Jing Dai

16 total papers · 448 total citations
16 papers, 311 citations indexed

About

Jing Dai is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Jing Dai has authored 16 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Agronomy and Crop Science and 4 papers in Soil Science. Recurrent topics in Jing Dai's work include Agronomic Practices and Intercropping Systems (8 papers), Plant Micronutrient Interactions and Effects (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Jing Dai is often cited by papers focused on Agronomic Practices and Intercropping Systems (8 papers), Plant Micronutrient Interactions and Effects (7 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Jing Dai collaborates with scholars based in China, South Africa and Japan. Jing Dai's co-authors include Yuanmei Zuo, Nanqi Wang, Wei Qiu, Tianqi Wang, Hiromi Nakanishi, Robert E. Paull, Qiaofang Lu, Xiaotong Guo, Shiqin Li and Tongtong Liu and has published in prestigious journals such as Nature Communications, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Jing Dai

15 papers receiving 303 citations

Hit Papers

Microbiome convergence en... 2024 2026 2024 10 20 30 40 50

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Dai 252 82 54 31 24 16 311
Wei Qiu 259 1.0× 88 1.1× 40 0.7× 25 0.8× 21 0.9× 13 313
M. Galavi 249 1.0× 78 1.0× 92 1.7× 32 1.0× 15 0.6× 18 316
Şefik Tüfenkçi 251 1.0× 64 0.8× 50 0.9× 16 0.5× 18 0.8× 32 319
Tanveer Ul Haq 302 1.2× 38 0.5× 30 0.6× 44 1.4× 17 0.7× 25 352
Sumran Pimratch 237 0.9× 72 0.9× 43 0.8× 20 0.6× 10 0.4× 12 303
RD Graham 308 1.2× 69 0.8× 93 1.7× 29 0.9× 49 2.0× 18 363
Kulasekaran Ramesh 242 1.0× 75 0.9× 53 1.0× 32 1.0× 26 1.1× 17 320
Youssef Ait Rahou 273 1.1× 37 0.5× 81 1.5× 36 1.2× 22 0.9× 12 316
Hirdayesh Anuragi 267 1.1× 50 0.6× 48 0.9× 51 1.6× 10 0.4× 21 349
Yan Sun 162 0.6× 79 1.0× 23 0.4× 29 0.9× 12 0.5× 27 266

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dai

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

All Works

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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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