Fujun Shi

602 citations
20 papers · 463 · h-index 9

Impact in

Papers in

Fujun Shi

19 papers receiving 456 citations

Peers

Fujun Shi
Comparison fields: 5 of 62
  • Geriatrics and Gerontology 45
  • Cancer Research 145
  • Cardiology and Cardiovascular Medicine 94
  • Cell Biology 58
  • Molecular Biology 239
Replace Jiahao Li with:
Jiahao Li China
Shilong You China
Marina Koroleva United States
Ileana Badi Italy
Saien Lu China
Antoinette Bugyei‐Twum Canada
Kazuo Terai Japan
Soo Hyuk Kim South Korea
Shoko Sugiyama Japan
Fujun Shi relative to Jiahao Li China Jiahao Li's profile →
Citations per field
00.5×10×20×30.5×
Jiahao Li · 1×
Citations per year

Countries citing papers authored by Fujun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Fujun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011115
2 201967
3 201665
4 201063
5 201454
6 202130
7 201317
8 200914
9 201111
10 20176
11 20185
12 20243
13
[Low dosage of homoharringtonine for prevention of cicatrization after glaucoma filtering surgery].
19953
14
[Screening molecular markers in early breast cancer of the same pathological types but with different prognoses using Agilent gene chip].
20133
15 20242
16 20242
17 20241
18 20241
19
[Application of digital 3D technique combined with nanocarbon-aided navigation in endoscopic sentinel lymph node biopsy for breast cancer].
20161
20 20250

About Fujun Shi

Fujun Shi is a scholar working on Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 20 papers that have together received 463 indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (3 papers), Sphingolipid Metabolism and Signaling (3 papers), MicroRNA in disease regulation (2 papers), Nerve injury and regeneration (2 papers), Breast Cancer Treatment Studies (2 papers), Digital Radiography and Breast Imaging (2 papers), Caveolin-1 and cellular processes (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Cancer Research (145 citations), Cardiology and Cardiovascular Medicine (94 citations), Cell Biology (58 citations) and Molecular Biology (239 citations). Fujun Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zong-hai Huang, Xia Lei, Weijun Jin, Sophie Routhier, Debapriya Basu, Robert Day, Xian‐Cheng Jiang, Chunyuan Liu, Hongwei� Jiang and Jinlong Yu. Their work appears in journals such as Journal of Neurotrauma, Artificial Organs, Cell Death and Disease, Surgical Oncology and Cell Communication and Signaling.

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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