Peter Kurre
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Extracellular vesicles in disease 20
- RNA Interference and Gene Delivery 17
- CRISPR and Genetic Engineering 10
- DNA Repair Mechanisms 8
- Hematology 21
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Natalya A. Goloviznina (12 shared papers)Noah I. Hornick (6 shared papers)Jianya Huan (7 shared papers)Amy M. Skinner (10 shared papers)Charles T. Roberts (4 shared papers)Ben Doron (5 shared papers)Sherif Abdelhamed (7 shared papers)John T. Butler (7 shared papers)
- Journals
- Blood (16 papers)Experimental Hematology (4 papers)Leukemia (4 papers)Blood Advances (3 papers)Gene Therapy (3 papers)
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Peter Kurre
74 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 552
- Hematology 357
- Molecular Biology 1.3k
- Immunology 376
- Genetics 156
Countries citing papers authored by Peter Kurre
This map shows the geographic impact of Peter Kurre'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 Kurre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kurre more than expected).
Fields of papers citing papers by Peter Kurre
This network shows the impact of papers produced by Peter Kurre. 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 Kurre. The network helps show where Peter Kurre may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kurre, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 219 | |
| 2 | 2015 | 213 | |
| 3 | 2016 | 126 | |
| 4 | 2015 | 99 | |
| 5 | 2018 | 75 | |
| 6 | 2016 | 60 | |
| 7 | 2014 | 58 | |
| 8 | 1999 | 57 | |
| 9 | 2001 | 56 | |
| 10 | 2002 | 49 | |
| 11 | 2018 | 49 | |
| 12 | 2020 | 46 | |
| 13 | 2020 | 46 | |
| 14 | 2013 | 45 | |
| 15 | 2019 | 43 | |
| 16 | 2005 | 35 | |
| 17 | 2014 | 30 | |
| 18 | 2007 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2006 | 27 |
About Peter Kurre
Peter Kurre is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Cancer Research, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (20 papers), Virus-based gene therapy research (18 papers), RNA Interference and Gene Delivery (17 papers), Hematopoietic Stem Cell Transplantation (15 papers), Immune cells in cancer (11 papers), CRISPR and Genetic Engineering (10 papers), MicroRNA in disease regulation (9 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Cancer Research (552 citations), Hematology (357 citations), Molecular Biology (1.3k citations), Immunology (376 citations) and Genetics (156 citations). Peter Kurre has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Natalya A. Goloviznina, Noah I. Hornick, Jianya Huan, Amy M. Skinner, Charles T. Roberts, Ben Doron, Sherif Abdelhamed, John T. Butler, Bill H. Chang and Hans‐Peter Kiem. Their work appears in journals such as Blood, Experimental Hematology, Leukemia, Blood Advances and Gene Therapy.
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.