Ping Wan

1.5k citations
53 papers · 1.0k indexed · h-index 20

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Genomics and Phylogenetic Studies 3
    • RNA Research and Splicing 3
    • Machine Learning in Bioinformatics 3
    • Developmental Biology and Gene Regulation 3
    • Cellular Mechanics and Interactions 5
    • Cellular transport and secretion 4

Ping Wan

46 papers receiving 998 citations

Peers

Ping Wan
Comparison fields: 5 of 116
  • Physiology 51
  • Cancer Research 145
  • Cell Biology 132
  • Molecular Biology 512
  • Pharmacology 50
Replace Xiaoling Jiang with:
Xiaoling Jiang China
Torben Særmark Denmark
Mariana S. Araújo Brazil
Miguel Trueba Spain
Gabriela Salinas-Riester Germany
Jerod S. Denton United States
Jason R. Goldsmith United States
Joseph Orly Israel
Nils Bäck United States
Marina Wolfson Israel
Ping Wan relative to Xiaoling Jiang China Xiaoling Jiang's profile →
Citations per field
00.5×3.2×
Xiaoling Jiang · 1×
Citations per year

Countries citing papers authored by Ping Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007114
2 2017112
3 201668
4 201662
5 200656
6 201150
7 200543
8 201235
9 201933
10 201432
11 201632
12 201231
13 201931
14 201229
15 201527
16 201326
17 201825
18 201125
19 201924
20 201323

About Ping Wan

Ping Wan is a scholar working on Molecular Biology, Cell Biology, Surgery, Immunology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Cellular transport and secretion (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Machine Learning in Bioinformatics (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Physiology (51 citations), Cancer Research (145 citations), Cell Biology (132 citations), Molecular Biology (512 citations) and Pharmacology (50 citations). Ping Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiong Chen, Jun Luo, Aiping Bai, Yuan Guo, Yuping Ren, Jing Wu, Gong Yang, Dandan Chu, Lili Lu and Jingshu Wang. Their work appears in journals such as Frontiers in Psychiatry, Development, Scientific Reports, Journal of Biological Chemistry and Neuroscience Bulletin.

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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