Lei Shi

301 total papers · 10.1k total citations
201 papers, 4.6k citations indexed

About

Lei Shi is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Lei Shi has authored 201 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Plant Science, 64 papers in Molecular Biology and 11 papers in Soil Science. Recurrent topics in Lei Shi's work include Plant Micronutrient Interactions and Effects (94 papers), Plant nutrient uptake and metabolism (81 papers) and Plant Stress Responses and Tolerance (39 papers). Lei Shi is often cited by papers focused on Plant Micronutrient Interactions and Effects (94 papers), Plant nutrient uptake and metabolism (81 papers) and Plant Stress Responses and Tolerance (39 papers). Lei Shi collaborates with scholars based in China, United Kingdom and United States. Lei Shi's co-authors include Fangsen Xu, Guangda Ding, Hongmei Cai, Philip J. White, Sheliang Wang, Jinling Meng, Xiangsheng Ye, Yingpeng Hua, Chuang Wang and Long Yan and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lei Shi

196 papers receiving 4.5k citations

Author Peers

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

Author Last Decade Papers Cites
Lei Shi 3.4k 1.5k 399 381 233 201 4.6k
Chunyan Liu 4.3k 1.3× 4.0k 2.7× 345 0.9× 487 1.3× 204 0.9× 287 8.1k
Jeremy A. Roberts 4.4k 1.3× 2.0k 1.4× 492 1.2× 143 0.4× 236 1.0× 125 5.5k
Peng Yan 3.7k 1.1× 2.2k 1.5× 396 1.0× 372 1.0× 234 1.0× 264 6.5k
Allen G. Good 5.7k 1.7× 1.9k 1.3× 435 1.1× 406 1.1× 763 3.3× 101 6.6k
Robert Cook 6.2k 1.8× 2.0k 1.4× 534 1.3× 306 0.8× 443 1.9× 175 8.9k
Jıng Zhang 3.5k 1.0× 1.4k 0.9× 394 1.0× 375 1.0× 311 1.3× 321 5.7k
Ashwani Pareek 6.5k 1.9× 3.1k 2.1× 143 0.4× 514 1.3× 244 1.0× 197 7.8k
Claudine Elmerich 2.3k 0.7× 1.3k 0.9× 151 0.4× 401 1.1× 217 0.9× 95 3.9k
R. G. Wyn Jones 4.1k 1.2× 1.1k 0.8× 314 0.8× 247 0.6× 452 1.9× 99 5.7k
Chun Wang 2.2k 0.6× 1.8k 1.3× 351 0.9× 177 0.5× 81 0.3× 162 4.2k

Countries citing papers authored by Lei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Shi. A scholar is included among the top collaborators of Lei Shi 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 Lei Shi. Lei Shi 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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