Ryan 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
-
- Inflammasome and immune disorders 5
- DNA Repair Mechanisms 3
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 20
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Weizhou Zhang (28 shared papers)Fayyaz S. Sutterwala (8 shared papers)Nicholas Borcherding (15 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 Xie (5 shared papers)
- Journals
- Cancers (5 papers)Cancer Research (4 papers)Oncogene (3 papers)Protein & Cell (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ryan Kolb
34 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Oncology 498
- Immunology 361
- Cancer Research 241
- Molecular Biology 826
- Nephrology 48
Countries citing papers authored by Ryan Kolb
This map shows the geographic impact of Ryan 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 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 Kolb more than expected).
Fields of papers citing papers by Ryan Kolb
This network shows the impact of papers produced by Ryan 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 Kolb. The network helps show where Ryan Kolb may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 313 | |
| 2 | 2014 | 217 | |
| 3 | 2016 | 195 | |
| 4 | 2018 | 101 | |
| 5 | 2020 | 85 | |
| 6 | 2020 | 75 | |
| 7 | 2007 | 60 | |
| 8 | 2021 | 52 | |
| 9 | 2013 | 51 | |
| 10 | 2012 | 48 | |
| 11 | 2015 | 48 | |
| 12 | 2010 | 47 | |
| 13 | 2018 | 44 | |
| 14 | 2016 | 44 | |
| 15 | 2021 | 43 | |
| 16 | 2014 | 38 | |
| 17 | 2014 | 30 | |
| 18 | 2022 | 29 | |
| 19 | 2012 | 28 | |
| 20 | 2018 | 24 |
About Ryan Kolb
Ryan Kolb is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (5 papers), Inflammasome and immune disorders (5 papers), Cancer, Lipids, and Metabolism (4 papers), IL-33, ST2, and ILC Pathways (4 papers), DNA Repair Mechanisms (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Oncology (498 citations), Immunology (361 citations), Cancer Research (241 citations), Molecular Biology (826 citations) and Nephrology (48 citations). Ryan Kolb has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Weizhou Zhang, Fayyaz S. Sutterwala, Nicholas Borcherding, Ann M. Janowski, Guanghui Liu, Ying Yan, Kenneth H. Cowan, Qing Xie, Wei Li and Yinghong Liu. Their work appears in journals such as Cancers, Cancer Research, Oncogene, Protein & Cell and PLoS ONE.
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.