Miao Ye

75 total papers · 704 total citations
48 papers, 506 citations indexed

About

Miao Ye is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miao Ye has authored 48 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miao Ye's work include Muscle activation and electromyography studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and RNA modifications and cancer (3 papers). Miao Ye is often cited by papers focused on Muscle activation and electromyography studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and RNA modifications and cancer (3 papers). Miao Ye collaborates with scholars based in China, United States and Austria. Miao Ye's co-authors include Pek Siew Lim, K MCKENZIE, Ivo Nnane, Anna Beutler, Josef S Smolen, Waldemar Radziszewski, Xie L. Xu, Yanli Zhuang, Sandeep K. Agarwal and Daniel L. Baker and has published in prestigious journals such as Gastroenterology, PLoS ONE and Annals of the Rheumatic Diseases.

In The Last Decade

Miao Ye

39 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
Miao Ye	112	101	89	80	57	48	506
Ricardo Márquez-Velasco	155 1.4×	148 1.5×	123 1.4×	61 0.8×	40 0.7×	42	599
Zahra Bagheri‐Hosseinabadi	59 0.5×	79 0.8×	194 2.2×	83 1.0×	92 1.6×	47	575
Jiali Chen	117 1.0×	97 1.0×	124 1.4×	26 0.3×	107 1.9×	55	512
Sara Hanaei	57 0.5×	59 0.6×	104 1.2×	98 1.2×	51 0.9×	55	579
Giulia Pozzi	72 0.6×	53 0.5×	156 1.8×	72 0.9×	35 0.6×	26	515
Marwa Qadri	61 0.5×	71 0.7×	156 1.8×	42 0.5×	49 0.9×	36	498
Katarzyna A. Lisowska	194 1.7×	42 0.4×	84 0.9×	42 0.5×	50 0.9×	46	617
Antonella Marcoccia	65 0.6×	39 0.4×	73 0.8×	54 0.7×	42 0.7×	27	485
Ziqin Cao	54 0.5×	77 0.8×	132 1.5×	22 0.3×	44 0.8×	44	449
Xiaobing Wang	61 0.5×	73 0.7×	182 2.0×	45 0.6×	154 2.7×	36	549

Countries citing papers authored by Miao Ye

Since Specialization

Citations

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

Fields of papers citing papers by Miao Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Ye

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