Fang Shen
- Immunology top 1%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Sarah L. GaffenMatthew J. RuddyJeffrey YuAndrea M. CooperJeffrey J. FountainJavier Rangel‐MorenoSheri M. EatonRichard M. Locksley
- Topics
- Psoriasis: Treatment and Pathogenesis (12 papers)Immunodeficiency and Autoimmune Disorders (5 papers)NF-κB Signaling Pathways (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesCanadaMyanmar
In The Last Decade
Fang Shen
20 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 2.4k
- Infectious Diseases 1.0k
- Epidemiology 923
- Molecular Biology 547
- Oncology 432
Countries citing papers authored by Fang Shen
This map shows the geographic impact of Fang 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 Fang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Shen more than expected).
Fields of papers citing papers by Fang Shen
This network shows the impact of papers produced by Fang 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 Fang Shen. The network helps show where Fang Shen may publish in the future.
Co-authorship network of co-authors of Fang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Shen. A scholar is included among the top collaborators of Fang 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 Fang Shen. Fang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | 11 | |
| 5 | 107 | |
| 6 | 99 | |
| 7 | 97 | |
| 8 | Th17 cells and IL-17 receptor signaling are essential for mucosal host defense against oral candidiasisbreakdown → | 786 |
| 9 | 1 | |
| 10 | 116 | |
| 11 | 212 | |
| 12 | 40 | |
| 13 | IL-23 and IL-17 in the establishment of protective pulmonary CD4+ T cell responses after vaccination and during Mycobacterium tuberculosis challengebreakdown → | 1139 |
| 14 | 6 | |
| 15 | 131 | |
| 16 | 90 | |
| 17 | 114 | |
| 18 | 250 | |
| 19 | 177 | |
| 20 | 220 |
About Fang Shen
Fang Shen is a scholar working on Immunology, Dermatology and Pathology and Forensic Medicine, having authored 20 papers that have together received 3.6k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (12 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Immunology (2.4k citations), Infectious Diseases (1.0k citations) and Dermatology (312 citations). Fang Shen has collaborated with scholars based in United States, Canada and Myanmar. Frequent co-authors include Sarah L. Gaffen, Matthew J. Ruddy, Jeffrey Yu, Andrea M. Cooper, Jeffrey J. Fountain, Javier Rangel‐Moreno, Sheri M. Eaton, Richard M. Locksley, Troy D. Randall and Shabaana A. Khader. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.