Ming Tan

3.8k total citations · 1 hit paper
54 papers, 3.0k citations indexed

About

Ming Tan is a scholar working on Atmospheric Science, Earth-Surface Processes and Paleontology. According to data from OpenAlex, Ming Tan has authored 54 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 29 papers in Earth-Surface Processes and 15 papers in Paleontology. Recurrent topics in Ming Tan's work include Geology and Paleoclimatology Research (49 papers), Geological formations and processes (17 papers) and Karst Systems and Hydrogeology (14 papers). Ming Tan is often cited by papers focused on Geology and Paleoclimatology Research (49 papers), Geological formations and processes (17 papers) and Karst Systems and Hydrogeology (14 papers). Ming Tan collaborates with scholars based in China, United States and Australia. Ming Tan's co-authors include Hai Cheng, R. Lawrence Edwards, Binggui Cai, Wuhui Duan, Dezhong Zhang, Pingzhong Zhang, Tungsheng Liu, Juzhi Hou, Yongjin Wang and Jian Liu and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Geochimica et Cosmochimica Acta.

In The Last Decade

Ming Tan

52 papers receiving 2.9k citations

Hit Papers

A Test of Climate, Sun, and Culture Relationships from an... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Tan China 23 2.8k 1.0k 700 616 602 54 3.0k
Matthew S. Lachniet United States 32 2.3k 0.8× 849 0.8× 591 0.8× 657 1.1× 421 0.7× 63 2.8k
James U.L. Baldini United Kingdom 30 2.2k 0.8× 1.2k 1.1× 737 1.1× 441 0.7× 384 0.6× 67 2.8k
Gayatri Kathayat China 23 3.1k 1.1× 1.1k 1.1× 699 1.0× 734 1.2× 538 0.9× 38 3.4k
Aifeng Zhou China 33 3.2k 1.2× 1.1k 1.0× 761 1.1× 946 1.5× 622 1.0× 117 3.7k
Chaoyong Hu China 22 2.2k 0.8× 1.1k 1.0× 660 0.9× 608 1.0× 278 0.5× 59 2.6k
Xiuyang Jiang China 19 2.5k 0.9× 981 0.9× 483 0.7× 805 1.3× 320 0.5× 63 2.8k
Adrian Gilli Switzerland 31 2.2k 0.8× 710 0.7× 682 1.0× 748 1.2× 309 0.5× 66 2.9k
Carrie Morrill United States 27 2.4k 0.8× 767 0.7× 457 0.7× 702 1.1× 475 0.8× 50 2.6k
Steve P. Lund United States 33 3.3k 1.2× 1.0k 1.0× 613 0.9× 915 1.5× 348 0.6× 97 3.8k
Jihong Cole‐Dai United States 25 3.0k 1.1× 505 0.5× 389 0.6× 838 1.4× 908 1.5× 63 3.5k

Countries citing papers authored by Ming Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Tan. A scholar is included among the top collaborators of Ming Tan 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 Ming Tan. Ming Tan 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.
Duan, Wuhui, et al.. (2025). Spatial pattern of Asian stalagmite δ18O over the last millennium shaped by monsoon circulation changes. Earth and Planetary Science Letters. 662. 119382–119382. 1 indexed citations
2.
Duan, Wuhui, et al.. (2024). Ma/Ca Ratio in Stalagmites as a Potential Palaeo‐Temperature Indicator. Geophysical Research Letters. 51(10). 2 indexed citations
3.
Tan, Ming, et al.. (2024). Mathematical insights into the influence of delay and external recruitment on coral-macroalgae system. Journal of the Franklin Institute. 361(18). 107329–107329.
4.
Wang, Xuefeng, Chunxue Xu, Wenlong Zhou, et al.. (2024). PXCG-1 and PXCG-2: two reference materials for gypsum U–Th dating. Journal of Analytical Atomic Spectrometry. 39(6). 1461–1469. 1 indexed citations
5.
Duan, Wuhui, Binggui Cai, Tao Tao, Xiao Yang, & Ming Tan. (2023). Multi‐Timescale Variations of δ18O‐δ13C in Stalagmites: Insights Into Isotopic Disequilibrium and Human Activities. Journal of Geophysical Research Atmospheres. 128(24). 7 indexed citations
6.
Duan, Wuhui, et al.. (2023). Centennial-scale monsoon collapses during Marine Isotope Stage (MIS)7e detected in a northern Chinese stalagmite record. Science China Earth Sciences. 66(12). 2941–2952. 1 indexed citations
7.
Zou, Xinqing, et al.. (2023). A taphonomic clock based on the coral grain size of beach sediments from the Yongle Atoll, South China Sea. Geomorphology. 435. 108737–108737. 1 indexed citations
9.
Duan, Wuhui, Hai Cheng, Ming Tan, et al.. (2022). Structural similarity between Termination III and I. Quaternary Science Reviews. 296. 107808–107808. 9 indexed citations
10.
Wang, Fang, Binggui Cai, Hai Cheng, et al.. (2022). Timing and Structure of 10.9 and 10.3 ka BP Events Revealed by Annually Laminated Stalagmite Records From Shihua Cave, Northern China. Paleoceanography and Paleoclimatology. 37(10). 5 indexed citations
11.
Duan, Wuhui, Zhibang Ma, Ming Tan, et al.. (2021). Timing and structure of early-Holocene climate anomalies inferred from north Chinese stalagmite records. The Holocene. 31(11-12). 1777–1785. 10 indexed citations
12.
Wang, Xuefeng, Wuhui Duan, Ming Tan, et al.. (2021). Variability of PDO identified by a last 300-year stalagmite δ18O record in Southwest China. Quaternary Science Reviews. 261. 106947–106947. 5 indexed citations
13.
Duan, Wuhui, Hai Cheng, Ming Tan, Xianglei Li, & R. Lawrence Edwards. (2019). Timing and structure of Termination II in north China constrained by a precisely dated stalagmite record. Earth and Planetary Science Letters. 512. 1–7. 15 indexed citations
14.
Baker, Andy, Christopher E. Marjo, Wuhui Duan, et al.. (2018). An optimized chronology for a stalagmite using seasonal trace element cycles from Shihua Cave, Beijing, North China. Scientific Reports. 8(1). 4551–4551. 15 indexed citations
15.
Kotlia, Bahadur Singh, Anoop Kumar Singh, Jian‐xin Zhao, et al.. (2016). Stalagmite based high resolution precipitation variability for past four centuries in the Indian Central Himalaya: Chulerasim cave re-visited and data re-interpretation. Quaternary International. 444. 35–43. 37 indexed citations
16.
Nan, Sulan, Ming Tan, & Ping Zhao. (2014). Evaluation of the ability of the Chinese stalagmite δ 18 O to record the variation in atmospheric circulation during the second half of the 20th century. Climate of the past. 10(3). 975–985. 7 indexed citations
17.
Shen, Chuan‐Chou, Ke Lin, Wuhui Duan, et al.. (2013). Testing the annual nature of speleothem banding. Scientific Reports. 3(1). 2633–2633. 48 indexed citations
18.
Cai, Binggui, Nathsuda Pumijumnong, Ming Tan, et al.. (2010). Effects of intraseasonal variation of summer monsoon rainfall on stable isotope and growth rate of a stalagmite from northwestern Thailand. Journal of Geophysical Research Atmospheres. 115(D21). 42 indexed citations
20.
Tan, Ming, Xiaoguang Qin, Dongsheng Liu, & Tungsheng Liu. (1998). Interannual, decadal and century scale climatic changes revealed by stalagmite records. Science in China Series D Earth Sciences. 41(4). 416–421. 5 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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