Feng Jiang

2.6k citations
70 papers · 1.7k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • S100 Proteins and Annexins
    • RNA Interference and Gene Delivery

Papers in

    • RNA modifications and cancer 8
    • Circular RNAs in diseases 5
    • Extracellular vesicles in disease 5
    • S100 Proteins and Annexins 4
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 8

Feng Jiang

67 papers receiving 1.6k citations

Peers

Feng Jiang
Comparison fields: 5 of 108
  • Cancer Research 597
  • Molecular Biology 1.2k
  • Immunology 244
  • Oncology 198
  • Cell Biology 97
Replace Yang Xu with:
Yang Xu China
Weiwei Li China
Xia Yang China
Minfeng Chen China
Xudong Tang China
Katiuscia Dallaglio Italy
Tao Huang China
Chun‐Ping Cui China
Feng Jiang relative to Yang Xu China Yang Xu's profile →
Citations per field
00.5×1.5×2.2×
Yang Xu · 1×
Citations per year

Countries citing papers authored by Feng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2 2013103
3 201779
4 201463
5 202063
6 201261
7 200847
8 201647
9 201143
10 201743
11 201141
12 201939
13 200938
14 201837
15 201836
16 201735
17 202033
18 202033
19 201733
20 200331

About Feng Jiang

Feng Jiang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Surgery, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Extracellular vesicles in disease (5 papers), Galectins and Cancer Biology (4 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Cancer Research (597 citations), Molecular Biology (1.2k citations), Immunology (244 citations), Oncology (198 citations) and Cell Biology (97 citations). Feng Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mingbing Xiao, Runzhou Ni, Cuihua Lu, Wenkai Ni, Jinxia Liu, Lishuai Qu, Jing Zhu, Lili Yu, Yi‐Fei Ji and Buyou Chen. Their work appears in journals such as Journal of Cellular Biochemistry, Investigative Ophthalmology & Visual Science, Molecular Biology Reports, Journal of Cellular and Molecular Medicine and PLoS ONE.

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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