Jun Ruan

590 citations
21 papers · 476 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Advanced biosensing and bioanalysis techniques 2
    • Protein Degradation and Inhibitors 1

Jun Ruan

18 papers receiving 463 citations

Peers

Jun Ruan
Comparison fields: 5 of 102
  • Plant Science 125
  • Pharmacology 24
  • Biomaterials 33
  • Molecular Biology 155
  • Biomedical Engineering 99
Replace George Miloshev with:
George Miloshev Bulgaria
Essam Kotb Saudi Arabia
Xinquan Liu China
R Parikh India
Tahir ul Gani Mir India
Bahman Khalvati Iran
Marcelo Grijalva Ecuador
Alejandro Zugasti‐Cruz Mexico
Antresh Kumar India
Linlin Xie China
Jun Ruan relative to George Miloshev Bulgaria George Miloshev's profile →
Citations per field
00.5×2×3×3.7×
George Miloshev · 1×
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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019144
2 2019113
3 201844
4 201929
5 202427
6 202022
7 201720
8 202114
9 201813
10 201612
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 20260

About Jun Ruan

Jun Ruan is a scholar working on Molecular Biology, Plant Science, Oncology, Electrical and Electronic Engineering and Electrochemistry, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Cancer Cells and Metastasis (2 papers), Electrochemical sensors and biosensors (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Electrochemical Analysis and Applications (2 papers), Analytical Chemistry and Sensors (1 paper), Mangiferin and Mango Extracts (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Plant Science (125 citations), Pharmacology (24 citations), Biomaterials (33 citations), Molecular Biology (155 citations) and Biomedical Engineering (99 citations). Jun Ruan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xuan Zhuang, Jinyuan Ma, Zhiming Li, Xingping Liu, Yan Zhang, Xinzong Zhang, Zhiming Li, Zhiming Li, Hui Jiang and Tianyu Du. Their work appears in journals such as Cell Regeneration, Nanoscale Research Letters, ACS Applied Materials & Interfaces, Chinese Chemical Letters and Biomedicine & Pharmacotherapy.

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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