Seng‐Ryong Woo
- Immunology top 0.2%
- Oncology top 1%
- Molecular Biology top 5%
- Infectious Diseases top 2%
- Cancer Research top 5%
- Co-authors
- Leticia CorralesThomas F. GajewskiMercedes B. FuertesStefani SprangerJustin KlineAalok KachaKenneth M. MurphyDavid M. Kranz
- Topics
- interferon and immune responses (9 papers)Immune Cell Function and Interaction (9 papers)Cancer Immunotherapy and Biomarkers (5 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Seng‐Ryong Woo
22 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 4.5k
- Oncology 2.2k
- Molecular Biology 1.9k
- Infectious Diseases 885
- Cancer Research 407
Countries citing papers authored by Seng‐Ryong Woo
This map shows the geographic impact of Seng‐Ryong Woo'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 Seng‐Ryong Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seng‐Ryong Woo more than expected).
Fields of papers citing papers by Seng‐Ryong Woo
This network shows the impact of papers produced by Seng‐Ryong Woo. 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 Seng‐Ryong Woo. The network helps show where Seng‐Ryong Woo may publish in the future.
Co-authorship network of co-authors of Seng‐Ryong Woo
This figure shows the co-authorship network connecting the top 25 collaborators of Seng‐Ryong Woo. A scholar is included among the top collaborators of Seng‐Ryong Woo 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 Seng‐Ryong Woo. Seng‐Ryong Woo 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 | 11 | |
| 3 | 117 | |
| 4 | 212 | |
| 5 | 24 | |
| 6 | Direct Activation of STING in the Tumor Microenvironment Leads to Potent and Systemic Tumor Regression and Immunitybreakdown → | 1146 |
| 7 | STING-Dependent Cytosolic DNA Sensing Mediates Innate Immune Recognition of Immunogenic Tumorsbreakdown → | 1413 |
| 8 | 341 | |
| 9 | Stability and function of regulatory T cells is maintained by a neuropilin-1–semaphorin-4a axisbreakdown → | 445 |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 276 | |
| 13 | 36 | |
| 14 | Host type I IFN signals are required for antitumor CD8+ T cell responses through CD8α+ dendritic cellsbreakdown → | 937 |
| 15 | 39 | |
| 16 | 65 | |
| 17 | 5 | |
| 18 | 23 | |
| 19 | 30 | |
| 20 | 33 |
About Seng‐Ryong Woo
Seng‐Ryong Woo is a scholar working on Immunology, Equine and Physiology, having authored 23 papers that have together received 5.6k indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Immune Cell Function and Interaction (9 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (4.5k citations), Oncology (2.2k citations) and Infectious Diseases (885 citations). Seng‐Ryong Woo has collaborated with scholars based in United States and France. Frequent co-authors include Leticia Corrales, Thomas F. Gajewski, Mercedes B. Fuertes, Thomas F. Gajewski, Stefani Spranger, Justin Kline, Aalok Kacha, Kenneth M. Murphy, David M. Kranz and Katherine A. Fitzgerald. Their work appears in journals such as Nature, 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.