Lijia Shi

12 total papers · 449 total citations
10 papers, 205 citations indexed

About

Lijia Shi is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Lijia Shi has authored 10 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Lijia Shi's work include Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (3 papers) and Genomics and Phylogenetic Studies (2 papers). Lijia Shi is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (3 papers) and Genomics and Phylogenetic Studies (2 papers). Lijia Shi collaborates with scholars based in United States, China and Poland. Lijia Shi's co-authors include Gang Yan, Denise L. Faustman, Richard T. D’Aquila, Javier Martínez‐Picado, Lorraine Sutton, Denise L. Faustman, Yineng Fu, Alfred Penfornis, Yang Fu and Liandong Ma and has published in prestigious journals such as The Journal of Immunology, Annals of the New York Academy of Sciences and The ISME Journal.

In The Last Decade

Lijia Shi

10 papers receiving 198 citations

Author Peers

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

Author Last Decade Papers Cites
Lijia Shi 64 63 59 56 45 10 205
Chwan Hong Foo 56 0.9× 63 1.0× 96 1.6× 132 2.4× 31 0.7× 8 266
Franziska K. Geis 50 0.8× 58 0.9× 42 0.7× 190 3.4× 69 1.5× 7 261
Ayan Chatterjee 38 0.6× 22 0.3× 116 2.0× 103 1.8× 37 0.8× 12 287
Michela Masetti 71 1.1× 67 1.1× 53 0.9× 70 1.3× 22 0.5× 9 236
Min Ae Lee-Kirsch 95 1.5× 47 0.7× 30 0.5× 88 1.6× 17 0.4× 8 173
Michael Nekorchuk 55 0.9× 122 1.9× 80 1.4× 117 2.1× 20 0.4× 14 282
Bettina Cardel 35 0.5× 92 1.5× 53 0.9× 152 2.7× 41 0.9× 8 281
Allen S. Lau 125 2.0× 21 0.3× 33 0.6× 60 1.1× 57 1.3× 11 287
Cécile Hérate 62 1.0× 62 1.0× 43 0.7× 116 2.1× 16 0.4× 14 213
Dong-Kyun Ryu 15 0.2× 23 0.4× 61 1.0× 96 1.7× 20 0.4× 10 249

Countries citing papers authored by Lijia Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lijia Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijia Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lijia Shi. A scholar is included among the top collaborators of Lijia Shi 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 Lijia Shi. Lijia Shi 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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2026