Peter Breslin
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Cancer-related molecular mechanisms research
Papers in
-
- Cell death mechanisms and regulation 7
- Hematology 17
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 7
- Co-authors
- Jiwang Zhang (21 shared papers)Wei Qiu (8 shared papers)Andrew Volk (8 shared papers)Stephan W. Morris (2 shared papers)Chao Niu (2 shared papers)Manuel O. Dı́az (2 shared papers)Minghui Tang (2 shared papers)Shubin Zhang (2 shared papers)
- Journals
- Blood (7 papers)Cell Death and Disease (2 papers)The Journal of Experimental Medicine (2 papers)Chinese Journal of Natural Medicines (1 paper)Molecular Oncology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Peter Breslin
31 papers receiving 731 citations
Peers
Comparison fields: 5 of 84
- Hematology 186
- Cancer Research 184
- Immunology 176
- Genetics 72
- Molecular Biology 424
Countries citing papers authored by Peter Breslin
This map shows the geographic impact of Peter Breslin'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 Peter Breslin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Breslin more than expected).
Fields of papers citing papers by Peter Breslin
This network shows the impact of papers produced by Peter Breslin. 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 Peter Breslin. The network helps show where Peter Breslin may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Breslin, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 99 | |
| 2 | 2014 | 74 | |
| 3 | 2009 | 63 | |
| 4 | 2009 | 59 | |
| 5 | 2015 | 41 | |
| 6 | 2019 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2020 | 38 | |
| 9 | 2011 | 35 | |
| 10 | 2018 | 33 | |
| 11 | 2020 | 29 | |
| 12 | 2016 | 29 | |
| 13 | 2018 | 18 | |
| 14 | 2011 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2016 | 10 | |
| 20 | 1984 | 10 |
About Peter Breslin
Peter Breslin is a scholar working on Molecular Biology, Hematology, Immunology, Cancer Research and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 737 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (7 papers), Cell death mechanisms and regulation (7 papers), NF-κB Signaling Pathways (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Hematology (186 citations), Cancer Research (184 citations), Immunology (176 citations), Genetics (72 citations) and Molecular Biology (424 citations). Peter Breslin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jiwang Zhang, Wei Qiu, Andrew Volk, Stephan W. Morris, Chao Niu, Manuel O. Dı́az, Minghui Tang, Shubin Zhang, Xianzhong Ding and Scott J. Cotler. Their work appears in journals such as Blood, Cell Death and Disease, The Journal of Experimental Medicine, Chinese Journal of Natural Medicines and Molecular Oncology.
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.