Peiwen Di

10 total papers · 866 total citations
10 papers, 594 citations indexed

About

Peiwen Di is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Small Animals. According to data from OpenAlex, Peiwen Di has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 3 papers in Organic Chemistry and 3 papers in Small Animals. Recurrent topics in Peiwen Di's work include Computational Drug Discovery Methods (7 papers), Animal testing and alternatives (3 papers) and Drug Solubulity and Delivery Systems (3 papers). Peiwen Di is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Animal testing and alternatives (3 papers) and Drug Solubulity and Delivery Systems (3 papers). Peiwen Di collaborates with scholars based in China and United States. Peiwen Di's co-authors include Yun Tang, Weihua Li, Guixia Liu, Hongbin Yang, Lixia Sun, Yingchun Cai, Longfei Guan, Guixia Liu, Jianhui Chen and Qiufang Jing and has published in prestigious journals such as Food and Chemical Toxicology, Journal of Molecular Liquids and Powder Technology.

In The Last Decade

Peiwen Di

10 papers receiving 576 citations

Hit Papers

ADMET-score – a comprehen... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Peiwen Di 276 201 161 59 51 10 594
Camila S. de Magalhães 236 0.9× 296 1.5× 152 0.9× 59 1.0× 36 0.7× 9 592
Suranjana Das 157 0.6× 229 1.1× 143 0.9× 61 1.0× 69 1.4× 14 661
Shaohua Shi 194 0.7× 239 1.2× 108 0.7× 59 1.0× 60 1.2× 16 547
Francesca Stanzione 155 0.6× 258 1.3× 123 0.8× 39 0.7× 41 0.8× 13 513
Emanuel Kemmler 166 0.6× 192 1.0× 118 0.7× 62 1.1× 19 0.4× 7 510
Michiel Vanmeert 191 0.7× 313 1.6× 101 0.6× 57 1.0× 53 1.0× 16 687
Somnath Paul 374 1.4× 229 1.1× 209 1.3× 59 1.0× 85 1.7× 17 642
Pradeep Anand Ravindranath 206 0.7× 302 1.5× 70 0.4× 48 0.8× 52 1.0× 10 499
Letícia C. Assis 253 0.9× 230 1.1× 79 0.5× 43 0.7× 64 1.3× 20 496
Xiaoqian Lin 206 0.7× 290 1.4× 123 0.8× 46 0.8× 74 1.5× 14 579

Countries citing papers authored by Peiwen Di

Since Specialization
Citations

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

Fields of papers citing papers by Peiwen Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiwen Di

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