Jason Hilton

5.8k total citations · 2 hit papers
176 papers, 4.5k citations indexed

About

Jason Hilton is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology and Molecular Biology. According to data from OpenAlex, Jason Hilton has authored 176 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Ecology, Evolution, Behavior and Systematics, 90 papers in Paleontology and 73 papers in Molecular Biology. Recurrent topics in Jason Hilton's work include Plant Diversity and Evolution (108 papers), Paleontology and Stratigraphy of Fossils (84 papers) and Plant and Fungal Species Descriptions (69 papers). Jason Hilton is often cited by papers focused on Plant Diversity and Evolution (108 papers), Paleontology and Stratigraphy of Fossils (84 papers) and Plant and Fungal Species Descriptions (69 papers). Jason Hilton collaborates with scholars based in United Kingdom, China and United States. Jason Hilton's co-authors include Richard M. Bateman, Paul M. Barrett, Zhonghe Zhou, Shi‐Jun Wang, Longyi Shao, Jean Galtier, Christopher J. Cleal, Ben J. Slater, Stephen McLoughlin and Paula J. Rudall and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jason Hilton

162 papers receiving 4.4k citations

Hit Papers

An exceptionally preserved Lower Cretaceous ecosystem 2003 2026 2010 2018 2003 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Hilton United Kingdom 34 2.5k 2.1k 1.5k 850 570 176 4.5k
Stephen McLoughlin Sweden 45 3.5k 1.4× 2.8k 1.3× 1.3k 0.9× 1.5k 1.7× 725 1.3× 177 5.8k
Dieter Uhl Germany 30 1.4k 0.6× 1.1k 0.5× 540 0.4× 1.4k 1.7× 470 0.8× 177 3.6k
Christopher J. Cleal United Kingdom 36 2.2k 0.9× 1.7k 0.8× 657 0.4× 1.6k 1.9× 761 1.3× 180 4.1k
Johanna H.A. van Konijnenburg‐van Cittert Netherlands 30 2.1k 0.8× 1.6k 0.8× 1.0k 0.7× 758 0.9× 437 0.8× 130 3.2k
Torsten Utescher Germany 41 2.1k 0.8× 2.2k 1.1× 646 0.4× 3.6k 4.2× 766 1.3× 112 5.3k
Vivi Vajda Sweden 34 1.2k 0.5× 2.5k 1.2× 402 0.3× 1.4k 1.7× 223 0.4× 145 3.6k
Cindy V. Looy United States 30 1.1k 0.4× 2.4k 1.2× 327 0.2× 1.3k 1.5× 235 0.4× 67 3.4k
Dianne Edwards United Kingdom 40 3.0k 1.2× 1.8k 0.9× 1.5k 1.0× 1.3k 1.5× 1.6k 2.9× 116 4.9k
Howard J. Falcon‐Lang United Kingdom 44 2.1k 0.8× 1.8k 0.9× 648 0.4× 2.3k 2.7× 468 0.8× 125 4.4k
Volker Wilde Germany 29 1.3k 0.5× 696 0.3× 799 0.5× 776 0.9× 528 0.9× 116 2.8k

Countries citing papers authored by Jason Hilton

Since Specialization
Citations

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

Fields of papers citing papers by Jason Hilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Hilton

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Hilton. A scholar is included among the top collaborators of Jason Hilton 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 Jason Hilton. Jason Hilton 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
1.
Smith, Peter, et al.. (2025). A mathematical framework for time-variant multi-state kinship modelling. Theoretical Population Biology. 163. 1–12.
2.
Yu, Jianxin, Hongfu Yin, Andrew Merdith, et al.. (2025). Early Triassic super-greenhouse climate driven by vegetation collapse. Nature Communications. 16(1). 5400–5400. 1 indexed citations
3.
Zhang, Peixin, Minfang Yang, Jacopo Dal Corso, et al.. (2025). Repeated pulses of volcanism drove the Late Triassic Carnian Pluvial episode. Global and Planetary Change. 255. 105112–105112. 1 indexed citations
4.
Yang, Minfang, Xiao-Xuan Wu, Wanqing Wang, et al.. (2025). Pliensbachian (Early Jurassic) deep-time peatland evolution in Northwest China driven by climate change. International Journal of Coal Geology. 310. 104871–104871. 1 indexed citations
5.
Yang, Minfang, Jing Lu, Xiao Hu, et al.. (2025). Onset of large-scale terrestrial organic carbon burial driven by Early Devonian changes in vascular plants and environments. Palaeogeography Palaeoclimatology Palaeoecology. 674. 113039–113039. 1 indexed citations
7.
Lu, Jing, Minfang Yang, Kai Zhou, et al.. (2025). Two episodes of Gzhelian (latest Carboniferous) volcanism immediately predate Asselian (early Permian) cooling and glaciation. Global and Planetary Change. 256. 105129–105129.
8.
Shao, Longyi, Timothy Peter Jones, Yangyang Huang, et al.. (2024). Mechanisms of inertinite enrichment in Jurassic coals: Insights from a Big Data-driven review. Earth-Science Reviews. 257. 104889–104889. 5 indexed citations
9.
Zhang, Peixin, Minfang Yang, Jing Lu, et al.. (2024). Terrestrial mercury anomalies across the Permian-Triassic transition in North China linked to volcanism. Chemical Geology. 673. 122555–122555. 3 indexed citations
10.
Zhou, Weiming, et al.. (2024). Scolecopteris oxydonta sp. nov., a new marattialean fern from the early Permian Wuda Tuff Flora. Review of Palaeobotany and Palynology. 332. 105231–105231.
11.
Zhou, Kai, Shuo Zhang, Minfang Yang, et al.. (2023). Palaeoclimatic influence on lake palaeoenvironment and organic matter accumulation in the Middle Jurassic Shimengou formation (Qaidam basin, NW China). Geoenergy Science and Engineering. 233. 212581–212581. 3 indexed citations
12.
Li, Dandan, et al.. (2023). A pioneering riparian community dominated by Nystroemiaceae gymnosperms from the Guadalupian (middle Permian) of China. Review of Palaeobotany and Palynology. 316. 104918–104918. 1 indexed citations
13.
Zhang, Peixin, Minfang Yang, Jing Lu, et al.. (2023). Floral response to the Late Triassic Carnian Pluvial Episode. Frontiers in Ecology and Evolution. 11. 7 indexed citations
16.
Hilton, Jason, et al.. (2013). Reforging the Wedding Ring: Exploring a Semi-Artificial Model of Population for the United Kingdom with Gaussian process emulators. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Rudall, Paula J., Jason Hilton, & Richard M. Bateman. (2013). Several developmental and morphogenetic factors govern the evolution of stomatal patterning in land plants. New Phytologist. 200(3). 598–614. 78 indexed citations
18.
Spencer, Alan R.T., et al.. (2012). 570 Tomography old and new : comparison of 3D reconstruction techniques for fossil plants. 58. 257. 1 indexed citations
19.
McLoughlin, Stephen, Ben J. Slater, Jason Hilton, & Rose Prevec. (2011). New vistas on animal-plant-fungal interactions in the Permian-Triassic of Gondwana. University of Birmingham Research Portal (University of Birmingham). 133. 66–67. 3 indexed citations
20.
Hilton, Jason. (1998). Review of the Fossil Evidence for the Origin and Earliest Evolution of the Seed-plants. Journal of Integrative Plant Biology. 40(11). 10 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.

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