Jun Jia

3.1k citations
103 papers · 2.1k · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Vascular Malformations and Hemangiomas 16
    • Reconstructive Surgery and Microvascular Techniques 7
    • Salivary Gland Tumors Diagnosis and Treatment 7
    • RNA modifications and cancer 9
    • Extracellular vesicles in disease 9
    • RNA Research and Splicing 6

Jun Jia

93 papers receiving 2.1k citations

Peers

Jun Jia
Comparison fields: 5 of 125
  • Cancer Research 469
  • Biomaterials 254
  • Oral Surgery 133
  • Genetics 145
  • Molecular Biology 906
Replace Tao Ma with:
Tao Ma United States
Dongxia Ye China
Huifang Zhou China
Tengfei Zhou China
Risto Penttinen Finland
Hideki Yoshikawa Japan
Hideo Morioka Japan
Jeong‐Hwa Baek South Korea
Shuying Yang United States
Tzu‐Hua Lin United States
Jun Jia relative to Tao Ma United States Tao Ma's profile →
Citations per field
00.5×3.1×
Tao Ma · 1×
Citations per year

Countries citing papers authored by Jun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011132
2 2007117
3 2017109
4 200790
5 200486
6 201186
7 200779
8 200969
9 201365
10 200760
11 201559
12 201054
13 201549
14 201148
15 201346
16 201142
17 201639
18 201239
19 201239
20 201538

About Jun Jia

Jun Jia is a scholar working on Surgery, Molecular Biology, Oncology, Cancer Research and Immunology, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Vascular Malformations and Hemangiomas (16 papers), RNA modifications and cancer (9 papers), Extracellular vesicles in disease (9 papers), Reconstructive Surgery and Microvascular Techniques (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers), Oral and Maxillofacial Pathology (7 papers), RNA Research and Splicing (6 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Cancer Research (469 citations), Biomaterials (254 citations), Oral Surgery (133 citations), Genetics (145 citations) and Molecular Biology (906 citations). Jun Jia has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Yi‐Fang Zhao, Zhi‐Jun Sun, Yuanyuan Duan, Wen‐Feng Zhang, Yi‐Fang Zhao, Rong Jia, Jihua Guo, Jian‐Gang Ren, Zi‐Li Yu and Yulin Jia. Their work appears in journals such as Journal of Craniofacial Surgery, International Journal of Oral and Maxillofacial Surgery, Journal of Oral and Maxillofacial Surgery, Journal of Clinical Pathology and Journal of Cellular Physiology.

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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