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 Bai (1 shared paper)Quan-Hui Liu (1 shared paper)Xin Lü (1 shared paper)Wei Zhang (1 shared paper)Kexin Yang (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (4 papers)Journal of Medicinal Chemistry (3 papers)Cancer Research (2 papers)Chinese Chemical Letters (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zimo Yang
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 255
- Statistical and Nonlinear Physics 285
- Transportation 56
- Public Health, Environmental and Occupational Health 159
- Infectious Diseases 98
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 230 | |
| 2 | 2019 | 159 | |
| 3 | 2011 | 130 | |
| 4 | 2012 | 74 | |
| 5 | 2013 | 73 | |
| 6 | 2022 | 39 | |
| 7 | 2012 | 36 | |
| 8 | 2014 | 31 | |
| 9 | 2011 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2016 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2012 | 12 |
About Zimo Yang
Zimo Yang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Oncology, Modeling and Simulation and Organic Chemistry, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (6 papers), Protein Degradation and Inhibitors (6 papers), COVID-19 epidemiological studies (4 papers), Ubiquitin and proteasome pathways (3 papers), Multiple Myeloma Research and Treatments (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Modeling and Simulation (255 citations), Statistical and Nonlinear Physics (285 citations), Transportation (56 citations), Public Health, Environmental and Occupational Health (159 citations) and Infectious Diseases (98 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 Bai, Quan-Hui Liu, Xin Lü, Wei Zhang, Kexin Yang, Jingyi Liao and Yi Wang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Medicinal Chemistry, Cancer Research, Chinese Chemical Letters 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.