Paula L. Kosasih
- Oncology top 1%
- CAR-T cell therapy research 11
- Immunology top 5%
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Biosimilars and Bioanalytical Methods 1
- Genetics top 5%
- Virus-based gene therapy research 3
- Biomedical Engineering top 5%
- Nanowire Synthesis and Applications 4
- Nanofabrication and Lithography Techniques 1
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Stanley R. RiddellDaniel SommermeyerMichael HudecekChristoph RaderMichael C. JensenCameron J. TurtleDavid G. MaloneyTea Gogishvili
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Paula L. Kosasih
9 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Oncology 1.7k
- Immunology 594
- Genetics 491
- Biomedical Engineering 671
- Molecular Biology 692
Countries citing papers authored by Paula L. Kosasih
This map shows the geographic impact of Paula L. Kosasih'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 Paula L. Kosasih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula L. Kosasih more than expected).
Fields of papers citing papers by Paula L. Kosasih
This network shows the impact of papers produced by Paula L. Kosasih. 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 Paula L. Kosasih. The network helps show where Paula L. Kosasih may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paula L. Kosasih, 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 | 2019 | 48 | |
| 2 | 2016 | 151 | |
| 3 | 2016 | 54 | |
| 4 | Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivobreakdown → | 2015 | 639 |
| 5 | 2014 | 139 | |
| 6 | The Nonsignaling Extracellular Spacer Domain of Chimeric Antigen Receptors Is Decisive for In Vivo Antitumor Activitybreakdown → | 2014 | 406 |
| 7 | 2014 | 1 | |
| 8 | 2013 | 424 | |
| 9 | 2012 | 2 | |
| 10 | 2011 | 0 | |
| 11 | 2011 | 0 |
About Paula L. Kosasih
Paula L. Kosasih is a scholar working on Oncology, Immunology and Genetics, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Nanowire Synthesis and Applications (4 papers), Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Nanofabrication and Lithography Techniques (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Oncology (1.7k citations), Immunology (594 citations) and Genetics (491 citations). Paula L. Kosasih has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Stanley R. Riddell, Daniel Sommermeyer, Michael Hudecek, Christoph Rader, Michael C. Jensen, Cameron J. Turtle, David G. Maloney, Tea Gogishvili, Maria Teresa Lupo Stanghellini and Lingfeng Liu. Their work appears in journals such as Blood, Nature Biotechnology and Clinical Cancer Research.
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.