Guo‐Xing Zhang
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Pathology and Forensic Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Shoji KimuraAkira NishiyamaYouichi AbeMatlubur RahmanTakatomi ShokojiYu-Yan FanLin‐Hui WangYongxin Liu
- Topics
- Cardiac Ischemia and Reperfusion (19 papers)Nitric Oxide and Endothelin Effects (12 papers)Renin-Angiotensin System Studies (9 papers)
- Journals
- Angewandte Chemie International EditionJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Guo‐Xing Zhang
97 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 784
- Cardiology and Cardiovascular Medicine 534
- Physiology 451
- Pathology and Forensic Medicine 258
- Endocrinology, Diabetes and Metabolism 252
Countries citing papers authored by Guo‐Xing Zhang
This map shows the geographic impact of Guo‐Xing Zhang'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 Guo‐Xing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Xing Zhang more than expected).
Fields of papers citing papers by Guo‐Xing Zhang
This network shows the impact of papers produced by Guo‐Xing Zhang. 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 Guo‐Xing Zhang. The network helps show where Guo‐Xing Zhang may publish in the future.
Co-authorship network of co-authors of Guo‐Xing Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Xing Zhang. A scholar is included among the top collaborators of Guo‐Xing Zhang 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 Guo‐Xing Zhang. Guo‐Xing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analysesbreakdown → | 130 |
| 5 | 0 | |
| 6 | Interaction Between the Glymphatic System and α-Synuclein in Parkinson’s Diseasebreakdown → | 82 |
| 7 | 14 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 50 | |
| 12 | 57 | |
| 13 | 29 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 23 | |
| 17 | 64 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 77 |
About Guo‐Xing Zhang
Guo‐Xing Zhang is a scholar working on Biochemistry, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 102 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (19 papers), Nitric Oxide and Endothelin Effects (12 papers) and Renin-Angiotensin System Studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (534 citations), Physiology (451 citations) and Endocrinology, Diabetes and Metabolism (252 citations). Guo‐Xing Zhang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shoji Kimura, Akira Nishiyama, Youichi Abe, Matlubur Rahman, Takatomi Shokoji, Yu-Yan Fan, Lin‐Hui Wang, Yongxin Liu, Yunyun Gao and Li Yao. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.