Dan Du

2.3k citations
62 papers · 1.1k · h-index 17

Impact in

  • Neurology top 10%
    • Barrier Structure and Function Studies
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

Dan Du

55 papers receiving 1.1k citations

Peers

Dan Du
Comparison fields: 5 of 126
  • Neurology 81
  • Cell Biology 141
  • Molecular Biology 528
  • Aging 13
  • Signal Processing 57
Replace Vebjorn Ljosa with:
Vebjorn Ljosa United States
Jonathan B. Rosenberg United States
Gwan‐Su Yi South Korea
Ziying Liu Canada
Jeong Ho Chang South Korea
Patrick Flaherty United States
Zhijian Lu United States
Feng Xiao China
Jaroslav Zendulka Czechia
Dan Du relative to Vebjorn Ljosa United States Vebjorn Ljosa's profile →
Citations per field
00.5×3.4×
Vebjorn Ljosa · 1×
Citations per year

Countries citing papers authored by Dan Du

Since Specialization
Citations

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

Fields of papers citing papers by Dan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 2017123
3 201468
4 200667
5 201761
6 202059
7 201757
8 200943
9 200742
10 201830
11 200629
12 202327
13 200825
14 202423
15 199322
16 201921
17 201619
18 202116
19 200815
20 201515

About Dan Du

Dan Du is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Cell Biology and Information Systems, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Advanced Malware Detection Techniques (5 papers), CRISPR and Genetic Engineering (5 papers), Anomaly Detection Techniques and Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Hepatitis B Virus Studies (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Neurology (81 citations), Cell Biology (141 citations), Molecular Biology (528 citations), Aging (13 citations) and Signal Processing (57 citations). Dan Du has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhengjun Chen, Lei S. Qi, Chenyi Zhang, Hai‐Xin Yuan, Sihan Chen, You‐Zhi Tang, Yiguo Wang, Guang Yang, Zhen Jin and Longhou Fang. Their work appears in journals such as The EMBO Journal, Cold Spring Harbor Protocols, Computers & Security, Acta Biochimica et Biophysica Sinica and Cell Research.

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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