Junli Yu

14 total papers · 437 total citations
10 papers, 361 citations indexed

About

Junli Yu is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Junli Yu has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Junli Yu's work include Immune Cell Function and Interaction (4 papers), Ginseng Biological Effects and Applications (3 papers) and Cancer-related molecular mechanisms research (2 papers). Junli Yu is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Ginseng Biological Effects and Applications (3 papers) and Cancer-related molecular mechanisms research (2 papers). Junli Yu collaborates with scholars based in China, United States and Taiwan. Junli Yu's co-authors include Katharine C. Hsu, Sung‐Jin Kim, Glenn Heller, Joseph H. Chewning, Wayne M. Yokoyama, Richard J. O’Reilly, Xiaorong Liu, James Pring, Jeffrey M. Venstrom and Gui-Fang Cheng and has published in prestigious journals such as Blood, The Journal of Immunology and Planta Medica.

In The Last Decade

Junli Yu

10 papers receiving 353 citations

Author Peers

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

Author Last Decade Papers Cites
Junli Yu 277 94 68 62 23 10 361
Alendry P. Caviles 175 0.6× 79 0.8× 41 0.6× 88 1.4× 7 0.3× 10 375
F G Staber 164 0.6× 76 0.8× 36 0.5× 84 1.4× 5 0.2× 15 304
Rajesh Soni 93 0.3× 65 0.7× 173 2.5× 120 1.9× 15 0.7× 17 347
Sydney K. Robinson 65 0.2× 71 0.8× 53 0.8× 80 1.3× 5 0.2× 13 305
Christian Gerner‐Smidt 178 0.6× 62 0.7× 46 0.7× 167 2.7× 5 0.2× 10 373
Adriana Gutiérrez‐Hoya 106 0.4× 28 0.3× 131 1.9× 105 1.7× 10 0.4× 12 310
Koki Takeda 212 0.8× 35 0.4× 64 0.9× 141 2.3× 6 0.3× 15 371
K. Hefter 113 0.4× 27 0.3× 36 0.5× 156 2.5× 14 0.6× 9 373
Hao Wei 90 0.3× 30 0.3× 32 0.5× 155 2.5× 33 1.4× 15 325
Christina Swanson 110 0.4× 27 0.3× 88 1.3× 151 2.4× 8 0.3× 8 385

Countries citing papers authored by Junli Yu

Since Specialization
Citations

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

Fields of papers citing papers by Junli Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junli Yu

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