Tie Han

1.1k citations
32 papers · 817 · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 17
    • CRISPR and Genetic Engineering 3
    • Biosensors and Analytical Detection 15
    • Nanoplatforms for cancer theranostics 2

Tie Han

31 papers receiving 805 citations

Peers

Tie Han
Comparison fields: 5 of 105
  • Business and International Management 18
  • Biomedical Engineering 388
  • Molecular Biology 575
  • Biophysics 46
  • Analytical Chemistry 73
Replace Panxue Wang with:
Panxue Wang China
Gaowa Xing China
Caihong Huang China
Yuhan Sun China
Ruijie Fu China
Fahriye Ceyda Dudak Türkiye
Yeni Wahyuni Hartati Indonesia
Burcu Güven Türkiye
Deyun He China
Tie Han relative to Panxue Wang China Panxue Wang's profile →
Citations per field
00.5×3.6×
Panxue Wang · 1×
Citations per year

Countries citing papers authored by Tie Han

Since Specialization
Citations

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

Fields of papers citing papers by Tie Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022121
2 202367
3 202056
4 202053
5 202151
6 202249
7 202448
8 202036
9 202034
10 202230
11 202326
12 201925
13 202325
14 202221
15 202121
16 202119
17 202016
18 202215
19 201214
20 202114

About Tie Han

Tie Han is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Plant Science and Electrical and Electronic Engineering, having authored 32 papers that have together received 817 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Biosensors and Analytical Detection (15 papers), Luminescence and Fluorescent Materials (3 papers), CRISPR and Genetic Engineering (3 papers), Mycotoxins in Agriculture and Food (3 papers), Nanoplatforms for cancer theranostics (2 papers), Electrochemical sensors and biosensors (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Business and International Management (18 citations), Biomedical Engineering (388 citations), Molecular Biology (575 citations), Biophysics (46 citations) and Analytical Chemistry (73 citations). Tie Han has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Zhixian Gao, Shuang Li, Dianpeng Han, Shuyue Ren, Yuan Peng, Jialei Bai, Yu Wang, Kang Qin, Baoan Ning and Ruipeng Chen. Their work appears in journals such as Analytica Chimica Acta, Journal of Hazardous Materials, Talanta, Sensors and Actuators B Chemical and Bioengineering & Translational Medicine.

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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