Ping Xiong

2.8k citations
129 papers · 2.1k · h-index 24

Impact in

    • Protease and Inhibitor Mechanisms
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 11
    • Immune Response and Inflammation 7
    • T-cell and B-cell Immunology 7

Ping Xiong

119 papers receiving 2.1k citations

Peers

Ping Xiong
Comparison fields: 5 of 148
  • Cancer Research 379
  • Immunology 401
  • Clinical Biochemistry 100
  • Oncology 328
  • Biological Psychiatry 20
Replace Juan Chen with:
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Xiangyu Zhang China
Zihan Zheng China
Jung Tae Kim∥ South Korea
Ming‐Yii Huang Taiwan
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Ping Xiong relative to Juan Chen China Juan Chen's profile →
Citations per field
00.5×1.5×
Juan Chen · 1×
Citations per year

Countries citing papers authored by Ping Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Ping Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004175
2 2019122
3 2014122
4
A functional polymorphism in the matrix metalloproteinase-2 gene promoter (-1306C/T) is associated with risk of development but not metastasis of gastric cardia adenocarcinoma.
2003101
5 201094
6 200577
7 200861
8 202257
9 201857
10 201956
11 200647
12 200546
13 201046
14 200640
15 201539
16 200535
17 201535
18 201134
19 200734
20 200132

About Ping Xiong

Ping Xiong is a scholar working on Immunology, Molecular Biology, Electrical and Electronic Engineering, Epidemiology and Control and Systems Engineering, having authored 129 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (11 papers), Immune Cell Function and Interaction (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Viral Infections and Immunology Research (9 papers), HVDC Systems and Fault Protection (7 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (7 papers) and High-Voltage Power Transmission Systems (7 papers). The work is most often cited by research in Cancer Research (379 citations), Immunology (401 citations), Clinical Biochemistry (100 citations), Oncology (328 citations) and Biological Psychiatry (20 citations). Ping Xiong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongxin Lin, Xiaoping Miao, Chun-Yuan Yu, Wen Tan, Feili Gong, Fang Zheng, Yifeng Zhou, Gang Li, Wanlei Zhou and Tianqing Zhu. Their work appears in journals such as PLoS ONE, Transplant Immunology, Molecular Immunology, Energy Reports and International Journal of Cancer.

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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