Wenjing Yang
- Molecular Biology top 5%
- Immunology top 2%
- Genetics top 5%
- Physiology top 5%
- Oncology top 5%
- Co-authors
- Yingzi CongZhanju LiuSuxia YaoTianming YuXiangsheng HuangSara M. DannLeiqi XuAnthony J. Bilotta
- Topics
- Immune Cell Function and Interaction (25 papers)Inflammatory Bowel Disease (12 papers)IL-33, ST2, and ILC Pathways (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wenjing Yang
77 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.4k
- Immunology 1.1k
- Genetics 580
- Physiology 492
- Oncology 471
Countries citing papers authored by Wenjing Yang
This map shows the geographic impact of Wenjing Yang'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 Wenjing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjing Yang more than expected).
Fields of papers citing papers by Wenjing Yang
This network shows the impact of papers produced by Wenjing Yang. 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 Wenjing Yang. The network helps show where Wenjing Yang may publish in the future.
Co-authorship network of co-authors of Wenjing Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenjing Yang. A scholar is included among the top collaborators of Wenjing Yang 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 Wenjing Yang. Wenjing Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | Graph Adversarial Self-Supervised Learning | 12 |
| 6 | Gut microbiota-derived metabolites in the regulation of host immune responses and immune-related inflammatory diseasesbreakdown → | 393 |
| 7 | Intestinal microbiota-derived short-chain fatty acids regulation of immune cell IL-22 production and gut immunitybreakdown → | 734 |
| 8 | 24 | |
| 9 | 38 | |
| 10 | 49 | |
| 11 | Data Descriptor: Structural and functional brain scans from the cross-sectional Southwest University adult lifespan dataset | 3 |
| 12 | 27 | |
| 13 | 123 | |
| 14 | 15 | |
| 15 | Characterization of a Neutral Protease Gene of Bacillus subtilis Isolated from the Guts of Bombyx mori | 2 |
| 16 | 1 | |
| 17 | Catenary Detection System Based on Multi-frame Character Recognition | 1 |
| 18 | 3 | |
| 19 | 121 | |
| 20 | Analysis of Bacterial Community and Screening and Identification of Enzyme-Producing Bacteria in Intestine of Antheraea pernyi | 4 |
About Wenjing Yang
Wenjing Yang is a scholar working on Immunology, Biological Psychiatry and Genetics, having authored 82 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), Inflammatory Bowel Disease (12 papers) and IL-33, ST2, and ILC Pathways (11 papers). The work is most often cited by research in Biological Psychiatry (168 citations), Immunology (1.1k citations) and Gastroenterology (201 citations). Wenjing Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingzi Cong, Zhanju Liu, Suxia Yao, Tianming Yu, Xiangsheng Huang, Sara M. Dann, Leiqi Xu, Anthony J. Bilotta, Mingming Sun and Wei Wu. Their work appears in journals such as Science, Nature Communications and The EMBO Journal.
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.