Jing Tu

2.3k citations
139 papers · 1.6k · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Advanced biosensing and bioanalysis techniques
    • Genomics and Phylogenetic Studies

Papers in

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

Jing Tu

123 papers receiving 1.6k citations

Peers

Jing Tu
Comparison fields: 5 of 156
  • Cancer Research 244
  • Molecular Biology 665
  • Biomedical Engineering 291
  • Materials Chemistry 248
  • Aerospace Engineering 127
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Ke Hu China
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Brian Agnew United Kingdom
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Jing Tu relative to Ke Hu China Ke Hu's profile →
Citations per field
00.5×1.5×2.0×
Ke Hu · 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 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 201173
3 201466
4 201162
5 201156
6 201851
7 201344
8 201431
9 202031
10 201730
11 201830
12 201730
13 201930
14 202029
15 201028
16 202127
17
Functional expression of the human insulin gene in a human hepatoma cell line (HEP G2).
199525
18 201924
19 202024
20 202023

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 139 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), Genomics and Phylogenetic Studies (17 papers), Nanopore and Nanochannel Transport Studies (17 papers), Microfluidic and Capillary Electrophoresis Applications (13 papers), Cancer Genomics and Diagnostics (11 papers), Single-cell and spatial transcriptomics (10 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (244 citations), Molecular Biology (665 citations), Biomedical Engineering (291 citations), Materials Chemistry (248 citations) and Aerospace Engineering (127 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, Huicong Liu and Min Zhang. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Heat and Mass Transfer, RSC Advances, Analytica Chimica Acta and Nucleic Acids Research.

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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