Da Han

5.7k citations
114 papers · 4.6k indexed · 1 hit paper · h-index 37

Da Han

106 papers receiving 4.6k citations

Hit Papers

Molecular Identification of Tumor-Derived Extracellular V...186202120262022202450100150

Peers

Da Han
Comparison fields: 5 of 112
  • Molecular Biology 3.7k
  • Biomedical Engineering 1.6k
  • Biomaterials 477
  • Catalysis 143
  • Materials Chemistry 866
Replace Lihong Jing with:
Lihong Jing China
Yossi Weizmann Israel
Alastair W. Wark United Kingdom
Santanu Kumar Pal India
Cuichen Wu China
Qiongzheng Hu China
Daniel T. Kamei United States
Gary B. Braun United States
Christopher J. Wilson Belgium
Davide Demurtas Switzerland
Da Han relative to Lihong Jing China Lihong Jing's profile →
Citations per field
00.5×4.0×
Lihong Jing · 1×
Citations per year

Countries citing papers authored by Da Han

Since Specialization
Citations

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

Fields of papers citing papers by Da Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
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5 20255
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7 20244
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10 202416
11 20240
12 20242
13 20246
14 202344
15 202314
16 20226
17
Molecular Identification of Tumor-Derived Extracellular Vesicles Using Thermophoresis-Mediated DNA Computationbreakdown →
2021186
18 2017230
19 201599
20 201180

About Da Han

Da Han is a scholar working on Molecular Biology, Biomedical Engineering, Catalysis, Cancer Research and Electronic, Optical and Magnetic Materials, having authored 114 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (85 papers), RNA Interference and Gene Delivery (43 papers), Biosensors and Analytical Detection (24 papers), DNA and Nucleic Acid Chemistry (22 papers), RNA and protein synthesis mechanisms (15 papers), DNA and Biological Computing (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Biomedical Engineering (1.6k citations), Biomaterials (477 citations), Catalysis (143 citations) and Materials Chemistry (866 citations). Da Han has collaborated with scholars based in China, United States and India. Frequent co-authors include Weihong Tan, Mingxu You, Cuichen Wu, Chao Zhang, Liping Qiu, Guizhi Zhu, Zhi Zhu, Yumeng Zhao, Xiaobing Zhang and Tao Chen. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, Chemical Science, ACS Nano and Nature Communications.

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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