, Amanda Haupt and Brock Roberts. Their work appears in journals such as Virus Research, Molecular Biology of the Cell, BMC Genomics, Cell Cycle and Stem Cell Reports.
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.