Fei‐Fei Shang

835 citations
34 papers · 675 · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Urology top 10%
    • Urinary Bladder and Prostate Research

Papers in

Fei‐Fei Shang

34 papers receiving 659 citations

Peers

Fei‐Fei Shang
Comparison fields: 5 of 88
  • Cancer Research 101
  • Urology 42
  • Developmental Neuroscience 27
  • Sensory Systems 26
  • Pharmacology 74
Replace Katharina L. Kynast with:
Katharina L. Kynast Germany
Roy Chun-Laam Ng Hong Kong
Yen‐Chun Ho Taiwan
Emelie Stenman Sweden
Wenjuan Fan China
Satoshi Ikeda Japan
Sandra Kostić Croatia
Gennaro Bruno Italy
Jiwon Ryu United States
William Antônio Gonçalves Brazil
Fei‐Fei Shang relative to Katharina L. Kynast Germany Katharina L. Kynast's profile →
Citations per field
00.5×2×3×4×5×
Katharina L. Kynast · 1×
Citations per year

Countries citing papers authored by Fei‐Fei Shang

Since Specialization
Citations

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

Fields of papers citing papers by Fei‐Fei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei‐Fei Shang. 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 Fei‐Fei Shang. The network helps show where Fei‐Fei Shang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 200969
3 202068
4 202349
5 202039
6 201635
7 201830
8 202027
9 201624
10 201923
11 202122
12 202018
13 201418
14 199717
15 201616
16 201415
17 201214
18 201513
19 202012
20 202212

About Fei‐Fei Shang

Fei‐Fei Shang is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Pathology and Forensic Medicine, having authored 34 papers that have together received 675 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), Spinal Cord Injury Research (4 papers), Nerve injury and regeneration (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Nuclear Receptors and Signaling (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (101 citations), Urology (42 citations), Developmental Neuroscience (27 citations), Sensory Systems (26 citations) and Pharmacology (74 citations). Fei‐Fei Shang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiubo Jiang, Yongzheng Guo, Yuehua You, Minghao Luo, Kylie J Mansfield, Elizabeth Burcher, Yong Xia, Suxin Luo, Hecun Zou and Lihong Tan. Their work appears in journals such as Scientific Reports, Journal of Integrative Neuroscience, Journal of Cell Communication and Signaling, Cellular and Molecular Neurobiology and Socio-Economic Planning Sciences.

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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