Ping Duan

1.3k citations
48 papers · 997 · h-index 17

Impact in

Papers in

Ping Duan

48 papers receiving 995 citations

Peers

Ping Duan
Comparison fields: 5 of 83
  • Cancer Research 402
  • Reproductive Medicine 193
  • Obstetrics and Gynecology 125
  • Biological Psychiatry 24
  • Molecular Biology 599
Replace Núria Llecha with:
Núria Llecha Spain
Zoltán Rékási United States
Ken C. Walls United States
Timothy Nacarelli United States
Siddharth G. Kamath United States
Sophie Bernichtein France
Katja Kaipio Finland
Vittoria Carnicelli Italy
Virginia Álvarez-García Spain
Ping Duan relative to Núria Llecha Spain Núria Llecha's profile →
Citations per field
00.5×6.6×
Núria Llecha · 1×
Citations per year

Countries citing papers authored by Ping Duan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018145
2 201795
3 201783
4 200571
5 201859
6
miR-613 inhibits bladder cancer proliferation and migration through targeting SphK1.
201759
7 201743
8 201428
9
miR-320 inhibited ovarian cancer oncogenicity via targeting TWIST1 expression.
201727
10
The differential expression of microRNA-143,145 in endometriosis.
201427
11 201827
12 201726
13
Interactome analysis of gene expression profiles of cervical cancer reveals dysregulated mitotic gene clusters.
201724
14 201623
15 202121
16 202317
17 202216
18 201416
19 201616
20 201713

About Ping Duan

Ping Duan is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Genetics and Immunology, having authored 48 papers that have together received 997 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers), Endometriosis Research and Treatment (8 papers), Reproductive System and Pregnancy (6 papers), RNA modifications and cancer (5 papers), Sperm and Testicular Function (5 papers), Cancer-related Molecular Pathways (4 papers) and Testicular diseases and treatments (3 papers). The work is most often cited by research in Cancer Research (402 citations), Reproductive Medicine (193 citations), Obstetrics and Gynecology (125 citations), Biological Psychiatry (24 citations) and Molecular Biology (599 citations). Ping Duan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jing He, Yuan Zhao, Wenfeng Hua, Danyang Yu, Xiaohan Jin, Dan Xie, Zongwen Liang, Haifeng Yu, Haibo Zhu and Dapang Rao. Their work appears in journals such as Food and Chemical Toxicology, Oncotarget, Molecular and Cellular Endocrinology, Bioscience Reports and Current Drug Targets.

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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