Bin Duan

1.0k citations
19 papers · 631 indexed · 1 hit paper · h-index 11
Topics
Single-cell and spatial transcriptomics (10 papers)Cancer Genomics and Diagnostics (5 papers)Gene expression and cancer classification (3 papers)

In The Last Decade

Bin Duan

18 papers receiving 627 citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep lea...20182026202020232018100200300

Peers

Bin Duan
Comparison fields: 5 of 86
  • Molecular Biology 534
  • Cancer Research 52
  • Genetics 51
  • Biophysics 42
  • Artificial Intelligence 40
Replace Chenyu Zhu with:
Chenyu Zhu China
Jiecong Lin Hong Kong
Jia Wei China
Norbert Dojer Poland
Reza Mirzazadeh Sweden
Xianhua Dai China
Bahar Yilmazel United States
Alan Luu United States
Benjamin Lee United States
Ferhat Alkan Denmark
Bin Duan relative to Chenyu Zhu China Chenyu Zhu's profile →
Citations per field
00.5×
Chenyu Zhu · 1×
Citations per year

Countries citing papers authored by Bin Duan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Duan. A scholar is included among the top collaborators of Bin Duan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Duan. Bin Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 7
4 11
5 31
6 12
7 9
8 55
9 5
10 14
11 20
12 11
13 67
14
DeepCRISPR: optimized CRISPR guide RNA design by deep learningbreakdown →
356
15 15
16 2
17 1
18 12
19
Control strategy improved fault ride-through for doubly-fed wind-power generation system
1

About Bin Duan

Bin Duan is a scholar working on Biophysics, Cancer Research and Energy Engineering and Power Technology, having authored 19 papers that have together received 631 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Business and International Management (36 citations), Aging (24 citations) and Molecular Biology (534 citations). Bin Duan has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Qi Liu, Chenyu Zhu, Guohui Chuai, Hanhui Ma, Chi Zhou, Nanfang Hong, Jia Wei, De-Shuang Huang, Dongyu Xue and Ming Chen. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Science Advances.

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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