Jing Tu

2.3k citations
143 papers · 1.6k · h-index 23

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 17
    • Genomics and Phylogenetic Studies 15
    • Single-cell and spatial transcriptomics 10
    • Nanopore and Nanochannel Transport Studies 19
    • Microfluidic and Capillary Electrophoresis Applications 13

Jing Tu

127 papers receiving 1.6k citations

Peers

Jing Tu
Comparison fields: 5 of 154
  • Cancer Research 221
  • Molecular Biology 626
  • Biomedical Engineering 302
  • Materials Chemistry 256
  • Aerospace Engineering 130
Replace Qiang Wan with:
Qiang Wan China
Xiangyan Zhang China
Qingshan Huang China
Brian Agnew United Kingdom
Hiroki Ono Japan
Yujie Wang China
Mengyuan Huang China
Xiaojian Xu China
Hua Tian United States
Baoyu Li China
Jing Tu relative to Qiang Wan China Qiang Wan's profile →
Citations per field
00.5×2.9×
Qiang Wan · 1×
Citations per year

Countries citing papers authored by Jing Tu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201173
3 201466
4 201162
5 201156
6 201852
7 201345
8 201433
9 202032
10 202130
11 201730
12 201730
13 201830
14 201930
15 202029
16 201028
17 202026
18 201925
19
Functional expression of the human insulin gene in a human hepatoma cell line (HEP G2).
199525
20 202024

About Jing Tu

Jing Tu is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Materials Chemistry and Electrical and Electronic Engineering, having authored 143 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (19 papers), Advanced biosensing and bioanalysis techniques (17 papers), Genomics and Phylogenetic Studies (15 papers), Microfluidic and Capillary Electrophoresis Applications (13 papers), Cancer Genomics and Diagnostics (11 papers), Single-cell and spatial transcriptomics (10 papers), Ion-surface interactions and analysis (10 papers) and Thermal properties of materials (9 papers). The work is most often cited by research in Cancer Research (221 citations), Molecular Biology (626 citations), Biomedical Engineering (302 citations), Materials Chemistry (256 citations) and Aerospace Engineering (130 citations). Jing Tu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Zuhong Lu, Yi Qiao, Li‐Wu Fan, Zuhong Lu, Na Lü, Biao Feng, Junji Li, Bin Liu, Baoguo Xu and Min Zhang. Their work appears in journals such as International Journal of Molecular Sciences, RSC Advances, Talanta, International Journal of Heat and Mass Transfer and PLoS ONE.

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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