Fei Song

3.6k citations
81 papers · 2.7k indexed · h-index 30
Topics
Advanced Glycation End Products research (21 papers)Wound Healing and Treatments (15 papers)Diabetic Foot Ulcer Assessment and Management (10 papers)

In The Last Decade

Fei Song

80 papers receiving 2.7k citations

Peers

Fei Song
Comparison fields: 5 of 115
  • Clinical Biochemistry 908
  • Molecular Biology 734
  • Endocrinology, Diabetes and Metabolism 510
  • Immunology 416
  • Physiology 397
Replace Jaroslaw W. Zmijewski with:
Jaroslaw W. Zmijewski United States
Francesca Riuzzi Italy
Mingyuan Wu China
Kathleen Jacobs United States
Angela Raucci Italy
Natalie J. Török United States
Hideto Yonekura Japan
Haydee E. P. Bazán United States
Lucia La Sala Italy
Yaoming Xue China
Fei Song relative to Jaroslaw W. Zmijewski United States Jaroslaw W. Zmijewski's profile →
Citations per field
00.5×3.0×
Jaroslaw W. Zmijewski · 1×
Citations per year

Countries citing papers authored by Fei Song

Since Specialization
Citations

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

Fields of papers citing papers by Fei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Song. A scholar is included among the top collaborators of Fei Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fei Song. Fei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 9
5 12
6 15
7 47
8 82
9 66
10 6
11
[Infiltration of macrophages and their phenotype in the healing process of full-thickness wound in rat].
2
12 53
13 53
14 11
15 56
16 37
17 59
18 59
19 2
20 15

About Fei Song

Fei Song is a scholar working on Clinical Biochemistry, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (21 papers), Wound Healing and Treatments (15 papers) and Diabetic Foot Ulcer Assessment and Management (10 papers). The work is most often cited by research in Clinical Biochemistry (908 citations), Endocrinology, Diabetes and Metabolism (510 citations) and Rehabilitation (187 citations). Fei Song has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ann Marie Schmidt, Rosa Rosario, Ravichandran Ramasamy, Radha Ananthakrishnan, Shi Fang Yan, Jeffrey A. Loeb, Malathi Srinivasan, Ravikumar Aalinkeel, Wu Qu and Mulchand S. Patel. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026