Patrick R. Hagner
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 23
- Ubiquitin and proteasome pathways 6
- RNA modifications and cancer 5
- Oncology 23
- CAR-T cell therapy research 14
- Peptidase Inhibition and Analysis 5
- Co-authors
- Ronald B. Gartenhaus (8 shared papers)Krystyna Mazan-Mamczarz (9 shared papers)Anita K. Gandhi (34 shared papers)Abraham Schneider (1 shared paper)Bojie Dai (6 shared papers)Rajesh Chopra (9 shared papers)Kevin G. Becker (3 shared papers)Anjan Thakurta (13 shared papers)
- Journals
- Blood (35 papers)Cancer Research (3 papers)Oncogene (3 papers)Clinical Cancer Research (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Patrick R. Hagner
49 papers receiving 908 citations
Peers
Comparison fields: 5 of 67
- Hematology 225
- Pathology and Forensic Medicine 157
- Oncology 231
- Molecular Biology 622
- Genetics 88
Countries citing papers authored by Patrick R. Hagner
This map shows the geographic impact of Patrick R. 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 R. 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 R. Hagner more than expected).
Fields of papers citing papers by Patrick R. Hagner
This network shows the impact of papers produced by Patrick R. 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 R. Hagner. The network helps show where Patrick R. Hagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick R. 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 158 | |
| 2 | 2008 | 98 | |
| 3 | 2010 | 74 | |
| 4 | 2018 | 74 | |
| 5 | 2013 | 53 | |
| 6 | 2011 | 51 | |
| 7 | 2010 | 42 | |
| 8 | 2017 | 39 | |
| 9 | 2008 | 37 | |
| 10 | 2019 | 37 | |
| 11 | 2011 | 34 | |
| 12 | 2009 | 23 | |
| 13 | 2020 | 19 | |
| 14 | 2006 | 19 | |
| 15 | 2009 | 18 | |
| 16 | 2008 | 16 | |
| 17 | 2014 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2020 | 8 |
About Patrick R. Hagner
Patrick R. Hagner is a scholar working on Molecular Biology, Oncology, Hematology, Pathology and Forensic Medicine and Genetics, having authored 54 papers that have together received 918 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (23 papers), Lymphoma Diagnosis and Treatment (19 papers), Multiple Myeloma Research and Treatments (18 papers), CAR-T cell therapy research (14 papers), Chronic Lymphocytic Leukemia Research (13 papers), Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Hematology (225 citations), Pathology and Forensic Medicine (157 citations), Oncology (231 citations), Molecular Biology (622 citations) and Genetics (88 citations). Patrick R. Hagner has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Ronald B. Gartenhaus, Krystyna Mazan-Mamczarz, Anita K. Gandhi, Abraham Schneider, Bojie Dai, Rajesh Chopra, Kevin G. Becker, Anjan Thakurta, Chad C. Bjorklund and William H. Wood. Their work appears in journals such as Blood, Cancer Research, Oncogene, Clinical Cancer Research and British Journal of Haematology.
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.