Yan Du

4.0k citations
157 papers · 2.9k · h-index 30

Impact in

Papers in

    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 7
    • Cancer Cells and Metastasis 5

Yan Du

149 papers receiving 2.8k citations

Peers

Yan Du
Comparison fields: 5 of 154
  • Cancer Research 369
  • Obstetrics and Gynecology 176
  • Hepatology 172
  • Oncology 423
  • Reproductive Medicine 103
Replace Nicholas J.A. Webb with:
Nicholas J.A. Webb United Kingdom
M Viganò Italy
Patricia Kirby United States
Kenneth Chen United States
Charles D. Johnson United States
Joseph D. Schmidt United States
Marcus O. Muench United States
Andrew D. Beggs United Kingdom
Jan Rosing Netherlands
Vincenzo Esposito Italy
Yan Du relative to Nicholas J.A. Webb United Kingdom Nicholas J.A. Webb's profile →
Citations per field
00.5×1.5×2.3×
Nicholas J.A. Webb · 1×
Citations per year

Countries citing papers authored by Yan Du

Since Specialization
Citations

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

Fields of papers citing papers by Yan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020110
2 2011100
3 200694
4 201292
5 201269
6 200064
7 200961
8 201261
9 200560
10 201359
11 202253
12 201352
13 201351
14 201350
15 200449
16 201946
17 201045
18 201944
19 201543
20 201342

About Yan Du

Yan Du is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Obstetrics and Gynecology, having authored 157 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (7 papers), Prenatal Screening and Diagnostics (7 papers), MicroRNA in disease regulation (6 papers), Gestational Trophoblastic Disease Studies (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (369 citations), Obstetrics and Gynecology (176 citations), Hepatology (172 citations), Oncology (423 citations) and Reproductive Medicine (103 citations). Yan Du has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangwen Cao, Hongwei Zhang, Hongbo Zhao, Wenjun Chang, Yibo Ding, Darlene A Calhoun, Robert D. Christensen, Yifang Han, Kathleen A. Gallo and Hiroko H. Dodge. Their work appears in journals such as BioScience Trends, Frontiers in Oncology, PLoS ONE, Acta Biochimica et Biophysica Sinica and Gene.

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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