Meijia Li

94 total papers · 1.4k total citations
66 papers, 984 citations indexed

About

Meijia Li is a scholar working on Immunology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Meijia Li has authored 66 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 15 papers in Cognitive Neuroscience and 12 papers in Social Psychology. Recurrent topics in Meijia Li's work include Aquaculture disease management and microbiota (12 papers), Invertebrate Immune Response Mechanisms (11 papers) and Neural dynamics and brain function (9 papers). Meijia Li is often cited by papers focused on Aquaculture disease management and microbiota (12 papers), Invertebrate Immune Response Mechanisms (11 papers) and Neural dynamics and brain function (9 papers). Meijia Li collaborates with scholars based in China, Belgium and Netherlands. Meijia Li's co-authors include Lingling Wang, Linsheng Song, Zhaoqun Liu, Naem Haihambo, Qilin Yi, Linsheng Song, Cyrus C. Hopkins, Weilin Wang, Chuanliang Han and Limei Qiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Meijia Li

64 papers receiving 973 citations

Hit Papers

A review of the clinical ... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Meijia Li 288 176 143 118 103 66 984
Kim Jk 143 0.5× 61 0.3× 224 1.6× 56 0.5× 109 1.1× 59 900
William J. Dougherty 130 0.5× 100 0.6× 201 1.4× 79 0.7× 130 1.3× 60 1.1k
Ken-ichi Yamamoto 261 0.9× 113 0.6× 224 1.6× 53 0.4× 144 1.4× 77 996
Huan Zhang 259 0.9× 47 0.3× 387 2.7× 31 0.3× 189 1.8× 55 969
M. Samuel Cannon 153 0.5× 18 0.1× 166 1.2× 92 0.8× 123 1.2× 48 816
Hongjuan Sun 201 0.7× 103 0.6× 144 1.0× 124 1.1× 87 0.8× 41 802
Masato Uehara 59 0.2× 27 0.2× 285 2.0× 89 0.8× 92 0.9× 98 1.1k
Takaaki Kaneko 102 0.4× 144 0.8× 152 1.1× 12 0.1× 64 0.6× 79 924
L.A. Sorbera 103 0.4× 27 0.2× 198 1.4× 72 0.6× 100 1.0× 55 1.2k
Miguel Rubio 223 0.8× 36 0.2× 147 1.0× 42 0.4× 66 0.6× 106 1.2k

Countries citing papers authored by Meijia Li

Since Specialization
Citations

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

Fields of papers citing papers by Meijia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijia Li

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