Dan Jin

1.4k citations
46 papers · 1.2k · h-index 17

Impact in

    • Advanced biosensing and bioanalysis techniques
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Biosensors and Analytical Detection
    • Nanopore and Nanochannel Transport Studies

Papers in

    • Advanced biosensing and bioanalysis techniques 14
    • Extracellular vesicles in disease 11
    • RNA Interference and Gene Delivery 5
    • CRISPR and Genetic Engineering 4
    • Photonic and Optical Devices 11
    • Semiconductor Lasers and Optical Devices 5

Dan Jin

44 papers receiving 1.1k citations

Peers

Dan Jin
Comparison fields: 5 of 93
  • Molecular Biology 748
  • Biomedical Engineering 434
  • Bioengineering 44
  • Cancer Research 117
  • Electronic, Optical and Magnetic Materials 137
Replace Markéta Svobodová with:
Markéta Svobodová Spain
Anzhi Sheng China
Andrew T. Csordas United States
Amadeo Sena‐Torralba Spain
Tomáš Špringer Czechia
Л. В. Генинг Russia
Rebeca Miranda‐Castro Spain
Pai Peng China
Dan Jin relative to Markéta Svobodová Spain Markéta Svobodová's profile →
Citations per field
00.5×5.1×
Markéta Svobodová · 1×
Citations per year

Countries citing papers authored by Dan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 2019118
3 202083
4 202078
5 202167
6 201757
7 200451
8 201644
9 202044
10 202040
11 200939
12 202339
13 202038
14 202237
15 201028
16 200721
17 202219
18 202015
19 200815
20 201915

About Dan Jin

Dan Jin is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Extracellular vesicles in disease (11 papers), Photonic and Optical Devices (11 papers), Nonlinear Optical Materials Research (8 papers), Semiconductor Lasers and Optical Devices (5 papers), RNA Interference and Gene Delivery (5 papers), CRISPR and Genetic Engineering (4 papers) and Nanopore and Nanochannel Transport Studies (4 papers). The work is most often cited by research in Molecular Biology (748 citations), Biomedical Engineering (434 citations), Bioengineering (44 citations), Cancer Research (117 citations) and Electronic, Optical and Magnetic Materials (137 citations). Dan Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Guojun Zhang, Fan Yang, Zhiyong Zhang, Yulin Zhang, Mengmeng Xiao, Yi Yu, Ding Wu, Fubing Wang, Yujuan Zhou and Li Liu. Their work appears in journals such as Analytical Chemistry, Biosensors and Bioelectronics, Journal of Lightwave Technology, Sensors and Actuators B Chemical and ACS Sensors.

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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