Daiqing Li

65 total papers · 1.9k total citations
42 papers, 1.4k citations indexed

About

Daiqing Li is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Daiqing Li has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Daiqing Li's work include Pancreatic function and diabetes (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Diabetes Treatment and Management (4 papers). Daiqing Li is often cited by papers focused on Pancreatic function and diabetes (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Diabetes Treatment and Management (4 papers). Daiqing Li collaborates with scholars based in China, Sweden and Canada. Daiqing Li's co-authors include Erik Renström, Sanja Fidler, Antonio Torralba, Albert Salehi, Patrik Rorsman, Karsten Kreis, Xingjun Jing, Rosita Ivarsson, Junlin Yang and Thomas Reinbothe and has published in prestigious journals such as Science, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Daiqing Li

41 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Daiqing Li 441 427 207 169 152 42 1.4k
Claude Laurent Benhamou 525 1.2× 279 0.7× 70 0.3× 130 0.8× 77 0.5× 60 1.8k
Ying Nie 353 0.8× 169 0.4× 187 0.9× 68 0.4× 89 0.6× 51 1.2k
Xiaojuan Wu 752 1.7× 173 0.4× 84 0.4× 120 0.7× 102 0.7× 104 1.8k
Ryo Ito 564 1.3× 418 1.0× 414 2.0× 207 1.2× 84 0.6× 88 1.6k
Koji Yamamoto 415 0.9× 580 1.4× 63 0.3× 59 0.3× 97 0.6× 113 1.6k
Giuseppe Palermo 395 0.9× 414 1.0× 112 0.5× 62 0.4× 60 0.4× 100 1.5k
Bian Wu 494 1.1× 486 1.1× 166 0.8× 63 0.4× 67 0.4× 109 1.8k
Hyoeun Kim 579 1.3× 201 0.5× 104 0.5× 217 1.3× 41 0.3× 97 1.7k
Wenwei Zhang 562 1.3× 153 0.4× 92 0.4× 187 1.1× 120 0.8× 27 1.2k
Jianning Li 303 0.7× 295 0.7× 82 0.4× 170 1.0× 58 0.4× 96 1.5k

Countries citing papers authored by Daiqing Li

Since Specialization
Citations

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

Fields of papers citing papers by Daiqing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiqing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Daiqing Li. A scholar is included among the top collaborators of Daiqing 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 Daiqing Li. Daiqing Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026