Steven J. Van Dyken
- Immunology top 0.5%
- Surgery top 2%
- Physiology top 2%
- Molecular Biology
- Epidemiology top 5%
- Co-authors
- Richard M. LocksleyJesse C. NussbaumHong-Erh LiangAri B. MolofskyAlexander MohapatraLaurence E. ChengAjay ChawlaJinwoo Lee
- Topics
- IL-33, ST2, and ILC Pathways (20 papers)Eosinophilic Esophagitis (16 papers)Immune Cell Function and Interaction (15 papers)
- Cited by
- ImmunologyPhysiologySurgery
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Steven J. Van Dyken
41 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 3.2k
- Surgery 1.7k
- Physiology 1.2k
- Molecular Biology 652
- Epidemiology 538
Countries citing papers authored by Steven J. Van Dyken
This map shows the geographic impact of Steven J. Van Dyken'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 Steven J. Van Dyken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Van Dyken more than expected).
Fields of papers citing papers by Steven J. Van Dyken
This network shows the impact of papers produced by Steven J. Van Dyken. 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 Steven J. Van Dyken. The network helps show where Steven J. Van Dyken may publish in the future.
Co-authorship network of co-authors of Steven J. Van Dyken
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Van Dyken. A scholar is included among the top collaborators of Steven J. Van Dyken 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 Steven J. Van Dyken. Steven J. Van Dyken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 33 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | Tissue signals imprint ILC2 identity with anticipatory functionbreakdown → | 327 |
| 9 | 76 | |
| 10 | 192 | |
| 11 | 39 | |
| 12 | 167 | |
| 13 | Eosinophils Are Recruited in Response to Chitin Exposure and Enhance Th2-Mediated Immune Pathology in Aspergillus fumigatus Infection | 1 |
| 14 | 204 | |
| 15 | 107 | |
| 16 | 5 | |
| 17 | 31 | |
| 18 | 15 | |
| 19 | 40 | |
| 20 | 22 |
About Steven J. Van Dyken
Steven J. Van Dyken is a scholar working on Immunology, Surgery and Process Chemistry and Technology, having authored 42 papers that have together received 4.5k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (20 papers), Eosinophilic Esophagitis (16 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Immunology (3.2k citations), Physiology (1.2k citations) and Surgery (1.7k citations). Steven J. Van Dyken has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Richard M. Locksley, Jesse C. Nussbaum, Hong-Erh Liang, Ari B. Molofsky, Alexander Mohapatra, Laurence E. Cheng, Ajay Chawla, Jinwoo Lee, Emily Thornton and Matthew F. Krummel. Their work appears in journals such as Nature, Science and Cell.
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.