Michael H. Kagey
- Molecular Biology top 1%
- Cancer Research top 5%
- Oncology top 5%
- Genetics top 5%
- Immunology top 5%
- Co-authors
- Peter B. RahlDavid A. OrlandoDenes HniszCharles Y. LinWarren A. WhyteBrian J. AbrahamRichard A. YoungJamie J. Newman
- Topics
- Wnt/β-catenin signaling in development and cancer (9 papers)Cancer Immunotherapy and Biomarkers (8 papers)Gastric Cancer Management and Outcomes (8 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Michael H. Kagey
32 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 5.1k
- Cancer Research 624
- Oncology 591
- Genetics 549
- Immunology 505
Countries citing papers authored by Michael H. Kagey
This map shows the geographic impact of Michael H. Kagey'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 Michael H. Kagey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Kagey more than expected).
Fields of papers citing papers by Michael H. Kagey
This network shows the impact of papers produced by Michael H. Kagey. 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 Michael H. Kagey. The network helps show where Michael H. Kagey may publish in the future.
Co-authorship network of co-authors of Michael H. Kagey
This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Kagey. A scholar is included among the top collaborators of Michael H. Kagey 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 Michael H. Kagey. Michael H. Kagey 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 | 12 | |
| 3 | 15 | |
| 4 | 15 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 52 | |
| 10 | 46 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 37 | |
| 14 | Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genesbreakdown → | 2677 |
| 15 | Mediator and cohesin connect gene expression and chromatin architecturebreakdown → | 1430 |
| 16 | 67 | |
| 17 | 12 | |
| 18 | 262 | |
| 19 | 62 | |
| 20 | 457 |
About Michael H. Kagey
Michael H. Kagey is a scholar working on Gastroenterology, Reproductive Medicine and Oncology, having authored 34 papers that have together received 5.8k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Gastric Cancer Management and Outcomes (8 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cancer Research (624 citations) and Immunology (505 citations). Michael H. Kagey has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Peter B. Rahl, David A. Orlando, Denes Hnisz, Charles Y. Lin, Warren A. Whyte, Brian J. Abraham, Richard A. Young, Richard A. Young, Jamie J. Newman and David Wotton. Their work appears in journals such as Nature, Cell and Nature Communications.
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.