Anqi Li

35 total papers · 927 total citations
13 papers, 483 citations indexed

About

Anqi Li is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Anqi Li has authored 13 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Anqi Li's work include Immune cells in cancer (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Anqi Li is often cited by papers focused on Immune cells in cancer (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Anqi Li collaborates with scholars based in China, United States and Australia. Anqi Li's co-authors include Brian Riesenberg, Zihai Li, No‐Joon Song, Pam Hall, Michael J. Hickey, A. Richard Kitching, Clare L V Westhorpe, Michaela Finsterbusch, Sapna Devi and Alessandra Metelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Anqi Li

12 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Anqi Li 213 148 118 54 50 13 483
Tao You 179 0.8× 142 1.0× 56 0.5× 26 0.5× 41 0.8× 16 489
Péter Pócza 229 1.1× 176 1.2× 99 0.8× 43 0.8× 23 0.5× 15 483
Evert Nijhuis 130 0.6× 180 1.2× 51 0.4× 47 0.9× 23 0.5× 9 429
Gemma León 187 0.9× 153 1.0× 97 0.8× 33 0.6× 43 0.9× 14 430
Sulochana S. Bhandarkar 115 0.5× 216 1.5× 82 0.7× 25 0.5× 32 0.6× 12 466
Montserrat Alvarez 274 1.3× 82 0.6× 66 0.6× 36 0.7× 39 0.8× 14 503
Toshitake Hirai 156 0.7× 271 1.8× 119 1.0× 29 0.5× 39 0.8× 9 547
Weixin Lu 225 1.1× 165 1.1× 138 1.2× 43 0.8× 29 0.6× 13 499
Sabrina Pagliei 137 0.6× 298 2.0× 57 0.5× 43 0.8× 24 0.5× 9 533
Sylviane Lambert 216 1.0× 199 1.3× 82 0.7× 24 0.4× 20 0.4× 22 521

Countries citing papers authored by Anqi Li

Since Specialization
Citations

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

Fields of papers citing papers by Anqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anqi Li

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