Erxia Shen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
- Immunology 20
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 5
- Psoriasis: Treatment and Pathogenesis 4
- Immunodeficiency and Autoimmune Disorders 2
-
- Acute Myeloid Leukemia Research 3
- Co-authors
- Jin BuXiangming ChenJianmei W. LeavenworthHarvey CantorChangyou WuQin WangMaohua ZhouBert Verbinnen
- Journals
- International Immunopharmacology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)Cell Biology International (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Erxia Shen
24 papers receiving 560 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 403
- Dermatology 63
- Drug Discovery 1
- Hematology 64
- Oncology 131
Countries citing papers authored by Erxia Shen
This map shows the geographic impact of Erxia 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 Erxia Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erxia Shen more than expected).
Fields of papers citing papers by Erxia Shen
This network shows the impact of papers produced by Erxia 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 Erxia Shen. The network helps show where Erxia Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erxia Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 2 | |
| 8 | Epidemiology of Psoriasis and Comorbid Diseases: A Narrative Review Hit paper breakdown → | 2022 | 126 |
| 9 | 2021 | 3 | |
| 10 | 2021 | 52 | |
| 11 | 2019 | 43 | |
| 12 | 2018 | 33 | |
| 13 | 2017 | 68 | |
| 14 | 2016 | 7 | |
| 15 | 2014 | 28 | |
| 16 | 2014 | 35 | |
| 17 | 2013 | 6 | |
| 18 | 2011 | 22 | |
| 19 | 2008 | 22 | |
| 20 | PIKA adjuvant induces the immune responses in mouse in vitro and in vivo | 2006 | 2 |
About Erxia Shen
Erxia Shen is a scholar working on Immunology, Hematology, Parasitology, Otorhinolaryngology and Dermatology, having authored 25 papers that have together received 568 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (5 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Asthma and respiratory diseases (3 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (403 citations), Dermatology (63 citations), Drug Discovery (1 citation), Hematology (64 citations) and Oncology (131 citations). Erxia Shen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jin Bu, Xiangming Chen, Jianmei W. Leavenworth, Harvey Cantor, Changyou Wu, Qin Wang, Maohua Zhou, Bert Verbinnen, Xiuzhang Xu and Yu Lin. Their work appears in journals such as International Immunopharmacology, Proceedings of the National Academy of Sciences, Scientific Reports, Cell Biology International and Cell Reports.
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.