Patrick Ryan Hagner
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 21
- Genetics 16
- Chronic Lymphocytic Leukemia Research 15
- Co-authors
- Ronald B. Gartenhaus (8 shared papers)Krystyna Mazan-Mamczarz (9 shared papers)Anita Krithivas Gandhi (12 shared papers)Abraham Schneider (1 shared paper)Rajesh Kumar Chopra (4 shared papers)Bojie Dai (6 shared papers)Kevin G. Becker (3 shared papers)Suzana S. Couto (4 shared papers)
- Journals
- Blood (20 papers)Oncogene (3 papers)Clinical Cancer Research (3 papers)Nature Communications (2 papers)Blood Cancer Journal (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Patrick Ryan Hagner
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Hematology 312
- Pathology and Forensic Medicine 376
- Genetics 207
- Oncology 493
- Molecular Biology 904
Countries citing papers authored by Patrick Ryan Hagner
This map shows the geographic impact of Patrick Ryan Hagner'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 Patrick Ryan Hagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Ryan Hagner more than expected).
Fields of papers citing papers by Patrick Ryan Hagner
This network shows the impact of papers produced by Patrick Ryan Hagner. 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 Patrick Ryan Hagner. The network helps show where Patrick Ryan Hagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Ryan Hagner, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 190 | |
| 2 | 2015 | 167 | |
| 3 | 2017 | 143 | |
| 4 | 2008 | 100 | |
| 5 | 2018 | 86 | |
| 6 | 2010 | 81 | |
| 7 | 2020 | 67 | |
| 8 | 2012 | 58 | |
| 9 | 2011 | 54 | |
| 10 | 2013 | 52 | |
| 11 | 2020 | 45 | |
| 12 | 2017 | 43 | |
| 13 | 2010 | 43 | |
| 14 | 2019 | 42 | |
| 15 | 2023 | 41 | |
| 16 | 2008 | 37 | |
| 17 | 2011 | 35 | |
| 18 | 2021 | 28 | |
| 19 | 2020 | 26 | |
| 20 | 2009 | 25 |
About Patrick Ryan Hagner
Patrick Ryan Hagner is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Molecular Biology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (15 papers), Protein Degradation and Inhibitors (14 papers), CAR-T cell therapy research (10 papers), RNA modifications and cancer (7 papers), Multiple Myeloma Research and Treatments (5 papers), RNA Research and Splicing (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Hematology (312 citations), Pathology and Forensic Medicine (376 citations), Genetics (207 citations), Oncology (493 citations) and Molecular Biology (904 citations). Patrick Ryan Hagner has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ronald B. Gartenhaus, Krystyna Mazan-Mamczarz, Anita Krithivas Gandhi, Abraham Schneider, Rajesh Kumar Chopra, Bojie Dai, Kevin G. Becker, Suzana S. Couto, Anjan Thakurta and William H. Wood. Their work appears in journals such as Blood, Oncogene, Clinical Cancer Research, Nature Communications and Blood Cancer Journal.
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.