Jingjing Guan

48 total papers · 927 total citations
36 papers, 676 citations indexed

About

Jingjing Guan is a scholar working on Molecular Biology, Immunology and Rehabilitation. According to data from OpenAlex, Jingjing Guan has authored 36 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Rehabilitation. Recurrent topics in Jingjing Guan's work include Immune Cell Function and Interaction (6 papers), Exercise and Physiological Responses (6 papers) and COVID-19 Clinical Research Studies (3 papers). Jingjing Guan is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Exercise and Physiological Responses (6 papers) and COVID-19 Clinical Research Studies (3 papers). Jingjing Guan collaborates with scholars based in China, Canada and United States. Jingjing Guan's co-authors include Laurie Hoffman‐Goetz, N. Pervaiz, Xiangyang Lin, Chunxi Wang, Xin Wei, Jixue Wang, Hong Lu, Yingxiao Chen, Di Li and Zhongyong Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jingjing Guan

32 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Jingjing Guan 173 143 134 108 95 36 676
Xiao Ding 263 1.5× 115 0.8× 79 0.6× 120 1.1× 32 0.3× 26 755
Wenyan Yu 130 0.8× 241 1.7× 46 0.3× 66 0.6× 40 0.4× 33 759
Vahid Siavashi 203 1.2× 65 0.5× 76 0.6× 45 0.4× 30 0.3× 27 584
Xiaojing Liu 188 1.1× 26 0.2× 122 0.9× 61 0.6× 98 1.0× 44 778
Zhengrong Yin 293 1.7× 267 1.9× 35 0.3× 42 0.4× 27 0.3× 35 779
Fernanda Coelho 113 0.7× 22 0.2× 64 0.5× 77 0.7× 165 1.7× 32 642
P. K. Yаblonskiy 76 0.4× 247 1.7× 82 0.6× 41 0.4× 198 2.1× 74 677
Jenna M. Bartley 158 0.9× 99 0.7× 140 1.0× 24 0.2× 308 3.2× 36 751
Zahra Bagheri‐Hosseinabadi 194 1.1× 83 0.6× 59 0.4× 21 0.2× 92 1.0× 47 575
Asami Kondo 364 2.1× 42 0.3× 82 0.6× 30 0.3× 107 1.1× 34 726

Countries citing papers authored by Jingjing Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Guan

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