Yuhong Cao
- Biomedical Engineering top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Biotechnology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Nicholas A. MeloshAlexander M. XuXi XieSergio Leal‐OrtizPeidong YangStefano Cestellos-BlancoCraig C. GarnerYude Su
- Topics
- RNA Interference and Gene Delivery (10 papers)Energy, Environment, Economic Growth (6 papers)Advanced Memory and Neural Computing (5 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuhong Cao
66 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Biomedical Engineering 668
- Molecular Biology 579
- Cellular and Molecular Neuroscience 265
- Biotechnology 174
- Electrical and Electronic Engineering 161
Countries citing papers authored by Yuhong Cao
This map shows the geographic impact of Yuhong Cao'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 Yuhong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Cao more than expected).
Fields of papers citing papers by Yuhong Cao
This network shows the impact of papers produced by Yuhong Cao. 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 Yuhong Cao. The network helps show where Yuhong Cao may publish in the future.
Co-authorship network of co-authors of Yuhong Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhong Cao. A scholar is included among the top collaborators of Yuhong Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuhong Cao. Yuhong Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 47 | |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | Evaluation of Automobile Manufacturing Enterprise Competitiveness from Social Responsibility Perspective | 2 |
| 20 | Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry | 1 |
About Yuhong Cao
Yuhong Cao is a scholar working on Marketing, Strategy and Management and Biophysics, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Energy, Environment, Economic Growth (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Biotechnology (174 citations), Biomedical Engineering (668 citations) and Cellular and Molecular Neuroscience (265 citations). Yuhong Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Nicholas A. Melosh, Alexander M. Xu, Xi Xie, Sergio Leal‐Ortiz, Peidong Yang, Stefano Cestellos-Blanco, Craig C. Garner, Yude Su, Yong Zhao and Haixia Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.
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.