Shiqi Mao

53 total papers · 947 total citations
37 papers, 579 citations indexed

About

Shiqi Mao is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shiqi Mao has authored 37 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shiqi Mao's work include Lung Cancer Treatments and Mutations (8 papers), RNA and protein synthesis mechanisms (6 papers) and CRISPR and Genetic Engineering (6 papers). Shiqi Mao is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), RNA and protein synthesis mechanisms (6 papers) and CRISPR and Genetic Engineering (6 papers). Shiqi Mao collaborates with scholars based in China, United States and India. Shiqi Mao's co-authors include Antony K. Chen, Christopher J. Krueger, Shengxiang Ren, Yantao Yang, Chao Zhao, Tao Jiang, Fei Zhou, Xuefei Li, Caicun Zhou and Meng Qiao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and ACS Nano.

In The Last Decade

Shiqi Mao

34 papers receiving 573 citations

Author Peers

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

Author						Papers	Cites
Shiqi Mao	341	160	137	73	57	37	579
Wenju Liu	146 0.4×	108 0.7×	145 1.1×	64 0.9×	70 1.2×	37	503
Nobuhiro Yamakawa	263 0.8×	182 1.1×	137 1.0×	87 1.2×	36 0.6×	57	645
Keith A. Lawson	435 1.3×	119 0.7×	71 0.5×	52 0.7×	27 0.5×	28	614
Cristèle Gilbert	415 1.2×	86 0.5×	181 1.3×	90 1.2×	22 0.4×	23	668
Bertrand Neveu	252 0.7×	67 0.4×	123 0.9×	85 1.2×	47 0.8×	31	559
Rosemarie ten Cate	328 1.0×	178 1.1×	114 0.8×	107 1.5×	194 3.4×	25	653
Hirokazu Hirakawa	292 0.9×	142 0.9×	255 1.9×	94 1.3×	26 0.5×	32	510
Lei Yang	407 1.2×	130 0.8×	70 0.5×	147 2.0×	38 0.7×	45	592
Sejal Desai	197 0.6×	158 1.0×	126 0.9×	83 1.1×	72 1.3×	26	533
Tore Farsund	150 0.4×	75 0.5×	69 0.5×	99 1.4×	48 0.8×	23	511

Countries citing papers authored by Shiqi Mao

Since Specialization

Citations

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

Fields of papers citing papers by Shiqi Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiqi Mao

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