Xu Dai

932 total citations
34 papers, 596 citations indexed

About

Xu Dai is a scholar working on Paleontology, Geophysics and Oceanography. According to data from OpenAlex, Xu Dai has authored 34 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Paleontology, 11 papers in Geophysics and 8 papers in Oceanography. Recurrent topics in Xu Dai's work include Paleontology and Stratigraphy of Fossils (33 papers), Paleontology and Evolutionary Biology (14 papers) and Geological and Geochemical Analysis (11 papers). Xu Dai is often cited by papers focused on Paleontology and Stratigraphy of Fossils (33 papers), Paleontology and Evolutionary Biology (14 papers) and Geological and Geochemical Analysis (11 papers). Xu Dai collaborates with scholars based in China, France and United Kingdom. Xu Dai's co-authors include Haijun Song, Paul B. Wignall, Huyue Song, Daoliang Chu, Mingtao Li, Li Tian, David B. Kemp, Feng‐Yu Wang, A.D. Woods and Shan Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Xu Dai

31 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Dai China 14 469 171 156 127 100 34 596
Toshifumi Komatsu Japan 14 502 1.1× 220 1.3× 192 1.2× 82 0.6× 144 1.4× 82 667
Fernanda Quaglio Brazil 14 477 1.0× 196 1.1× 158 1.0× 107 0.8× 133 1.3× 27 630
Marina B. Suarez United States 16 427 0.9× 254 1.5× 129 0.8× 155 1.2× 38 0.4× 50 641
Petr Skupien Czechia 14 380 0.8× 205 1.2× 254 1.6× 62 0.5× 86 0.9× 72 549
Gerd Dietl Germany 11 436 0.9× 186 1.1× 95 0.6× 74 0.6× 84 0.8× 48 574
Christian Linnert Germany 14 561 1.2× 388 2.3× 123 0.8× 106 0.8× 139 1.4× 22 675
Dávid Bajnai Germany 12 362 0.8× 316 1.8× 120 0.8× 117 0.9× 66 0.7× 22 563
Baptiste Suchéras-Marx France 15 623 1.3× 344 2.0× 243 1.6× 183 1.4× 163 1.6× 34 790
Jack Matthews United Kingdom 13 552 1.2× 349 2.0× 113 0.7× 78 0.6× 179 1.8× 34 686
Matthias Sinnesael Belgium 14 267 0.6× 259 1.5× 129 0.8× 62 0.5× 37 0.4× 38 463

Countries citing papers authored by Xu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Dai. A scholar is included among the top collaborators of Xu Dai 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 Xu Dai. Xu Dai 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.
Dai, Xu, Jing Chen, Mingtao Li, et al.. (2025). Lower–Middle Triassic conodont biostratigraphy and evolution from South Tibet, China: Implications for global correlations. Palaeogeography Palaeoclimatology Palaeoecology. 675. 113055–113055.
2.
Wang, Feng‐Yu, Seth Finnegan, Jacopo Dal Corso, et al.. (2025). Brachiopods and forams reduced calcification costs through morphological simplification during mass extinction events. Nature Ecology & Evolution. 9(8). 1456–1468. 1 indexed citations
3.
Li, Zhe, Xin Yang, Jacopo Dal Corso, et al.. (2025). No extinction in foraminifera during the Carnian Pluvial Episode (Late Triassic). Global and Planetary Change. 251. 104817–104817.
4.
Dai, Xu, Joshua H.F.L. Davies, Huyue Song, et al.. (2025). Geochronology of the Early Triassic based on coupled Bayesian zircon eruption age and Bayesian age–depth models. Proceedings of the National Academy of Sciences. 122(44). e2509247122–e2509247122.
5.
Song, Haijun, Yuyang Wu, Xu Dai, et al.. (2024). Respiratory protein-driven selectivity during the Permian-Triassic mass extinction. The Innovation. 5(3). 100618–100618. 10 indexed citations
6.
Liu, Xiaokang, et al.. (2024). Morphological complexity promotes origination and extinction rates in ammonoids. Current Biology. 34(23). 5587–5594.e2. 1 indexed citations
7.
Dai, Xu, Xiaokang Liu, Feng‐Yu Wang, et al.. (2024). Foraminiferal Extinction and Size Reduction during the Permian-Triassic Transition in Southern Tibet. Journal of Earth Science. 35(6). 1799–1809. 2 indexed citations
8.
Pohl, Alexandre, Richard Stockey, Xu Dai, et al.. (2023). Why the Early Paleozoic was intrinsically prone to marine extinction. Science Advances. 9(35). eadg7679–eadg7679. 8 indexed citations
9.
Li, Mingtao, Li Tian, Paul B. Wignall, et al.. (2023). Expansion of microbial-induced carbonate factory into deeper water after the Permian-Triassic mass extinction. Global and Planetary Change. 230. 104274–104274. 3 indexed citations
10.
Dai, Xu, Arnaud Brayard, David Ware, et al.. (2023). High-resolution Early Triassic ammonoid biostratigraphy of South Tibet, China and implications for global correlations. Earth-Science Reviews. 239. 104384–104384. 8 indexed citations
12.
Dai, Xu, et al.. (2022). A new index for quantifying the ornamentational complexity of animals with shells. Ecology and Evolution. 12(8). e9247–e9247. 4 indexed citations
13.
Dai, Xu, Arnaud Brayard, Mingtao Li, et al.. (2021). Calibrating the late Smithian (Early Triassic) crisis: New insights from the Nanpanjiang Basin, South China. Global and Planetary Change. 201. 103492–103492. 14 indexed citations
14.
Song, Haijun, David B. Kemp, Li Tian, et al.. (2021). Thresholds of temperature change for mass extinctions. Nature Communications. 12(1). 4694–4694. 85 indexed citations
15.
Dai, Xu & Haijun Song. (2020). Toward an understanding of cosmopolitanism in deep time: a case study of ammonoids from the middle Permian to the Middle Triassic. Paleobiology. 46(4). 533–549. 20 indexed citations
16.
Song, Haijun, et al.. (2020). Flat latitudinal diversity gradient caused by the Permian–Triassic mass extinction. Proceedings of the National Academy of Sciences. 117(30). 17578–17583. 62 indexed citations
17.
Li, Mingtao, Haijun Song, Paul B. Wignall, et al.. (2019). Early Triassic oceanic red beds coupled with deep sea oxidation in South Tethys. Sedimentary Geology. 391. 105519–105519. 15 indexed citations
18.
Li, Mingtao, Haijun Song, Haijun Song, et al.. (2018). Lower Triassic deep sea carbonate precipitates from South Tibet, China. Sedimentary Geology. 376. 60–71. 7 indexed citations
19.
Dai, Xu, Haijun Song, Paul B. Wignall, et al.. (2018). Rapid biotic rebound during the late Griesbachian indicates heterogeneous recovery patterns after the Permian-Triassic mass extinction. Geological Society of America Bulletin. 130(11-12). 2015–2030. 25 indexed citations
20.
Wang, Feng‐Yu, Jing Chen, Xu Dai, & Haijun Song. (2017). A new Dienerian (Early Triassic) brachiopod fauna from South China and implications for biotic recovery after the Permian–Triassic extinction. Papers in Palaeontology. 3(3). 425–439. 13 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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