Urszula Dougherty
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Immunology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Marc BissonnetteRenbao ChangDali HanMarc B. BissonnetteChuanyuan ChenYi LiuMeng XuReba Mustafi
- Topics
- Cancer-related molecular mechanisms research (9 papers)RNA modifications and cancer (9 papers)MicroRNA in disease regulation (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Urszula Dougherty
52 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.5k
- Cancer Research 862
- Oncology 499
- Immunology 335
- Pathology and Forensic Medicine 296
Countries citing papers authored by Urszula Dougherty
This map shows the geographic impact of Urszula Dougherty'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 Urszula Dougherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urszula Dougherty more than expected).
Fields of papers citing papers by Urszula Dougherty
This network shows the impact of papers produced by Urszula Dougherty. 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 Urszula Dougherty. The network helps show where Urszula Dougherty may publish in the future.
Co-authorship network of co-authors of Urszula Dougherty
This figure shows the co-authorship network connecting the top 25 collaborators of Urszula Dougherty. A scholar is included among the top collaborators of Urszula Dougherty 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 Urszula Dougherty. Urszula Dougherty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | The loss of RNA N6-adenosine methyltransferase Mettl14 in tumor-associated macrophages promotes CD8+ T cell dysfunction and tumor growthbreakdown → | 201 |
| 4 | 15 | |
| 5 | 3 | |
| 6 | Anti-tumour immunity controlled through mRNA m6A methylation and YTHDF1 in dendritic cells (vol 566, pg 270, 2019) | 1 |
| 7 | 5 | |
| 8 | 72 | |
| 9 | 37 | |
| 10 | 36 | |
| 11 | XFM demonstrates preferential accumulation of a vanadyl-based MRI contrast agent in murine colonic tumors | 1 |
| 12 | 71 | |
| 13 | 36 | |
| 14 | 268 | |
| 15 | 39 | |
| 16 | 96 | |
| 17 | 30 | |
| 18 | 48 | |
| 19 | 47 | |
| 20 | 45 |
About Urszula Dougherty
Urszula Dougherty is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (9 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (862 citations), Molecular Biology (1.5k citations) and Oncology (499 citations). Urszula Dougherty has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Marc Bissonnette, Renbao Chang, Dali Han, Marc B. Bissonnette, Chuanyuan Chen, Yi Liu, Meng Xu, Reba Mustafi, Joel Pekow and John Hart. Their work appears in journals such as Nature, Journal of Clinical Investigation and Gastroenterology.
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.