Suping Zhang
- Aging top 2%
- Molecular Biology top 2%
- Wnt/β-catenin signaling in development and cancer 9
- Epigenetics and DNA Methylation 9
- Cancer Research top 5%
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 9
- Oncology top 5%
- Cancer Cells and Metastasis 8
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- Autophagy in Disease and Therapy 18
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- Hematopoietic Stem Cell Transplantation 10
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- Mass Spectrometry Techniques and Applications 9
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Thomas J. KippsHenrik Vibe SchellerBing CuiLiguang ChenJingxi PanGeorge F. WidhopfJianrong WangFangfang Zhou
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suping Zhang
159 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 156
- Aging 96
- Molecular Biology 3.2k
- Cancer Research 641
- Genetics 392
- Oncology 885
Countries citing papers authored by Suping Zhang
This map shows the geographic impact of Suping 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 Suping Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suping Zhang more than expected).
Fields of papers citing papers by Suping Zhang
This network shows the impact of papers produced by Suping 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 Suping Zhang. The network helps show where Suping Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suping Zhang, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 52 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 39 | |
| 12 | 2017 | 50 | |
| 13 | Effects of a positive psychological intervention on the mental health and happiness of patients undergoing in vitro fertilization | 2017 | 4 |
| 14 | 2016 | 4 | |
| 15 | 2014 | 29 | |
| 16 | 2014 | 9 | |
| 17 | 2013 | 140 | |
| 18 | 2012 | 29 | |
| 19 | [Mechanism study of adaptive response in high background radiation area of Yangjiang in China]. | 2010 | 7 |
| 20 | 2010 | 3 |
About Suping Zhang
Suping Zhang is a scholar working on Genetics, Hematology and Molecular Biology, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Hematopoietic Stem Cell Transplantation (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Mass Spectrometry Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Epigenetics and DNA Methylation (9 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Aging (96 citations), Molecular Biology (3.2k citations) and Cancer Research (641 citations). Suping Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Thomas J. Kipps, Henrik Vibe Scheller, Bing Cui, Liguang Chen, Jingxi Pan, George F. Widhopf, Jianrong Wang, Fangfang Zhou, Christoph H. Borchers and Rongrong Wu. Their work appears in journals such as Blood, Scientific Reports, Journal of Biological Chemistry, Aging Cell and Biochemical Engineering Journal.
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.