Jonathan Warrell

26.0k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Jonathan Warrell is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jonathan Warrell has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Jonathan Warrell's work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (9 papers) and Medical Image Segmentation Techniques (4 papers). Jonathan Warrell is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (9 papers) and Medical Image Segmentation Techniques (4 papers). Jonathan Warrell collaborates with scholars based in United Kingdom, United States and Australia. Jonathan Warrell's co-authors include Simon J. D. Prince, Vibhav Vineet, Alastair Moore, Shuai Zheng, Ming‐Ming Cheng, Nigel Crook, Wen-Yan Lin, Graham Jones, James H. Elder and Fatima M. Felisberti and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Jonathan Warrell

35 papers receiving 1.6k citations

Hit Papers

Efficient Salient Region Detection with Soft Image Abstra... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Warrell United Kingdom 18 1.1k 200 180 178 165 37 1.6k
Yiqun Hu China 23 938 0.8× 280 1.4× 96 0.5× 99 0.6× 119 0.7× 110 1.8k
Nianyi Li United States 14 615 0.5× 62 0.3× 33 0.2× 112 0.6× 97 0.6× 35 939
Martin Urschler Austria 22 890 0.8× 85 0.4× 19 0.1× 102 0.6× 35 0.2× 87 2.4k
Lixiong Liu China 19 1.2k 1.0× 109 0.5× 22 0.1× 705 4.0× 13 0.1× 76 1.7k
Yuchen Yuan China 12 370 0.3× 192 1.0× 80 0.4× 92 0.5× 43 0.3× 19 675
Pei Chen China 15 194 0.2× 196 1.0× 64 0.4× 29 0.2× 7 0.0× 79 854
Meng Yang China 16 253 0.2× 225 1.1× 185 1.0× 97 0.5× 4 0.0× 48 1.1k
Yuchao Gu China 15 332 0.3× 611 3.1× 247 1.4× 67 0.4× 32 0.2× 26 1.2k
Shunji Mori Japan 15 1.4k 1.2× 209 1.0× 15 0.1× 292 1.6× 7 0.0× 102 2.4k
Zichuan Liu China 18 406 0.4× 689 3.4× 54 0.3× 141 0.8× 6 0.0× 51 1.3k

Countries citing papers authored by Jonathan Warrell

Since Specialization
Citations

This map shows the geographic impact of Jonathan Warrell'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 Warrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Warrell more than expected).

Fields of papers citing papers by Jonathan Warrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Warrell. 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 Warrell. The network helps show where Jonathan Warrell may publish in the future.

Co-authorship network of co-authors of Jonathan Warrell

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Warrell. A scholar is included among the top collaborators of Jonathan Warrell 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 Warrell. Jonathan Warrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wang, Gaoyuan, Jonathan Warrell, Prashant S. Emani, & Mark Gerstein. (2025). Quantum variational autoencoder utilizing regularized mixed-state latent representations. Physical review. A. 111(4). 3 indexed citations
3.
Aung, Thazin Nwe, James Monkman, Jonathan Warrell, et al.. (2025). Spatial signatures for predicting immunotherapy outcomes using multi-omics in non-small cell lung cancer. Nature Genetics. 57(10). 2482–2493. 3 indexed citations
4.
Aung, Thazin Nwe, Jonathan Warrell, Sandra Martínez-Morilla, et al.. (2024). Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma. Clinical Cancer Research. 30(16). 3520–3532. 6 indexed citations
5.
Wang, Gaoyuan, et al.. (2024). Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs. Bioinformatics. 40(Supplement_2). ii111–ii119.
6.
Warrell, Jonathan, et al.. (2024). Latent evolutionary signatures: a general framework for analysing music and cultural evolution. Journal of The Royal Society Interface. 21(212). 2 indexed citations
7.
Lau, Bayo, Prashant S. Emani, Lijing Yao, et al.. (2022). Insights from incorporating quantum computing into drug design workflows. Bioinformatics. 39(1). 25 indexed citations
8.
Savulescu, Anca F., Benjamin Dartigues, Jonathan Warrell, et al.. (2021). Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH. Cell Reports Methods. 1(5). 100068–100068. 20 indexed citations
9.
Aung, Thazin Nwe, Balázs Ács, Jonathan Warrell, et al.. (2021). A new tool for technical standardization of the Ki67 immunohistochemical assay. Modern Pathology. 34(7). 1261–1270. 34 indexed citations
10.
Kumar, Sushant, Jonathan Warrell, Patrick D. McGillivray, et al.. (2020). Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences. Cell. 180(5). 915–927.e16. 94 indexed citations
11.
Warrell, Jonathan & Mark Gerstein. (2020). Cyclic and multilevel causation in evolutionary processes. Biology & Philosophy. 35(5). 2 indexed citations
12.
Salichos, Leonidas, Matthew Meyerson, Jonathan Warrell, & Mark Gerstein. (2020). Estimating growth patterns and driver effects in tumor evolution from individual samples. Nature Communications. 11(1). 732–732. 17 indexed citations
13.
Rozowsky, Joel, Robert R. Kitchen, Jonathan J. Park, et al.. (2019). exceRpt: A Comprehensive Analytic Platform for Extracellular RNA Profiling. Cell Systems. 8(4). 352–357.e3. 105 indexed citations
14.
Manning, Laurens, Moses Laman, Anna Rosanas‐Urgell, et al.. (2012). Rapid Antigen Detection Tests for Malaria Diagnosis in Severely Ill Papua New Guinean Children: A Comparative Study Using Bayesian Latent Class Models. PLoS ONE. 7(11). e48701–e48701. 16 indexed citations
15.
Manning, Laurens, Moses Laman, Irwin Law, et al.. (2011). Features and Prognosis of Severe Malaria Caused by Plasmodium falciparum, Plasmodium vivax and Mixed Plasmodium Species in Papua New Guinean Children. PLoS ONE. 6(12). e29203–e29203. 71 indexed citations
16.
Li, Peng, et al.. (2010). Context-based additive logistic model for facial keypoint localization. 28.1–28.11. 3 indexed citations
17.
Warrell, Jonathan, Simon J. D. Prince, & Alastair Moore. (2009). Epitomized priors for multi-labeling problems. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1. 2812–2819. 2 indexed citations
18.
Warrell, Jonathan, et al.. (2009). Patch-based within-object classification. 1125–1132. 24 indexed citations
19.
Prince, Simon J. D., Jonathan Warrell, James H. Elder, & Fatima M. Felisberti. (2008). Tied Factor Analysis for Face Recognition across Large Pose Differences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(6). 970–984. 137 indexed citations
20.
Moore, Alastair, et al.. (2008). Superpixel lattices. 1–8. 290 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

Rankless by CCL
2026