Ryan H. Kolb
Impact in
- Oncology top 5%
- Cancer Risks and Factors
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Oncology 20
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 5
- Immunology 13
- Immune Cell Function and Interaction 6
- IL-33, ST2, and ILC Pathways 4
- Co-authors
- Weizhou Zhang (28 shared papers)Fayyaz Shiraz Sutterwala (7 shared papers)Nicholas C. Borcherding (14 shared papers)Ann M. Janowski (4 shared papers)Guanghui Liu (2 shared papers)Ying Yan (5 shared papers)Kenneth H. Cowan (5 shared papers)Qing Mei Xie (3 shared papers)
- Journals
- Cancers (5 papers)Oncogene (4 papers)Protein & Cell (3 papers)Nature Communications (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ryan H. Kolb
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Oncology 533
- Immunology 402
- Cancer Research 252
- Molecular Biology 857
- Nephrology 50
Countries citing papers authored by Ryan H. Kolb
This map shows the geographic impact of Ryan H. Kolb'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 Ryan H. Kolb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan H. Kolb more than expected).
Fields of papers citing papers by Ryan H. Kolb
This network shows the impact of papers produced by Ryan H. Kolb. 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 Ryan H. Kolb. The network helps show where Ryan H. Kolb may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan H. Kolb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 329 | |
| 2 | 2014 | 224 | |
| 3 | 2016 | 204 | |
| 4 | 2018 | 104 | |
| 5 | 2020 | 91 | |
| 6 | 2020 | 79 | |
| 7 | 2021 | 71 | |
| 8 | 2007 | 63 | |
| 9 | 2021 | 54 | |
| 10 | 2013 | 53 | |
| 11 | 2012 | 51 | |
| 12 | 2010 | 49 | |
| 13 | 2015 | 48 | |
| 14 | 2018 | 48 | |
| 15 | 2021 | 47 | |
| 16 | 2016 | 45 | |
| 17 | 2014 | 42 | |
| 18 | 2014 | 30 | |
| 19 | 2022 | 29 | |
| 20 | 2012 | 28 |
About Ryan H. Kolb
Ryan H. Kolb is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Inflammasome and immune disorders (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Lipid metabolism and disorders (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Oncology (533 citations), Immunology (402 citations), Cancer Research (252 citations), Molecular Biology (857 citations) and Nephrology (50 citations). Ryan H. Kolb has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Weizhou Zhang, Fayyaz Shiraz Sutterwala, Nicholas C. Borcherding, Ann M. Janowski, Guanghui Liu, Ying Yan, Kenneth H. Cowan, Qing Mei Xie, Hui Peng and Jialin Zheng. Their work appears in journals such as Cancers, Oncogene, Protein & Cell, Nature Communications and Cancer Research.
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.