Fei Cong

441 citations
16 papers · 368 · h-index 10

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Bone Metabolism and Diseases 3
    • Cancer-related gene regulation 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 4

Fei Cong

15 papers receiving 365 citations

Peers

Fei Cong
Comparison fields: 5 of 67
  • Physiology 41
  • Cancer Research 78
  • Molecular Biology 237
  • Aging 4
  • Rheumatology 31
Replace Irina Gurt with:
Irina Gurt Israel
Eveline M. Hogenhout Netherlands
Andrea V. Leisewitz Chile
Irina Voronov Canada
Tomokazu Fujimoto Japan
Sonia Cordisco Italy
Di Du China
Junji Shinoda Japan
Judy Choy United States
Jesung Moon United States
Fei Cong relative to Irina Gurt Israel Irina Gurt's profile →
Citations per field
00.5×1.5×2.3×
Irina Gurt · 1×
Citations per year

Countries citing papers authored by Fei Cong

Since Specialization
Citations

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

Fields of papers citing papers by Fei Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201387
2 201567
3 201743
4 201931
5 202024
6
MicroRNAs associated with osteoarthritis differently expressed in bone matrix gelatin (BMG) rat model.
201524
7 201722
8 201519
9 201717
10 202015
11 20226
12 20185
13 20234
14 20243
15 20221
16 20250

About Fei Cong

Fei Cong is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Rheumatology and Surgery, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Bone Metabolism and Diseases (3 papers), Cancer-related gene regulation (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Circular RNAs in diseases (2 papers), Vitamin D Research Studies (2 papers), Plant and Fungal Interactions Research (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Physiology (41 citations), Cancer Research (78 citations), Molecular Biology (237 citations), Aging (4 citations) and Rheumatology (31 citations). Fei Cong has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Tao Song, Jinzhu Fan, Xuehai Ou, Wentao Zhang, Xiaolong Du, Wentao Zhang, Yongmin Xiong, Li Mao, Yue‐Lei Chen and Chen Li. Their work appears in journals such as Gene, PLoS ONE, Chemico-Biological Interactions, Development and Journal of Cancer.

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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