Jun Ruan

574 citations
20 papers · 441 · h-index 10

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Ubiquitin and proteasome pathways 2
    • Kruppel-like factors research 1
    • Metabolism, Diabetes, and Cancer 1
    • Cancer Cells and Metastasis 2

Jun Ruan

18 papers receiving 429 citations

Peers

Jun Ruan
Comparison fields: 5 of 103
  • Pharmacology 28
  • Plant Science 116
  • Biomaterials 31
  • Molecular Biology 159
  • Biomedical Engineering 98
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Xinquan Liu China
R Parikh India
George Miloshev Bulgaria
Shubhrima Ghosh India
Shanshan Xing China
Gregor Malich Australia
Changsheng Shao China
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Khadijah A. Altammar Saudi Arabia
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Jun Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019135
2 2019107
3 201841
4 201928
5 202022
6 201719
7 202416
8 201813
9 202112
10 201610
11 20229
12 20178
13 20118
14
Biological characteristics of breast carcinomas with neuroendocrine cell differentiation.
20045
15 20175
16 20241
17
[Relationship between bFGF mRNA and MMP-9 mRNA expression in gastric carcinoma and their clinicopathological features as well as patients survival].
20051
18 20181
19
Expressions of H2AX in cervical squamous carcinoma and their clinical significances.
20170
20 20090

About Jun Ruan

Jun Ruan is a scholar working on Molecular Biology, Oncology, Plant Science, Biomedical Engineering and Epidemiology, having authored 20 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Electrochemical sensors and biosensors (2 papers), Electrochemical Analysis and Applications (2 papers), Cancer Cells and Metastasis (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Ubiquitin and proteasome pathways (2 papers), Kruppel-like factors research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Pharmacology (28 citations), Plant Science (116 citations), Biomaterials (31 citations), Molecular Biology (159 citations) and Biomedical Engineering (98 citations). Jun Ruan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xuan Zhuang, Jinyuan Ma, Zhiming Li, Xinzong Zhang, Zhiming Li, Yan Zhang, Xingping Liu, Zhiming Li, Hui Jiang and Xuemei Wang. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Royal Society Open Science, Anti-Cancer Drugs, Chinese Chemical Letters and European Journal of Pharmacology.

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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