Xuni Li

18 total papers · 625 total citations
10 papers, 467 citations indexed

About

Xuni Li is a scholar working on Molecular Biology, Infectious Diseases and Microbiology. According to data from OpenAlex, Xuni Li has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Microbiology. Recurrent topics in Xuni Li's work include Microbial infections and disease research (3 papers), Animal Virus Infections Studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). Xuni Li is often cited by papers focused on Microbial infections and disease research (3 papers), Animal Virus Infections Studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). Xuni Li collaborates with scholars based in United States, China and Canada. Xuni Li's co-authors include Yves Y. Sere, Marian DiFiglia, Reka A. Haraszti, Matteo Stoppato, Michelle L. Dubuke, Yang Wang, Scott A. Shaffer, Rachael Miller, Neil Aronin and Marie-Cécile Didiot and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Molecular Therapy.

In The Last Decade

Xuni Li

9 papers receiving 464 citations

Hit Papers

Exosomes Produced from 3D... 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
Xuni Li 405 220 51 49 41 10 467
Andrew S. Murray 196 0.5× 142 0.6× 20 0.4× 49 1.0× 47 1.1× 13 514
Farah Shahjin 360 0.9× 168 0.8× 103 2.0× 34 0.7× 54 1.3× 10 500
Urara Tanaka 281 0.7× 134 0.6× 111 2.2× 40 0.8× 43 1.0× 15 489
Sofía Jerez 286 0.7× 173 0.8× 18 0.4× 31 0.6× 49 1.2× 16 479
Andrew M. Overmiller 265 0.7× 104 0.5× 33 0.6× 32 0.7× 21 0.5× 15 534
Daniel Bachurski 416 1.0× 211 1.0× 17 0.3× 83 1.7× 17 0.4× 7 516
Paul Blezinger 310 0.8× 120 0.5× 18 0.4× 37 0.8× 25 0.6× 10 449
Sun-Hun Kim 349 0.9× 88 0.4× 37 0.7× 19 0.4× 48 1.2× 11 524
Katarzyna Wilk 265 0.7× 55 0.3× 63 1.2× 41 0.8× 55 1.3× 10 466
Christopher Tricarico 479 1.2× 248 1.1× 26 0.5× 40 0.8× 15 0.4× 9 527

Countries citing papers authored by Xuni Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuni Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuni Li

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