Jonathan Preall
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 4
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 3
- Oncology 6
- Pancreatic and Hepatic Oncology Research 6
- Cancer Cells and Metastasis 3
- Co-authors
- David A. Tuveson (5 shared papers)Gregory J. Hannon (6 shared papers)Giulia Biffi (2 shared papers)B. Czech (6 shared papers)Youngkyu Park (3 shared papers)Hao Yuan (1 shared paper)Tobiloba E. Oni (1 shared paper)Benjamin Spielman (1 shared paper)
- Journals
- Nature Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Biology (1 paper)Frontiers in Immunology (1 paper)RNA (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Jonathan Preall
19 papers receiving 2.2k citations
Jonathan Preall's Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 468
- Oncology 845
- Aging 51
- Immunology 475
- Molecular Biology 1.4k
Countries citing papers authored by Jonathan Preall
This map shows the geographic impact of Jonathan Preall'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 Jonathan Preall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Preall more than expected).
Fields of papers citing papers by Jonathan Preall
This network shows the impact of papers produced by Jonathan Preall. 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 Jonathan Preall. The network helps show where Jonathan Preall may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Preall, 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 | IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2018 | 891 |
| 2 | 2009 | 276 | |
| 3 | 2013 | 191 | |
| 4 | 2015 | 169 | |
| 5 | 2015 | 141 | |
| 6 | 2015 | 92 | |
| 7 | 2012 | 67 | |
| 8 | 2019 | 63 | |
| 9 | 2020 | 58 | |
| 10 | 2022 | 48 | |
| 11 | 2019 | 42 | |
| 12 | 2020 | 38 | |
| 13 | 2006 | 31 | |
| 14 | 2011 | 24 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 1 |
About Jonathan Preall
Jonathan Preall is a scholar working on Molecular Biology, Oncology, Immunology, Plant Science and Cancer Research, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (4 papers), Chromosomal and Genetic Variations (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (468 citations), Oncology (845 citations), Aging (51 citations), Immunology (475 citations) and Molecular Biology (1.4k citations). Jonathan Preall has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include David A. Tuveson, Gregory J. Hannon, Giulia Biffi, B. Czech, Youngkyu Park, Hao Yuan, Tobiloba E. Oni, Benjamin Spielman, Ela Elyada and Jon McGinn. Their work appears in journals such as Nature Cell Biology, Proceedings of the National Academy of Sciences, Current Biology, Frontiers in Immunology and RNA.
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.