Patrick Connerty
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 7
-
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Richard B. Lock (5 shared papers)György Hutvágner (2 shared papers)Alireza Ahadi (1 shared paper)Charles Edo de Bock (2 shared papers)Toby N. Trahair (4 shared papers)Maria Kavallaris (2 shared papers)Andrew J. Woo (3 shared papers)Jenny Yingzi Wang (3 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Leukemia (2 papers)Science Translational Medicine (1 paper)Pharmaceutics (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Patrick Connerty
13 papers receiving 412 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 137
- Hematology 92
- Biomaterials 32
- Molecular Biology 140
- Genetics 8
Countries citing papers authored by Patrick Connerty
This map shows the geographic impact of Patrick Connerty'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 Connerty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Connerty more than expected).
Fields of papers citing papers by Patrick Connerty
This network shows the impact of papers produced by Patrick Connerty. 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 Connerty. The network helps show where Patrick Connerty may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Connerty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2015 | 69 | |
| 3 | 2020 | 46 | |
| 4 | 2021 | 46 | |
| 5 | 2019 | 38 | |
| 6 | 2023 | 33 | |
| 7 | 2022 | 32 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 7 | |
| 13 | 2025 | 1 |
About Patrick Connerty
Patrick Connerty is a scholar working on Hematology, Cancer Research, Biomaterials, Molecular Biology and Nuclear Energy and Engineering, having authored 13 papers that have together received 414 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Interference and Gene Delivery (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Protein Tyrosine Phosphatases (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Cancer Research (137 citations), Hematology (92 citations), Biomaterials (32 citations), Molecular Biology (140 citations) and Genetics (8 citations). Patrick Connerty has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Richard B. Lock, György Hutvágner, Alireza Ahadi, Charles Edo de Bock, Toby N. Trahair, Maria Kavallaris, Andrew J. Woo, Jenny Yingzi Wang, Michelle Haber and Murray D. Norris. Their work appears in journals such as Frontiers in Oncology, Leukemia, Science Translational Medicine, Pharmaceutics and Nature Communications.
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.