Dan-di Li

48 total papers · 637 total citations
35 papers, 418 citations indexed

About

Dan-di Li is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dan-di Li has authored 35 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Infectious Diseases, 15 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dan-di Li's work include Viral gastroenteritis research and epidemiology (28 papers), Respiratory viral infections research (13 papers) and Animal Virus Infections Studies (10 papers). Dan-di Li is often cited by papers focused on Viral gastroenteritis research and epidemiology (28 papers), Respiratory viral infections research (13 papers) and Animal Virus Infections Studies (10 papers). Dan-di Li collaborates with scholars based in China, United States and Switzerland. Dan-di Li's co-authors include Zhaojun Duan, Weixia Cheng, Na Liu, Jie‐mei Yu, Zhao‐yin Fang, Ziqian Xu, Lili Pang, Qing Zhang, Yu Jin and Shu‐xian Cui and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Dan-di Li

32 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Dan-di Li 334 220 139 127 52 35 418
Kiyotaka Horino 316 0.9× 141 0.6× 120 0.9× 148 1.2× 54 1.0× 20 469
Gabriele Buttinelli 340 1.0× 235 1.1× 141 1.0× 48 0.4× 23 0.4× 30 490
Audrey Cilli 383 1.1× 213 1.0× 47 0.3× 166 1.3× 111 2.1× 34 467
Jen-Shiou Lin 304 0.9× 126 0.6× 205 1.5× 71 0.6× 72 1.4× 13 428
György Berencsi 329 1.0× 141 0.6× 123 0.9× 32 0.3× 26 0.5× 25 492
Suting Wang 307 0.9× 208 0.9× 140 1.0× 41 0.3× 26 0.5× 35 473
Kazuyo YAMASHITA 291 0.9× 132 0.6× 253 1.8× 75 0.6× 26 0.5× 22 485
Yaoska Reyes 400 1.2× 173 0.8× 69 0.5× 121 1.0× 91 1.8× 31 426
Héctor Cuello 309 0.9× 122 0.6× 89 0.6× 121 1.0× 99 1.9× 25 460
Jones Anderson Monteiro Siqueira 369 1.1× 134 0.6× 53 0.4× 109 0.9× 54 1.0× 40 393

Countries citing papers authored by Dan-di Li

Since Specialization
Citations

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

Fields of papers citing papers by Dan-di Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-di Li. 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 Dan-di Li. The network helps show where Dan-di Li may publish in the future.

Co-authorship network of co-authors of Dan-di Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dan-di Li. A scholar is included among the top collaborators of Dan-di Li 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 Dan-di Li. Dan-di Li 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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