John Scholler
- Oncology top 0.2%
- CAR-T cell therapy research 49
- Immunology top 0.5%
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 9
- Genetics top 1%
- Virus-based gene therapy research 14
- Biomedical Engineering top 1%
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 10
- CRISPR and Genetic Engineering 9
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- Trypanosoma species research and implications 8
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- Research on Leishmaniasis Studies 7
- Co-authors
- Carl H. JuneBrian KeithSònia GuedanAvery D. PoseySteven Μ. AlbeldaShannon E. McGettiganMichael C. MiloneYangbing Zhao
- Cited by
- OncologyImmunologyGenetics
- Journals
- Blood (13 papers)Molecular and Biochemical Parasitology (7 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesFinlandSlovakia
In The Last Decade
John Scholler
63 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 5.5k
- Immunology 2.6k
- Genetics 1.7k
- Biomedical Engineering 1.7k
- Molecular Biology 2.3k
Countries citing papers authored by John Scholler
This map shows the geographic impact of John Scholler'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 John Scholler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Scholler more than expected).
Fields of papers citing papers by John Scholler
This network shows the impact of papers produced by John Scholler. 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 John Scholler. The network helps show where John Scholler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Scholler, 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 | 2025 | 1 | |
| 2 | 2024 | 24 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 19 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 34 | |
| 7 | 2021 | 73 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 72 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 212 | |
| 12 | 2018 | 215 | |
| 13 | 2015 | 233 | |
| 14 | 2014 | 344 | |
| 15 | 2014 | 363 | |
| 16 | Targeting Fibroblast Activation Protein in Tumor Stroma with Chimeric Antigen Receptor T Cells Can Inhibit Tumor Growth and Augment Host Immunity without Severe Toxicitybreakdown → | 2013 | 515 |
| 17 | 2010 | 366 | |
| 18 | 2009 | 40 | |
| 19 | 1998 | 131 | |
| 20 | 1997 | 16 |
About John Scholler
John Scholler is a scholar working on Oncology, Immunology, Genetics, Immunology and Allergy and Molecular Biology, having authored 68 papers that have together received 7.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (49 papers), Virus-based gene therapy research (14 papers), Immune Cell Function and Interaction (13 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), CRISPR and Genetic Engineering (9 papers), T-cell and B-cell Immunology (9 papers), Trypanosoma species research and implications (8 papers) and Research on Leishmaniasis Studies (7 papers). The work is most often cited by research in Oncology (5.5k citations), Immunology (2.6k citations), Genetics (1.7k citations), Biomedical Engineering (1.7k citations) and Molecular Biology (2.3k citations). John Scholler has collaborated with scholars based in United States, Finland and Slovakia. Frequent co-authors include Carl H. June, Brian Keith, Sònia Guedan, Avery D. Posey, Steven Μ. Albelda, Shannon E. McGettigan, Michael C. Milone, Yangbing Zhao, Omkar U. Kawalekar and Prachi Patel. Their work appears in journals such as Blood, Molecular and Biochemical Parasitology, Proceedings of the National Academy of Sciences, Cancer Immunology Research and 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.