Dingyuan Yan

106 total papers · 3.3k total citations
72 papers, 2.4k citations indexed

About

Dingyuan Yan is a scholar working on Biomedical Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Dingyuan Yan has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Biomedical Engineering, 50 papers in Materials Chemistry and 14 papers in Organic Chemistry. Recurrent topics in Dingyuan Yan's work include Nanoplatforms for cancer theranostics (54 papers), Luminescence and Fluorescent Materials (45 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Dingyuan Yan is often cited by papers focused on Nanoplatforms for cancer theranostics (54 papers), Luminescence and Fluorescent Materials (45 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). Dingyuan Yan collaborates with scholars based in China, Hong Kong and United States. Dingyuan Yan's co-authors include Dong Wang, Ben Zhong Tang, Qian Wu, Miaomiao Kang, Zhijun Zhang, Lei Wang, Nan Song, Jianyu Zhang, Meng Li and Peihong Xiao and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Dingyuan Yan

66 papers receiving 2.4k citations

Hit Papers

The fast-growing field of... 2022 2026 2023 2024 2022 2022 2024 2024 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Dingyuan Yan 1.5k 1.4k 485 447 358 72 2.4k
Kangqiang Qiu 1.1k 0.7× 1.4k 1.0× 486 1.0× 701 1.6× 327 0.9× 55 2.6k
Samuel G. Awuah 906 0.6× 1.3k 0.9× 639 1.3× 548 1.2× 393 1.1× 65 2.5k
Chendong Ji 1.2k 0.8× 1.2k 0.9× 315 0.6× 452 1.0× 275 0.8× 55 2.3k
Qian Wu 982 0.7× 1.1k 0.8× 400 0.8× 333 0.7× 263 0.7× 54 2.0k
Thomas W. Rees 1.4k 1.0× 1.4k 1.0× 641 1.3× 753 1.7× 506 1.4× 54 2.9k
Yuling Xu 1.5k 1.0× 1.3k 0.9× 361 0.7× 539 1.2× 284 0.8× 53 2.6k
Bang‐Ping Jiang 1.5k 1.0× 1.8k 1.3× 402 0.8× 506 1.1× 231 0.6× 67 3.0k
Hanlin Ou 2.1k 1.4× 1.7k 1.2× 268 0.6× 604 1.4× 447 1.2× 48 2.9k
Yutong Pan 1.1k 0.8× 1.4k 1.0× 285 0.6× 459 1.0× 205 0.6× 47 2.3k
Chonglu Li 1.4k 0.9× 1.0k 0.7× 295 0.6× 377 0.8× 292 0.8× 40 2.0k

Countries citing papers authored by Dingyuan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dingyuan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingyuan Yan

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