George S. Laszlo
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 22
- CAR-T cell therapy research 11
- Cytokine Signaling Pathways and Interactions 6
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- CRISPR and Genetic Engineering 4
- Co-authors
- Roland B. Walter (26 shared papers)Elihu H. Estey (1 shared paper)Kimberly H. Harrington (9 shared papers)Chelsea J. Gudgeon (9 shared papers)Jonathan A. Cooper (2 shared papers)Angus M. Sinclair (3 shared papers)Stanley R. Frankel (3 shared papers)Kathryn J. Newhall (3 shared papers)
- Journals
- Blood (8 papers)Leukemia (4 papers)PLoS ONE (2 papers)Journal of Neurochemistry (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSouth AfricaSwitzerland
In The Last Decade
George S. Laszlo
34 papers receiving 831 citations
Peers
Comparison fields: 5 of 57
- Hematology 215
- Oncology 384
- Immunology 196
- Molecular Biology 400
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by George S. Laszlo
This map shows the geographic impact of George S. Laszlo'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 George S. Laszlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George S. Laszlo more than expected).
Fields of papers citing papers by George S. Laszlo
This network shows the impact of papers produced by George S. Laszlo. 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 George S. Laszlo. The network helps show where George S. Laszlo may publish in the future.
Co-authors
The 25 scholars most cited alongside George S. Laszlo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 151 | |
| 2 | 2013 | 139 | |
| 3 | 2002 | 93 | |
| 4 | 2018 | 54 | |
| 5 | 2015 | 49 | |
| 6 | 2009 | 46 | |
| 7 | 2013 | 42 | |
| 8 | 2016 | 42 | |
| 9 | 2015 | 41 | |
| 10 | 2013 | 24 | |
| 11 | 2003 | 22 | |
| 12 | 2015 | 21 | |
| 13 | 2022 | 17 | |
| 14 | 2014 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2005 | 14 | |
| 17 | 2013 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2017 | 6 |
About George S. Laszlo
George S. Laszlo is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 838 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Acute Myeloid Leukemia Research (10 papers), Immune Cell Function and Interaction (8 papers), Cytokine Signaling Pathways and Interactions (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), CRISPR and Genetic Engineering (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Hematology (215 citations), Oncology (384 citations), Immunology (196 citations), Molecular Biology (400 citations) and Radiology, Nuclear Medicine and Imaging (92 citations). George S. Laszlo has collaborated with scholars based in United States, South Africa and Switzerland. Frequent co-authors include Roland B. Walter, Elihu H. Estey, Kimberly H. Harrington, Chelsea J. Gudgeon, Jonathan A. Cooper, Angus M. Sinclair, Stanley R. Frankel, Kathryn J. Newhall, Roman Kischel and Neil M. Nathanson. Their work appears in journals such as Blood, Leukemia, PLoS ONE, Journal of Neurochemistry and Journal of Biological Chemistry.
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.