851 total citations 36 papers, 659 citations indexed
About
De Fen Shen is a scholar working on Ophthalmology, Immunology and Neurology.
According to data from OpenAlex, De Fen Shen has authored 36 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ophthalmology, 14 papers in Immunology and 9 papers in Neurology. Recurrent topics in De Fen Shen's work include Ocular Diseases and Behçet’s Syndrome (11 papers), CNS Lymphoma Diagnosis and Treatment (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). De Fen Shen is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (11 papers), CNS Lymphoma Diagnosis and Treatment (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). De Fen Shen collaborates with scholars based in United States, France and Switzerland. De Fen Shen's co-authors include Chi‐Chao Chan, Nadine Tuaillon, Ronald Buggage, Phuc LeHoang, Zhengping Zhuang, Leaf Huang, Anthony H. C. Huang, Robert B. Nussenblatt, Bao Lu and Barrett J. Rollins and has published in prestigious journals such as Blood, Cancer Research and The FASEB Journal.
In The Last Decade
De Fen Shen
36 papers
receiving
645 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of De Fen Shen'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 De Fen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Fen Shen more than expected).
This network shows the impact of papers produced by De Fen Shen. 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 De Fen Shen. The network helps show where De Fen Shen may publish in the future.
Co-authorship network of co-authors of De Fen Shen
This figure shows the co-authorship network connecting the top 25 collaborators of De Fen Shen.
A scholar is included among the top collaborators of De Fen Shen 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 De Fen Shen. De Fen Shen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chu, Xi, Yujuan Wang, De Fen Shen, et al.. (2013). Adult human RPE has greater susceptibility to IL17A-induced degeneration than fetal human RPE. Investigative Ophthalmology & Visual Science. 54(15). 1780–1780.1 indexed citations
3.
Ardeljan, Daniel, Yujuan Wang, De Fen Shen, et al.. (2013). Interleukin-17 neutralization ameliorates retinal degeneration in Cx3cr1-/-/Ccl2-/-/Crb1rd8 mice. Investigative Ophthalmology & Visual Science. 54(15). 1713–1713.2 indexed citations
Shen, De Fen, Lai Wei, Yujuan Wang, et al.. (2012). IL-17A and IL-17RC Expression in the Macula of the Human Eye with Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 53(14). 1667–1667.3 indexed citations
6.
Ardeljan, Daniel, Yujuan Wang, De Fen Shen, Jingsheng Tuo, & Chi‐Chao Chan. (2012). Treatment With Recombinant Interleukin-17A Reduces ARPE-19 Cell Viability. Investigative Ophthalmology & Visual Science. 53(14). 1227–1227.2 indexed citations
Shen, De Fen, Jingsheng Tuo, Alexandra A. Herzlich, et al.. (2008). Chlamydia Pneumoniae Infection, Complement Factor H Variant, and Age-Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 49(13). 1356–1356.1 indexed citations
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.