Jonathan Preall

13.8k total citations · 1 hit paper
19 papers, 2.2k citations indexed

About

Jonathan Preall is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jonathan Preall has authored 19 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Jonathan Preall's work include Pancreatic and Hepatic Oncology Research (6 papers), CRISPR and Genetic Engineering (5 papers) and Single-cell and spatial transcriptomics (4 papers). Jonathan Preall is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), CRISPR and Genetic Engineering (5 papers) and Single-cell and spatial transcriptomics (4 papers). Jonathan Preall collaborates with scholars based in United States, United Kingdom and South Korea. Jonathan Preall's co-authors include David A. Tuveson, B. Czech, Gregory J. Hannon, Giulia Biffi, Youngkyu Park, Hao Yuan, Tobiloba E. Oni, Benjamin Spielman, Ela Elyada and Jon McGinn and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan Preall

19 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma

2018 891 citations Giulia Biffi, Tobiloba E. Oni et al. Cancer Discovery profile →

Peers

Jonathan Preall

ONCOL

IMMUN

Nik Matthews United Kingdom

Lars Velten Germany

Yijie Gao China

Olivier Nolan-Stevaux United States

Robert Piskol United States

Georg Beckmann Germany

Jonathan W. Snow United States

Anthony Boureux France

Raúl Torres Spain

Ayako Suzuki Japan

Nik Matthews United Kingdom

Jonathan Preall

1.3k ×1.0

411 ×0.5

ONCOL

233 ×0.5

IMMUN

414 ×0.9

209 ×0.5

Citations per year, relative to Jonathan Preall Jonathan Preall (= 1×) peers Nik Matthews

Countries citing papers authored by Jonathan Preall

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Preall

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Preall. A scholar is included among the top collaborators of Jonathan Preall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Preall. Jonathan Preall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Tonelli, Claudia, Georgi N. Yordanov, Yuan Hao, et al.. (2024). A mucus production programme promotes classical pancreatic ductal adenocarcinoma. Gut. 73(6). 941–954. 14 indexed citations

Yao, Min, Jonathan Preall, Johannes T.‐H. Yeh, et al.. (2023). Plasma cells in human pancreatic ductal adenocarcinoma secrete antibodies against self-antigens. JCI Insight. 8(21). 6 indexed citations

Wu, Xiaoli, Xue‐Yan He, Jonathan J. Ipsaro, et al.. (2022). OCA-T1 and OCA-T2 are coactivators of POU2F3 in the tuft cell lineage. Nature. 607(7917). 169–175. 48 indexed citations

Caligiuri, Giuseppina, Sandeep Nadella, Brinda Alagesan, et al.. (2022). Abstract 3647: Oncogenic Kras drives cancer-associated fibroblast heterogeneity and substate changes in pancreatic cancer. Cancer Research. 82(12_Supplement). 3647–3647. 1 indexed citations

Preall, Jonathan, et al.. (2022). Practical Considerations for Single‐Cell Genomics. Current Protocols. 2(8). e498–e498. 9 indexed citations

Somerville, Tim D.D., Yali Xu, Xiaoli Wu, et al.. (2020). ZBED2 is an antagonist of interferon regulatory factor 1 and modifies cell identity in pancreatic cancer. Proceedings of the National Academy of Sciences. 117(21). 11471–11482. 38 indexed citations

Somerville, Tim D.D., Giulia Biffi, Juliane Daßler‐Plenker, et al.. (2020). Squamous trans-differentiation of pancreatic cancer cells promotes stromal inflammation. eLife. 9. 58 indexed citations

Kneuss, Emma, Marzia Munafò, Evelyn L. Eastwood, et al.. (2019). Specialization of the Drosophila nuclear export family protein Nxf3 for piRNA precursor export. Genes & Development. 33(17-18). 1208–1220. 42 indexed citations

Carter, Jason A., Jonathan Preall, & Gurinder S. Atwal. (2019). Bayesian Inference of Allelic Inclusion Rates in the Human T Cell Receptor Repertoire. Cell Systems. 9(5). 475–482.e4. 6 indexed citations

10.

Carter, Jason A., Jonathan Preall, Kristina Grigaityte, et al.. (2019). Single T Cell Sequencing Demonstrates the Functional Role of αβ TCR Pairing in Cell Lineage and Antigen Specificity. Frontiers in Immunology. 10. 1516–1516. 63 indexed citations

11.

Biffi, Giulia, Tobiloba E. Oni, Benjamin Spielman, et al.. (2018). IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma. Cancer Discovery. 9(2). 282–301. 891 indexed citations breakdown →

12.

Teixeira, Felipe Karam, B. Czech, Jonathan Preall, et al.. (2015). Regulation of Ribosome Biogenesis and Protein Synthesis Controls Germline Stem Cell Differentiation. Cell stem cell. 18(2). 276–290. 169 indexed citations

13.

Teixeira, Felipe Karam, Thomas R. Hurd, B. Czech, et al.. (2015). ATP synthase promotes germ cell differentiation independent of oxidative phosphorylation. Nature Cell Biology. 17(5). 689–696. 92 indexed citations

14.

Yu, Yang, Jiaqi Gu, Ying Jin, et al.. (2015). Panoramix enforces piRNA-dependent cotranscriptional silencing. Science. 350(6258). 339–342. 141 indexed citations

15.

Czech, B., Jonathan Preall, Jon McGinn, & Gregory J. Hannon. (2013). A Transcriptome-wide RNAi Screen in the Drosophila Ovary Reveals Factors of the Germline piRNA Pathway. Molecular Cell. 50(5). 749–761. 191 indexed citations

16.

Preall, Jonathan, B. Czech, Paloma M. Guzzardo, Felix Muerdter, & Gregory J. Hannon. (2012). shutdown is a component of the Drosophila piRNA biogenesis machinery. RNA. 18(8). 1446–1457. 67 indexed citations

17.

Preall, Jonathan, et al.. (2011). Blanks, a nuclear siRNA/dsRNA-binding complex component, is required for Drosophila spermiogenesis. Proceedings of the National Academy of Sciences. 108(8). 3204–3209. 24 indexed citations

18.

Lee, Young Sik, Sigal Pressman, Kevin Kim, et al.. (2009). Silencing by small RNAs is linked to endosomal trafficking. Nature Cell Biology. 11(9). 1150–1156. 276 indexed citations

19.

Preall, Jonathan, et al.. (2006). Short Interfering RNA Strand Selection Is Independent of dsRNA Processing Polarity during RNAi in Drosophila. Current Biology. 16(5). 530–535. 31 indexed citations

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.

Explore authors with similar magnitude of impact