Junjun Fan

580 citations
21 papers · 511 · h-index 11

Impact in

    • Bone Tissue Engineering Materials
    • Graphene and Nanomaterials Applications
    • 3D Printing in Biomedical Research
  • Pharmacology top 10%
    • Medicinal Plant Pharmacodynamics Research

Papers in

    • Bone Tissue Engineering Materials 10
    • Graphene and Nanomaterials Applications 1
    • Tissue Engineering and Regenerative Medicine 2

Junjun Fan

20 papers receiving 502 citations

Peers

Junjun Fan
Comparison fields: 5 of 57
  • Biomedical Engineering 301
  • Pharmacology 68
  • Genetics 21
  • Biomaterials 28
  • Rheumatology 26
Replace Bin Kang with:
Bin Kang China
Shengyuan Zhou China
Lucia Forte Italy
Yu‐Wei Ge China
Cuishan Huang China
Jiannan Wu China
Young-Pil Yun South Korea
Yebin Qian China
Hee Jeong Jang South Korea
Junjun Fan relative to Bin Kang China Bin Kang's profile →
Citations per field
00.5×2×3×3.6×
Bin Kang · 1×
Citations per year

Countries citing papers authored by Junjun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junjun Fan, 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 Junjun Fan Line = papers co-authored together Junjun Fan 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 201798
2 201192
3 201383
4 201145
5 201632
6 201932
7 201426
8 201422
9 201420
10 201618
11 201612
12 20208
13 20145
14 20144
15 20153
16 20213
17
Secondary injury and pro-inflammatory macrophages increase osteophyte growth and fracture healing in canine atrophic nonunion.
20223
18 20222
19 20242
20 20211

About Junjun Fan

Junjun Fan is a scholar working on Biomedical Engineering, Surgery, Epidemiology, Neurology and Hepatology, having authored 21 papers that have together received 511 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (10 papers), Bone fractures and treatments (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Bone health and osteoporosis research (1 paper), Liver physiology and pathology (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Graphene and Nanomaterials Applications (1 paper) and Medicinal Plant Pharmacodynamics Research (1 paper). The work is most often cited by research in Biomedical Engineering (301 citations), Pharmacology (68 citations), Genetics (21 citations), Biomaterials (28 citations) and Rheumatology (26 citations). Junjun Fan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Long Bi, Guoxian Pei, Chun‐Qiu Dai, Long Pang, Zhiyong Zhang, Dexin Wang, Dan Jin, Jing Li, Dong and Pan. Their work appears in journals such as BioMed Research International, International Journal of Nanomedicine, BMC Musculoskeletal Disorders, Nanoscale Research Letters and Annals of Surgical Oncology.

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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