Ping Duan

1.3k citations
48 papers · 1.0k · h-index 18

Impact in

Papers in

Ping Duan

48 papers receiving 1.0k citations

Peers

Ping Duan
Comparison fields: 5 of 82
  • Cancer Research 342
  • Reproductive Medicine 179
  • Obstetrics and Gynecology 103
  • Biological Psychiatry 24
  • Endocrine and Autonomic Systems 49
Replace Nadejda Valtcheva with:
Nadejda Valtcheva Switzerland
Timothy Nacarelli United States
Núria Llecha Spain
Marianna Santopaolo Italy
Kelley J. Murphy United States
Siddharth G. Kamath United States
Zoltán Rékási United States
Sophie Bernichtein France
Amalia Forte Italy
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Citations per field
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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 2018146
2 201795
3 201783
4 200571
5 201860
6
miR-613 inhibits bladder cancer proliferation and migration through targeting SphK1.
201759
7 201744
8
The differential expression of microRNA-143,145 in endometriosis.
201428
9 201428
10 201827
11
miR-320 inhibited ovarian cancer oncogenicity via targeting TWIST1 expression.
201727
12 201726
13
Interactome analysis of gene expression profiles of cervical cancer reveals dysregulated mitotic gene clusters.
201724
14 201623
15 202122
16 202319
17 202218
18 201417
19 201616
20 202315

About Ping Duan

Ping Duan is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Oncology and Genetics, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (8 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Sperm and Testicular Function (4 papers), Cancer-related Molecular Pathways (4 papers), RNA modifications and cancer (4 papers), Reproductive System and Pregnancy (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (342 citations), Reproductive Medicine (179 citations), Obstetrics and Gynecology (103 citations), Biological Psychiatry (24 citations) and Endocrine and Autonomic Systems (49 citations). Ping Duan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jing He, Yuan Zhao, Wenfeng Hua, Danyang Yu, Dan Xie, Xiaohan Jin, Zongwen Liang, Dapang Rao, Haibo Zhu and Haifeng Yu. Their work appears in journals such as Journal of Cancer, Oncotarget, Molecular and Cellular Endocrinology, Current Drug Targets and Frontiers in Endocrinology.

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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