Zhipeng Su

1.7k citations
76 papers · 1.3k · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Zhipeng Su

73 papers receiving 1.3k citations

Peers

Zhipeng Su
Comparison fields: 5 of 114
  • Cancer Research 250
  • Genetics 136
  • Endocrinology, Diabetes and Metabolism 199
  • Immunology 206
  • Molecular Biology 622
Replace Weitao Cong with:
Weitao Cong China
Hui Guan China
Jacob Grünler Sweden
Valerio Izzi Finland
Chunyang Du China
Manish Jain India
Shwu‐Fen Chang Taiwan
Yu Jin Lee South Korea
Jawed A. Siddiqui United States
Masoud Darabi Iran
Zhipeng Su relative to Weitao Cong China Weitao Cong's profile →
Citations per field
00.5×2.6×
Weitao Cong · 1×
Citations per year

Countries citing papers authored by Zhipeng Su

Since Specialization
Citations

This map shows the geographic impact of Zhipeng Su'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 Zhipeng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhipeng Su more than expected).

Fields of papers citing papers by Zhipeng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhipeng Su. 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 Zhipeng Su. The network helps show where Zhipeng Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Zhipeng Su, 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 Zhipeng Su Line = papers co-authored together Zhipeng Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 2018108
3 202073
4 201369
5
Temozolomide promotes immune escape of GBM cells via upregulating PD-L1.
201946
6 202045
7 201738
8 202335
9 201532
10 202032
11 201829
12 201728
13 201726
14 202025
15 202124
16 201820
17 201819
18 201819
19 201618
20 201718

About Zhipeng Su

Zhipeng Su is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Cancer Research and Genetics, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Glioma Diagnosis and Treatment (7 papers), RNA Research and Splicing (5 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (250 citations), Genetics (136 citations), Endocrinology, Diabetes and Metabolism (199 citations), Immunology (206 citations) and Molecular Biology (622 citations). Zhipeng Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Kevin D. Burns, Chengde Wang, Lin Cai, Weiming Zheng, Qun Li, Fansheng Kong, Jianglong Lu, Zhe Wu, Huihui Fan and Zhen Wang. Their work appears in journals such as Molecular and Cellular Endocrinology, Microbiological Research, Journal of Food Science, Oncology Reports and International Immunopharmacology.

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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