Zhongxing Liang
- Oncology top 2%
- Chemokine receptors and signaling 22
- Cytokine Signaling Pathways and Interactions 7
- Cancer Research top 5%
- MicroRNA in disease regulation 5
- Parasitology top 2%
- Bartonella species infections research 6
- Vector-borne infectious diseases 5
- Immunology top 5%
- Immunotherapy and Immune Responses 15
- Virology top 5%
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- Glioma Diagnosis and Treatment 4
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- RNA Interference and Gene Delivery 4
- Co-authors
- Hyunsuk ShimYounghyoun YoonDidier RaoultMark M. GoodmanLarry G. WilliamsJohn R. VotawAizhi ZhuKe Huang
- Cited by
- OncologyCancer ResearchParasitology
- Journals
- PLoS ONE (1 paper)Cancer Research (6 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Zhongxing Liang
46 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 96
- Oncology 1.3k
- Cancer Research 645
- Parasitology 266
- Immunology 808
- Virology 82
Countries citing papers authored by Zhongxing Liang
This map shows the geographic impact of Zhongxing Liang'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 Zhongxing Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongxing Liang more than expected).
Fields of papers citing papers by Zhongxing Liang
This network shows the impact of papers produced by Zhongxing Liang. 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 Zhongxing Liang. The network helps show where Zhongxing Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhongxing Liang, 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 | 2024 | 1 | |
| 2 | 2020 | 13 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 10 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 87 | |
| 14 | 2016 | 56 | |
| 15 | 2011 | 95 | |
| 16 | 2010 | 53 | |
| 17 | MSX-122, an orally available small molecule targeting CXCR4, inhibits primary tumor growth in an orthotopic mouse model of lung cancer and improves the effect of paclitaxel | 2008 | 3 |
| 18 | 2007 | 100 | |
| 19 | 2007 | 258 | |
| 20 | 2007 | 104 |
About Zhongxing Liang
Zhongxing Liang is a scholar working on Parasitology, Oncology and Immunology, having authored 46 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (22 papers), Immunotherapy and Immune Responses (15 papers), Cytokine Signaling Pathways and Interactions (7 papers), Bartonella species infections research (6 papers), Vector-borne infectious diseases (5 papers), MicroRNA in disease regulation (5 papers), Glioma Diagnosis and Treatment (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (645 citations) and Parasitology (266 citations). Zhongxing Liang has collaborated with scholars based in United States, France and China. Frequent co-authors include Hyunsuk Shim, Younghyoun Yoon, Didier Raoult, Mark M. Goodman, Larry G. Williams, John R. Votaw, Aizhi Zhu, Ke Huang, Yuhua Li and Ke Liang. Their work appears in journals such as PLoS ONE, Cancer Research and Biochemical and Biophysical Research 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.