Ping Wang

7.3k citations
210 papers · 4.7k · h-index 37

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • RNA modifications and cancer 11
    • Circular RNAs in diseases 9
    • Immune Cell Function and Interaction 22
    • T-cell and B-cell Immunology 16
    • Immunotherapy and Immune Responses 12

Ping Wang

202 papers receiving 4.6k citations

Peers

Ping Wang
Comparison fields: 5 of 134
  • Cancer Research 928
  • Immunology 1.1k
  • Oncology 726
  • Molecular Biology 2.0k
  • Cell Biology 296
Replace Swati Choksi with:
Swati Choksi United States
Xi Chen China
Yin Liu China
Abelardo López‐Rivas Spain
Liam O’Connor Australia
Alain Chariot Belgium
Satoshi Matsuda Japan
Kuo‐I Lin Taiwan
Dae‐Yeul Yu South Korea
Grant Dewson Australia
Ping Wang relative to Swati Choksi United States Swati Choksi's profile →
Citations per field
00.5×1.5×
Swati Choksi · 1×
Citations per year

Countries citing papers authored by Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014263
2 2008223
3 2012149
4 1990131
5 1997115
6 200197
7 200093
8 200892
9 201186
10 201483
11 201169
12 201665
13 202162
14 200460
15 200059
16 200358
17 201657
18 200654
19 200552
20 201249

About Ping Wang

Ping Wang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 210 papers that have together received 4.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), Cancer-related molecular mechanisms research (17 papers), T-cell and B-cell Immunology (16 papers), MicroRNA in disease regulation (14 papers), Immunotherapy and Immune Responses (12 papers), RNA modifications and cancer (11 papers), Circular RNAs in diseases (9 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Cancer Research (928 citations), Immunology (1.1k citations), Oncology (726 citations), Molecular Biology (2.0k citations) and Cell Biology (296 citations). Ping Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Suling Li, Kajsa Paulsson, Hans‐Olov Sjögren, Alistair L. J. Symonds, Per Anderson, Tizong Miao, E. Klein, Christina Kendziorski, Shangwu Chen and Manuel E. Patarroyo. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Journal of Biological Chemistry, OncoTargets and Therapy and Oncotarget.

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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