Suping Zhang

6.9k citations
168 papers · 5.7k · h-index 41

Impact in

  • Aging top 5%
    • Photosynthetic Processes and Mechanisms
    • Wnt/β-catenin signaling in development and cancer
    • Extracellular vesicles in disease

Papers in

    • Wnt/β-catenin signaling in development and cancer 8
    • Epigenetics and DNA Methylation 8
    • Mesenchymal stem cell research 8

Suping Zhang

166 papers receiving 5.6k citations

Peers

Suping Zhang
Comparison fields: 5 of 153
  • Aging 102
  • Molecular Biology 3.0k
  • Cancer Research 574
  • Genetics 395
  • Oncology 824
Replace Angelica M. Merlot with:
Angelica M. Merlot Australia
Michel Vidal France
Xiaomin Song China
Gur P. Kaushal United States
Gerhard Fritz Germany
Sumit Sahni Australia
Paul H. Huang United Kingdom
Giuliana Cassinelli Italy
Frederick E. Domann United States
Cheolju Lee South Korea
Suping Zhang relative to Angelica M. Merlot Australia Angelica M. Merlot's profile →
Citations per field
00.5×1.5×2.2×
Angelica M. Merlot · 1×
Citations per year

Countries citing papers authored by Suping Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Suping Zhang Line = papers co-authored together Suping Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020251
2 2012227
3 2016227
4 2007217
5 2014181
6 2021181
7 2012173
8 2015167
9 2004163
10 2014163
11 2013150
12 2008147
13 2019121
14 2020115
15 2018112
16 2004111
17 2013110
18 201393
19 201392
20 200490

About Suping Zhang

Suping Zhang is a scholar working on Molecular Biology, Genetics, Hematology, Epidemiology and Immunology, having authored 168 papers that have together received 5.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (18 papers), Hematopoietic Stem Cell Transplantation (10 papers), Mesenchymal stem cell research (8 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Aging (102 citations), Molecular Biology (3.0k citations), Cancer Research (574 citations), Genetics (395 citations) and Oncology (824 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 Börchers and Rongrong Wu. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemical Engineering Journal, Aging Cell 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.

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