Mara Pavel-Dinu
- Molecular Biology top 5%
- Genetics top 2%
- Oncology top 10%
- Business and International Management top 1%
- Genetics top 5%
- Co-authors
- Matthew H. PorteusDaniel P. DeverJoab CamarenaKenneth I. WeinbergSruthi MantriRasmus O. BakNatalia Gomez‐OspinaChristopher A. Vakulskas
- Topics
- CRISPR and Genetic Engineering (11 papers)CAR-T cell therapy research (9 papers)Virus-based gene therapy research (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mara Pavel-Dinu
15 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Biology 1.9k
- Genetics 766
- Oncology 362
- Business and International Management 214
- Genetics 166
Countries citing papers authored by Mara Pavel-Dinu
This map shows the geographic impact of Mara Pavel-Dinu'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 Mara Pavel-Dinu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Pavel-Dinu more than expected).
Fields of papers citing papers by Mara Pavel-Dinu
This network shows the impact of papers produced by Mara Pavel-Dinu. 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 Mara Pavel-Dinu. The network helps show where Mara Pavel-Dinu may publish in the future.
Co-authorship network of co-authors of Mara Pavel-Dinu
This figure shows the co-authorship network connecting the top 25 collaborators of Mara Pavel-Dinu. A scholar is included among the top collaborators of Mara Pavel-Dinu 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 Mara Pavel-Dinu. Mara Pavel-Dinu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 40 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 34 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | Identification of preexisting adaptive immunity to Cas9 proteins in humansbreakdown → | 665 |
| 13 | 25 | |
| 14 | 135 | |
| 15 | A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cellsbreakdown → | 541 |
| 16 | CRISPR/Cas9 β-globin gene targeting in human haematopoietic stem cellsbreakdown → | 641 |
About Mara Pavel-Dinu
Mara Pavel-Dinu is a scholar working on Hematology, Oncology and Genetics, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), CAR-T cell therapy research (9 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Business and International Management (214 citations), Aging (108 citations) and Molecular Biology (1.9k citations). Mara Pavel-Dinu has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthew H. Porteus, Daniel P. Dever, Joab Camarena, Kenneth I. Weinberg, Sruthi Mantri, Rasmus O. Bak, Natalia Gomez‐Ospina, Christopher A. Vakulskas, Michael A. Collingwood and Nicole M. Bode. Their work appears in journals such as Nature, Nature Medicine 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.