Xiang Mao

26 total papers · 5.0k total citations
20 papers, 748 citations indexed

About

Xiang Mao is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Xiang Mao has authored 20 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Xiang Mao's work include Cytokine Signaling Pathways and Interactions (4 papers), Protein Tyrosine Phosphatases (3 papers) and Autophagy in Disease and Therapy (3 papers). Xiang Mao is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Protein Tyrosine Phosphatases (3 papers) and Autophagy in Disease and Therapy (3 papers). Xiang Mao collaborates with scholars based in China, United States and Hong Kong. Xiang Mao's co-authors include Xiaohong Chen, James Darnell, Zhiyong Ren, John S. McMurray, Borries Demeler, Holger Sondermann, Wei Wang, Haiping Hao, Xiaochun Hu and Pengpeng Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Journal of Applied Physics.

In The Last Decade

Xiang Mao

18 papers receiving 740 citations

Author Peers

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

Author						Papers	Cites
Xiang Mao	359	272	271	117	82	20	748
R. A. Malmgren	264 0.7×	370 1.4×	140 0.5×	90 0.8×	56 0.7×	22	765
Caroline Cheung	157 0.4×	186 0.7×	460 1.7×	142 1.2×	70 0.9×	27	872
Juan E. Viñuela	160 0.4×	217 0.8×	259 1.0×	81 0.7×	72 0.9×	39	833
K Hioki	180 0.5×	188 0.7×	236 0.9×	88 0.8×	121 1.5×	29	698
Elisa S. Jansen	212 0.6×	166 0.6×	444 1.6×	65 0.6×	35 0.4×	13	739
Yan Tang	217 0.6×	309 1.1×	167 0.6×	95 0.8×	83 1.0×	25	638
Da‐Wei Yeh	196 0.5×	243 0.9×	364 1.3×	75 0.6×	82 1.0×	23	810
Christelle Lenoir	233 0.6×	531 2.0×	263 1.0×	175 1.5×	135 1.6×	30	901
Bingnan Yin	209 0.6×	237 0.9×	507 1.9×	62 0.5×	66 0.8×	14	831
Sharlene Velichko	215 0.6×	404 1.5×	228 0.8×	101 0.9×	58 0.7×	21	888

Countries citing papers authored by Xiang Mao

Since Specialization

Citations

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

Fields of papers citing papers by Xiang Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Mao

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