Patrick G. Schupp
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 3
- RNA regulation and disease 2
- RNA and protein synthesis mechanisms 2
- Genetics 3
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Daniel E. Bauer (7 shared papers)Falak Sher (6 shared papers)Yukio Nakamura (4 shared papers)Takahiro Maeda (4 shared papers)Matthew C. Canver (4 shared papers)Luca Pinello (3 shared papers)Ryo Kurita (4 shared papers)Sidinh Luc (3 shared papers)
- Journals
- Blood (2 papers)Nature Communications (1 paper)Scientific Reports (1 paper)Cancers (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Patrick G. Schupp
12 papers receiving 1.1k citations
Patrick G. Schupp's Hit Papers
Peers
Comparison fields: 5 of 83
- Business and International Management 44
- Genetics 189
- Neurology 117
- Aging 23
- Molecular Biology 746
Countries citing papers authored by Patrick G. Schupp
This map shows the geographic impact of Patrick G. Schupp'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 G. Schupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick G. Schupp more than expected).
Fields of papers citing papers by Patrick G. Schupp
This network shows the impact of papers produced by Patrick G. Schupp. 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 G. Schupp. The network helps show where Patrick G. Schupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick G. Schupp, 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 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis Hit paper breakdown → | 2015 | 621 |
| 2 | 2019 | 222 | |
| 3 | 2017 | 104 | |
| 4 | 2017 | 45 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 30 | |
| 7 | 2021 | 11 | |
| 8 | 2015 | 3 | |
| 9 | 2016 | 2 | |
| 10 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis | 2015 | 2 |
| 11 | 2024 | 2 | |
| 12 | 2022 | 1 |
About Patrick G. Schupp
Patrick G. Schupp is a scholar working on Molecular Biology, Genetics, Physiology, Infectious Diseases and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), RNA modifications and cancer (3 papers), RNA regulation and disease (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Erythrocyte Function and Pathophysiology (2 papers), RNA and protein synthesis mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Business and International Management (44 citations), Genetics (189 citations), Neurology (117 citations), Aging (23 citations) and Molecular Biology (746 citations). Patrick G. Schupp has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Daniel E. Bauer, Falak Sher, Yukio Nakamura, Takahiro Maeda, Matthew C. Canver, Luca Pinello, Ryo Kurita, Sidinh Luc, Feng Zhang and Guo‐Cheng Yuan. Their work appears in journals such as Blood, Nature Communications, Scientific Reports, Cancers and Nature Neuroscience.
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.