Ping Sun

5.5k citations
170 papers · 3.5k · h-index 32

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Breast Cancer Treatment Studies
  • Oncology top 5%

Papers in

    • Circular RNAs in diseases 9
    • RNA modifications and cancer 6
    • RNA Interference and Gene Delivery 5
    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 14

Ping Sun

158 papers receiving 3.4k citations

Peers

Ping Sun
Comparison fields: 5 of 142
  • Cancer Research 784
  • Oncology 525
  • Reproductive Medicine 161
  • Biomaterials 249
  • Genetics 494
Replace Philip C. Trackman with:
Philip C. Trackman United States
Liangliang Xu China
Aihua Gong China
Jianwen Wei China
Gabriela Kania Switzerland
Ya Zhang China
Ying Dong Australia
Shivani Soni United States
Xiaomei Yang China
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Ping Sun relative to Philip C. Trackman United States Philip C. Trackman's profile →
Citations per field
00.5×4.5×
Philip C. Trackman · 1×
Citations per year

Countries citing papers authored by Ping Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ping Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016245
2 2014200
3 2008142
4 2022130
5 2006126
6 201398
7 202089
8 200584
9 202083
10 200673
11 201670
12 201768
13 201767
14 201665
15 200559
16 201355
17 201453
18 202153
19 201949
20 202247

About Ping Sun

Ping Sun is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 170 papers that have together received 3.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (9 papers), Phonocardiography and Auscultation Techniques (7 papers), RNA modifications and cancer (6 papers), Music and Audio Processing (6 papers), RNA Interference and Gene Delivery (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Cancer Research (784 citations), Oncology (525 citations), Reproductive Medicine (161 citations), Biomaterials (249 citations) and Genetics (494 citations). Ping Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Steven A. Narod, Charmaine Kim‐Sing, Mingji Jin, Zhonggao Gao, Wei Huang, Lin Kang, Barry P. Rosen, Andrea Eisen, P Ghadirian and William D. Foulkes. Their work appears in journals such as Anticancer Research, Biochemical and Biophysical Research Communications, Journal of Clinical Oncology, PLoS ONE and World Journal of Surgical Oncology.

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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