Dayong Gan

588 total citations · 1 hit paper
11 papers, 404 citations indexed

About

Dayong Gan is a scholar working on Soil Science, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Dayong Gan has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Soil Science, 4 papers in Nature and Landscape Conservation and 4 papers in Plant Science. Recurrent topics in Dayong Gan's work include Soil Carbon and Nitrogen Dynamics (5 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Dayong Gan is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (5 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Dayong Gan collaborates with scholars based in China, Romania and Japan. Dayong Gan's co-authors include Biao Zhu, Mengguang Han, Lijuan Sun, Yunfeng Han, Tianle Xu, Yanpei Guo, Paul Mac Berthouex, Mioko Ataka, Jiguang Feng and Hui Zeng and has published in prestigious journals such as Nature Communications, Ecology and New Phytologist.

In The Last Decade

Dayong Gan

9 papers receiving 393 citations

Hit Papers

Root exudation as a major competitive fine‐root functiona... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dayong Gan China 7 242 226 74 68 55 11 404
Jiahui Liao China 9 93 0.4× 217 1.0× 115 1.6× 30 0.4× 27 0.5× 18 329
Eva-Maria Kastl Germany 6 200 0.8× 255 1.1× 184 2.5× 43 0.6× 30 0.5× 7 423
Marlies Dietrich Austria 5 262 1.1× 281 1.2× 231 3.1× 56 0.8× 29 0.5× 7 560
Ursula Bausenwein Germany 9 139 0.6× 137 0.6× 92 1.2× 46 0.7× 31 0.6× 10 305
M. D. Wallenstein United States 8 148 0.6× 269 1.2× 140 1.9× 31 0.5× 68 1.2× 14 422
Maëva Labouyrie Switzerland 7 131 0.5× 152 0.7× 117 1.6× 20 0.3× 32 0.6× 14 355
Jaroslav Kukla Czechia 12 87 0.4× 139 0.6× 121 1.6× 61 0.9× 18 0.3× 36 320
Zhen Bai China 14 151 0.6× 365 1.6× 203 2.7× 46 0.7× 29 0.5× 34 509
Xiaoyu Jia China 10 205 0.8× 310 1.4× 224 3.0× 17 0.3× 60 1.1× 14 507

Countries citing papers authored by Dayong Gan

Since Specialization
Citations

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

Fields of papers citing papers by Dayong Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayong Gan

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

All Works

11 of 11 papers shown
1.
Han, Mengguang, Ying Chen, Dayong Gan, et al.. (2025). The latitudinal pattern of fine root intraspecific trait variation among species in plant communities. Nature Communications. 16(1). 9340–9340.
2.
Sun, Lijuan, Tianle Xu, Mengguang Han, et al.. (2023). Species of fast bulk‐soil nutrient cycling have lower rhizosphere effects: A nutrient spectrum of rhizosphere effects. Ecology. 104(4). e3981–e3981. 27 indexed citations
3.
Gan, Dayong, Jiguang Feng, Mengguang Han, Hui Zeng, & Biao Zhu. (2021). Rhizosphere effects of woody plants on soil biogeochemical processes: A meta-analysis. Soil Biology and Biochemistry. 160. 108310–108310. 60 indexed citations
4.
Gan, Dayong, Hui Zeng, & Biao Zhu. (2021). The rhizosphere effect on soil gross nitrogen mineralization: A meta-analysis. Soil Ecology Letters. 4(2). 144–154. 23 indexed citations
5.
Sun, Lijuan, Mioko Ataka, Mengguang Han, et al.. (2020). Root exudation as a major competitive fine‐root functional trait of 18 coexisting species in a subtropical forest. New Phytologist. 229(1). 259–271. 168 indexed citations breakdown →
6.
Han, Mengguang, et al.. (2020). Root functional traits are key determinants of the rhizosphere effect on soil organic matter decomposition across 14 temperate hardwood species. Soil Biology and Biochemistry. 151. 108019–108019. 80 indexed citations
7.
Gan, Dayong & Paul Mac Berthouex. (1994). Disappearance and crop uptake of PCBs from sludge‐amended farmland. Water Environment Research. 66(1). 54–69. 31 indexed citations
8.
Berthouex, Paul Mac & Dayong Gan. (1993). A model of measurement precision at low concentrations. Water Environment Research. 65(6). 759–763. 2 indexed citations
9.
Berthouex, Paul Mac & Dayong Gan. (1991). Loss of PCBs from Municipal‐Sludge–Treated Farmland. Journal of Environmental Engineering. 117(1). 5–24. 9 indexed citations
10.
Berthouex, Paul Mac & Dayong Gan. (1991). Fate of PCBs in Municipal-Sludge Amended Soil. 277–282.
11.
Gan, Dayong & R. Ryan Dupont. (1989). Multiphase and Multicompound Measurements of Batch Equilibrium Distribution Coefficients for Six Volatile Organic Compounds. Hazardous Waste and Hazardous Materials. 6(4). 363–383. 4 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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