Feng Jiang

1.6k citations
72 papers · 1.1k · h-index 20

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Bacterial biofilms and quorum sensing 4
    • Pancreatic function and diabetes 7
    • Orthopedic Infections and Treatments 5

Feng Jiang

69 papers receiving 1.1k citations

Peers

Feng Jiang
Comparison fields: 5 of 108
  • Rehabilitation 87
  • Nephrology 90
  • Endocrinology, Diabetes and Metabolism 131
  • Biomaterials 92
  • Microbiology 40
Replace Tomasz Grzela with:
Tomasz Grzela Poland
Murat Alper Türkiye
Hai Zou China
Feng‐Lai Yuan China
Mani Alikhani United States
Craig D. Kamerath United States
Richard Viebahn Germany
Yuheng Zhang China
Yong Suk Cho South Korea
M Barsotti Italy
Feng Jiang relative to Tomasz Grzela Poland Tomasz Grzela's profile →
Citations per field
00.5×3.5×
Tomasz Grzela · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202176
2 201859
3 202156
4 201554
5 201648
6 202238
7 201636
8 201833
9 202428
10 201527
11 201527
12 202124
13 201723
14 201823
15 201422
16 202522
17 201422
18 202122
19 202121
20 201620

About Feng Jiang

Feng Jiang is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Infectious Diseases, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Genetic Associations and Epidemiology (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Orthopedic Infections and Treatments (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Bacterial biofilms and quorum sensing (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Rehabilitation (87 citations), Nephrology (90 citations), Endocrinology, Diabetes and Metabolism (131 citations), Biomaterials (92 citations) and Microbiology (40 citations). Feng Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Cheng Hu, Weiping Jia, Yuqian Bao, Rong Zhang, Jing Yan, Danfeng Peng, Hao Shen, Dandan Yan, Jinlong Yu and Miao Chen. Their work appears in journals such as BioMed Research International, Diabetic Medicine, Scientific Reports, Advanced Functional Materials and Frontiers in Microbiology.

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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