Joab Camarena
- Molecular Biology top 5%
- Genetics top 2%
- Oncology top 10%
- Genetics top 5%
- Business and International Management top 0.5%
- Co-authors
- Matthew H. PorteusDaniel P. DeverMara Pavel-DinuRasmus O. BakSruthi MantriKenneth I. WeinbergNatalia Gomez‐OspinaMark A. Behlke
- Topics
- CRISPR and Genetic Engineering (15 papers)Hemoglobinopathies and Related Disorders (6 papers)Mosquito-borne diseases and control (4 papers)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Joab Camarena
15 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Biology 2.1k
- Genetics 807
- Oncology 328
- Genetics 267
- Business and International Management 231
Countries citing papers authored by Joab Camarena
This map shows the geographic impact of Joab Camarena'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 Joab Camarena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joab Camarena more than expected).
Fields of papers citing papers by Joab Camarena
This network shows the impact of papers produced by Joab Camarena. 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 Joab Camarena. The network helps show where Joab Camarena may publish in the future.
Co-authorship network of co-authors of Joab Camarena
This figure shows the co-authorship network connecting the top 25 collaborators of Joab Camarena. A scholar is included among the top collaborators of Joab Camarena 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 Joab Camarena. Joab Camarena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 69 | |
| 4 | 21 | |
| 5 | 13 | |
| 6 | 61 | |
| 7 | Identification of preexisting adaptive immunity to Cas9 proteins in humansbreakdown → | 665 |
| 8 | 34 | |
| 9 | 110 | |
| 10 | A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cellsbreakdown → | 541 |
| 11 | 87 | |
| 12 | 76 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | CRISPR/Cas9 β-globin gene targeting in human haematopoietic stem cellsbreakdown → | 641 |
About Joab Camarena
Joab Camarena is a scholar working on Genetics, Molecular Biology and Pharmacy, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Hemoglobinopathies and Related Disorders (6 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Business and International Management (231 citations), Aging (109 citations) and Molecular Biology (2.1k citations). Joab Camarena has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Matthew H. Porteus, Daniel P. Dever, Mara Pavel-Dinu, Rasmus O. Bak, Sruthi Mantri, Kenneth I. Weinberg, Natalia Gomez‐Ospina, Mark A. Behlke, Christopher A. Vakulskas and Michael A. Collingwood. Their work appears in journals such as Nature, Nucleic Acids Research and Nature 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.