Matthew H. Porteus
- Molecular Biology top 0.2%
- Genetics top 0.2%
- Oncology top 2%
- Genetics top 0.5%
- Plant Science top 2%
- Co-authors
- Rasmus O. BakDavid BaltimoreDaniel P. DeverDana CarrollAlessandro BulfoneAyal HendelJoab CamarenaLuis Puelles
- Topics
- CRISPR and Genetic Engineering (107 papers)Virus-based gene therapy research (45 papers)RNA Interference and Gene Delivery (31 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Matthew H. Porteus
161 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 12.3k
- Genetics 4.4k
- Oncology 1.6k
- Genetics 1.0k
- Plant Science 891
Countries citing papers authored by Matthew H. Porteus
This map shows the geographic impact of Matthew H. Porteus'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 Matthew H. Porteus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew H. Porteus more than expected).
Fields of papers citing papers by Matthew H. Porteus
This network shows the impact of papers produced by Matthew H. Porteus. 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 Matthew H. Porteus. The network helps show where Matthew H. Porteus may publish in the future.
Co-authorship network of co-authors of Matthew H. Porteus
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew H. Porteus. A scholar is included among the top collaborators of Matthew H. Porteus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew H. Porteus. Matthew H. Porteus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 40 | |
| 5 | 30 | |
| 6 | 14 | |
| 7 | 34 | |
| 8 | 69 | |
| 9 | 8 | |
| 10 | 21 | |
| 11 | Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cellsbreakdown → | 276 |
| 12 | Identification of preexisting adaptive immunity to Cas9 proteins in humansbreakdown → | 665 |
| 13 | A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cellsbreakdown → | 541 |
| 14 | 145 | |
| 15 | 4 | |
| 16 | Activation of proto-oncogenes by disruption of chromosome neighborhoodsbreakdown → | 679 |
| 17 | 99 | |
| 18 | 4 | |
| 19 | 123 | |
| 20 | 191 |
About Matthew H. Porteus
Matthew H. Porteus is a scholar working on Business and International Management, Molecular Biology and Genetics, having authored 165 papers that have together received 14.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (107 papers), Virus-based gene therapy research (45 papers) and RNA Interference and Gene Delivery (31 papers). The work is most often cited by research in Business and International Management (692 citations), Aging (349 citations) and Molecular Biology (12.3k citations). Matthew H. Porteus has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Rasmus O. Bak, David Baltimore, Daniel P. Dever, Dana Carroll, Alessandro Bulfone, Ayal Hendel, Joab Camarena, Luis Puelles, Michael C. Holmes and Jeffrey C. Miller. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.