Chongshan Dai

104 total papers · 3.9k total citations
95 papers, 3.0k citations indexed

About

Chongshan Dai is a scholar working on Molecular Biology, Molecular Medicine and Plant Science. According to data from OpenAlex, Chongshan Dai has authored 95 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 26 papers in Molecular Medicine and 19 papers in Plant Science. Recurrent topics in Chongshan Dai's work include Antibiotic Resistance in Bacteria (16 papers), Genomics, phytochemicals, and oxidative stress (13 papers) and Mycotoxins in Agriculture and Food (13 papers). Chongshan Dai is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Genomics, phytochemicals, and oxidative stress (13 papers) and Mycotoxins in Agriculture and Food (13 papers). Chongshan Dai collaborates with scholars based in China, Australia and United States. Chongshan Dai's co-authors include Shusheng Tang, Xilong Xiao, Tony Velkov, Jianzhong Shen, Jian Li, Daowen Li, Yang Wang, Gaurav Sharma, Jichang Li and Roberto Cappai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chongshan Dai

86 papers receiving 3.0k citations

Hit Papers

The Natural Product Curcu... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Chongshan Dai 1.2k 638 453 427 423 95 3.0k
Shusheng Tang 1.5k 1.2× 512 0.8× 384 0.8× 484 1.1× 487 1.2× 123 3.5k
Salman Khan 1.5k 1.3× 415 0.7× 218 0.5× 481 1.1× 365 0.9× 133 4.2k
Veerapol Kukongviriyapan 1.5k 1.2× 400 0.6× 235 0.5× 527 1.2× 383 0.9× 147 4.0k
Arshad Husain Rahmani 1.6k 1.3× 284 0.4× 321 0.7× 734 1.7× 505 1.2× 151 5.0k
Sidhartha D. Ray 1.3k 1.1× 289 0.5× 341 0.8× 535 1.3× 341 0.8× 62 4.2k
Dong‐Oh Moon 1.8k 1.5× 363 0.6× 208 0.5× 352 0.8× 749 1.8× 87 3.8k
Xilong Xiao 935 0.8× 391 0.6× 309 0.7× 262 0.6× 300 0.7× 68 2.4k
Adeeb Shehzad 2.1k 1.7× 1.2k 1.8× 450 1.0× 293 0.7× 332 0.8× 83 4.5k
Soon‐Cheol Ahn 1.5k 1.2× 201 0.3× 328 0.7× 267 0.6× 294 0.7× 127 3.3k
Ashraf B. Abdel‐Naim 1.3k 1.1× 194 0.3× 254 0.6× 549 1.3× 388 0.9× 167 4.2k

Countries citing papers authored by Chongshan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chongshan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongshan Dai

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