CAR T Cells Produced in vivo to Treat Cardiac Injury
Impact in
- Oncology 273
Classified as
- Journal
- HAL (Le Centre pour la Communication Scientifique Directe)
In The Last Decade
doi.org/w37985156 →Countries where authors are citing CAR T Cells Produced in vivo to Treat Cardiac Injury
This map shows the geographic impact of CAR T Cells Produced in vivo to Treat Cardiac Injury. 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 CAR T Cells Produced in vivo to Treat Cardiac Injury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CAR T Cells Produced in vivo to Treat Cardiac Injury more than expected).
Fields of papers citing CAR T Cells Produced in vivo to Treat Cardiac Injury
This network shows the impact of CAR T Cells Produced in vivo to Treat Cardiac Injury. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CAR T Cells Produced in vivo to Treat Cardiac Injury.
About CAR T Cells Produced in vivo to Treat Cardiac Injury
This paper, published in 2023, received 655 indexed citations . Written by Joel G. Rurik, István Tombácz, Amir Yadegari, Swapnil V. Shewale, Tōru Kimura, Ousamah Younoss Soliman, Tyler E. Papp, Ying K. Tam, Barbara L. Mui and Steven Μ. Albelda covering the research area of Oncology and Electrical and Electronic Engineering. It is primarily cited by scholars working on Molecular Biology (369 citations), Oncology (273 citations), Immunology (132 citations), Genetics (127 citations) and Biomedical Engineering (121 citations). Published in HAL (Le Centre pour la Communication Scientifique Directe).
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.
This paper is also available at doi.org/w37985156.