Suping Zhang
Impact in
- Aging top 2%
- Molecular Biology top 2%
- Photosynthetic Processes and Mechanisms
- Wnt/β-catenin signaling in development and cancer
- Extracellular vesicles in disease
- Cancer-related gene regulation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 9
- Epigenetics and DNA Methylation 8
- Epidemiology 23
- Autophagy in Disease and Therapy 18
- Co-authors
- Thomas J. Kipps (26 shared papers)Henrik Vibe Scheller (4 shared papers)Bing Cui (14 shared papers)Liguang Chen (15 shared papers)Jingxi Pan (11 shared papers)George F. Widhopf (9 shared papers)Fangfang Zhou (3 shared papers)Jianrong Wang (25 shared papers)
- Journals
- Blood (14 papers)Aging Cell (4 papers)Biochemical Engineering Journal (4 papers)Journal of Biological Chemistry (4 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suping Zhang
158 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 150
- Aging 96
- Molecular Biology 3.0k
- Cancer Research 561
- Genetics 371
- Oncology 811
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-authors
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
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 236 | |
| 2 | 2012 | 215 | |
| 3 | 2007 | 214 | |
| 4 | 2016 | 205 | |
| 5 | 2021 | 165 | |
| 6 | 2012 | 161 | |
| 7 | 2015 | 159 | |
| 8 | 2014 | 158 | |
| 9 | 2014 | 157 | |
| 10 | 2004 | 154 | |
| 11 | 2006 | 146 | |
| 12 | 2013 | 142 | |
| 13 | 2008 | 141 | |
| 14 | 2019 | 120 | |
| 15 | 2020 | 112 | |
| 16 | 2013 | 109 | |
| 17 | 2018 | 102 | |
| 18 | 2004 | 99 | |
| 19 | 2013 | 93 | |
| 20 | 2013 | 89 |
About Suping Zhang
Suping Zhang is a scholar working on Molecular Biology, Epidemiology, Genetics, Oncology and Immunology, 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 (9 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Epigenetics and DNA Methylation (8 papers), Mesenchymal stem cell research (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). The work is most often cited by research in Aging (96 citations), Molecular Biology (3.0k citations), Cancer Research (561 citations), Genetics (371 citations) and Oncology (811 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, Fangfang Zhou, Jianrong Wang, Christoph H. Borchers and Rongrong Wu. Their work appears in journals such as Blood, Aging Cell, Biochemical Engineering Journal, Journal of Biological Chemistry and Scientific Reports.
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.