Zimo Yang
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 3
-
- Complex Network Analysis Techniques 9
- Opinion Dynamics and Social Influence 6
- Co-authors
- Tao Zhou (14 shared papers)Zi‐Ke Zhang (4 shared papers)Yu Rao (10 shared papers)Wei Zhang (1 shared paper)Wei Bai (1 shared paper)Xin Lü (1 shared paper)Quan-Hui Liu (1 shared paper)Kexin Yang (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (4 papers)Journal of Medicinal Chemistry (3 papers)Chinese Chemical Letters (2 papers)Cancer Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zimo Yang
34 papers receiving 997 citations
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 259
- Statistical and Nonlinear Physics 274
- Transportation 56
- Infectious Diseases 117
- Public Health, Environmental and Occupational Health 165
Countries citing papers authored by Zimo Yang
This map shows the geographic impact of Zimo 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 Zimo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zimo Yang more than expected).
Fields of papers citing papers by Zimo Yang
This network shows the impact of papers produced by Zimo 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 Zimo Yang. The network helps show where Zimo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zimo 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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 221 | |
| 2 | 2019 | 152 | |
| 3 | 2011 | 127 | |
| 4 | 2013 | 73 | |
| 5 | 2012 | 72 | |
| 6 | 2022 | 37 | |
| 7 | 2012 | 36 | |
| 8 | 2014 | 30 | |
| 9 | 2011 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 23 | |
| 13 | 2016 | 20 | |
| 14 | 2024 | 19 | |
| 15 | 2017 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2013 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2012 | 9 |
About Zimo Yang
Zimo Yang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Oncology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Protein Degradation and Inhibitors (6 papers), Opinion Dynamics and Social Influence (6 papers), COVID-19 epidemiological studies (4 papers), Multiple Myeloma Research and Treatments (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Modeling and Simulation (259 citations), Statistical and Nonlinear Physics (274 citations), Transportation (56 citations), Infectious Diseases (117 citations) and Public Health, Environmental and Occupational Health (165 citations). Zimo Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Zhou, Zi‐Ke Zhang, Yu Rao, Wei Zhang, Wei Bai, Xin Lü, Quan-Hui Liu, Kexin Yang, Jingyi Liao and Zhen Jin. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Medicinal Chemistry, Chinese Chemical Letters, Cancer Research and PLoS ONE.
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.