Juanyi Shi

44 total papers · 971 total citations
29 papers, 616 citations indexed

About

Juanyi Shi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Juanyi Shi has authored 29 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Juanyi Shi's work include Circular RNAs in diseases (11 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (8 papers). Juanyi Shi is often cited by papers focused on Circular RNAs in diseases (11 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (8 papers). Juanyi Shi collaborates with scholars based in China and Canada. Juanyi Shi's co-authors include Tianxin Lin, Luping Chen, Yinjie Su, Junming Bi, Ning Jiang, Wei Dong, Jian Huang, Jian Huang, Meihua Yang and Hongwei Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cancer and BMC Cancer.

In The Last Decade

Juanyi Shi

26 papers receiving 615 citations

Author Peers

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

Author Last Decade Papers Cites
Juanyi Shi 497 441 107 68 55 29 616
Satoru Inoguchi 460 0.9× 406 0.9× 67 0.6× 44 0.6× 55 1.0× 21 562
Qidong Cai 491 1.0× 409 0.9× 108 1.0× 56 0.8× 28 0.5× 25 630
Zhiwei Zhang 379 0.8× 353 0.8× 111 1.0× 52 0.8× 26 0.5× 24 503
Dong‐Qiu Dai 435 0.9× 389 0.9× 81 0.8× 43 0.6× 35 0.6× 33 542
Yuanda Cheng 427 0.9× 327 0.7× 103 1.0× 82 1.2× 37 0.7× 37 588
Boxue He 498 1.0× 380 0.9× 74 0.7× 62 0.9× 27 0.5× 22 629
Hui Zhang 523 1.1× 430 1.0× 57 0.5× 70 1.0× 66 1.2× 19 655
Yingying Jiang 400 0.8× 336 0.8× 84 0.8× 78 1.1× 38 0.7× 33 535
Runhua Feng 302 0.6× 320 0.7× 105 1.0× 95 1.4× 83 1.5× 25 512
Peng Gu 498 1.0× 423 1.0× 121 1.1× 79 1.2× 77 1.4× 23 650

Countries citing papers authored by Juanyi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Juanyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juanyi Shi

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