Ping Wan

2.6k citations
29 papers · 500 · h-index 13

Impact in

Papers in

    • Circular RNAs in diseases 2
    • Epigenetics and DNA Methylation 2
    • Child and Adolescent Psychosocial and Emotional Development 4
    • Child Abuse and Trauma 4

Ping Wan

26 papers receiving 492 citations

Peers

Ping Wan
Comparison fields: 5 of 102
  • Pharmacology 43
  • Complementary and alternative medicine 35
  • Cancer Research 53
  • Endocrinology, Diabetes and Metabolism 53
  • Applied Microbiology and Biotechnology 6
Replace Dong‐Ho Shin with:
Dong‐Ho Shin South Korea
Cláudia Rita Corso Brazil
Anna A. Emelianova Russia
Rituparna Ghosh India
Ahmed M. Atwa Egypt
Yiran Sun China
Mahmoud M. Said Egypt
Fawad Ali Pakistan
Yanwu Li China
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Ping Wan relative to Dong‐Ho Shin South Korea Dong‐Ho Shin's profile →
Citations per field
00.5×1.5×1.9×
Dong‐Ho Shin · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 201473
3 201346
4 202243
5 200641
6 202032
7 202023
8 201619
9 201417
10 202216
11 201514
12 201913
13 201812
14 202411
15 20209
16 20229
17 20219
18 20187
19 20236
20 20134

About Ping Wan

Ping Wan is a scholar working on Molecular Biology, Clinical Psychology, Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (4 papers), Child Abuse and Trauma (4 papers), MicroRNA in disease regulation (3 papers), Natural Antidiabetic Agents Studies (2 papers), Circular RNAs in diseases (2 papers), Pancreatic function and diabetes (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Pharmacology (43 citations), Complementary and alternative medicine (35 citations), Cancer Research (53 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Applied Microbiology and Biotechnology (6 citations). Ping Wan has collaborated with scholars based in China, Bangladesh and Thailand. Frequent co-authors include A. Anstey, Stuart J. Moat, Weitao Shen, Ran Liu, Qiang Guo, Yuejin Li, Lihong Hu, Xu Shen, Yongzhi Wang and Xingang Yao. Their work appears in journals such as Frontiers in Psychiatry, BMC Psychiatry, Oncology Reports, BMC Psychology and Molecular & Cellular Proteomics.

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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