Faming Pan

3.4k total citations · 1 hit paper
175 papers, 2.4k citations indexed

About

Faming Pan is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Faming Pan has authored 175 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Rheumatology, 50 papers in Immunology and 35 papers in Molecular Biology. Recurrent topics in Faming Pan's work include Spondyloarthritis Studies and Treatments (54 papers), Rheumatoid Arthritis Research and Therapies (25 papers) and Autoimmune and Inflammatory Disorders Research (21 papers). Faming Pan is often cited by papers focused on Spondyloarthritis Studies and Treatments (54 papers), Rheumatoid Arthritis Research and Therapies (25 papers) and Autoimmune and Inflammatory Disorders Research (21 papers). Faming Pan collaborates with scholars based in China, Australia and United States. Faming Pan's co-authors include Shengqian Xu, Yubo Ma, Shanshan Xu, Xu Zhang, Guoqi Cai, Jianhua Xu, Dazhi Fan, Jixiang Deng, Zongwen Shuai and Xing Gao and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Faming Pan

163 papers receiving 2.4k citations

Hit Papers

Global burden and risk factors of musculoskeletal disorde... 2023 2026 2024 2025 2023 20 40 60

Peers

Faming Pan
Comparison fields: 5 of 126
  • Rheumatology 988
  • Immunology 707
  • Molecular Biology 501
  • Hematology 342
  • Health, Toxicology and Mutagenesis 252
Replace Yuko Takahashi with:
Yuko Takahashi Japan
Patrizia Pignatti Italy
Hyoun‐Ah Kim South Korea
İ̇smail Sarı Türkiye
Robert W. Powers United States
Yubo Ma China
Ombretta Viapiana Italy
Ghazi Zaatari Lebanon
Angelo Fassio Italy
Erkan Demirkaya Türkiye
Yuko Takahashi Japan View profile →
Citations per field, relative to Faming Pan
Faming Pan · 1×
Citations per year, relative to Faming Pan
Faming Pan · 1×

Countries citing papers authored by Faming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Faming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faming Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Pan. A scholar is included among the top collaborators of Faming Pan 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 Faming Pan. Faming Pan 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
# Work Indexed citations
1 2
2 5
3 5
4 0
5 0
6 16
7 9
8 5
9 4
10 6
11 27
12 4
13 4
14 20
15 33
16 23
17 9
18 23
19 30
20
Study of the interleukin-1F7 gene single nucleotide polymorphism in patients with ankylosing spondylitis
3

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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