Xiaoling Zhang

242 total papers · 8.3k total citations
117 papers, 4.8k citations indexed

About

Xiaoling Zhang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Xiaoling Zhang has authored 117 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 23 papers in Genetics and 15 papers in Physiology. Recurrent topics in Xiaoling Zhang's work include Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (11 papers) and Genetic Associations and Epidemiology (11 papers). Xiaoling Zhang is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (11 papers) and Genetic Associations and Epidemiology (11 papers). Xiaoling Zhang collaborates with scholars based in United States, China and United Kingdom. Xiaoling Zhang's co-authors include Fengzhu Sun, Jed A. Fuhrman, Jacob A. Cram, Hanlee P. Ji, Dongmei Ai, Noemi Andor, Athena Aktipis, Marnix Jansen, Trevor A. Graham and Claudia Petritsch and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xiaoling Zhang

112 papers receiving 4.7k citations

Hit Papers

Pan-cancer analysis of th... 2006 2026 2012 2019 2015 2006 2016 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Xiaoling Zhang 2.6k 906 878 764 455 117 4.8k
Emmanuel Dias‐Neto 2.1k 0.8× 1.0k 1.2× 920 1.0× 507 0.7× 343 0.8× 148 5.5k
Juan Shi 2.1k 0.8× 551 0.6× 501 0.6× 961 1.3× 388 0.9× 251 4.6k
Takuji Yamada 3.1k 1.2× 657 0.7× 450 0.5× 426 0.6× 539 1.2× 143 5.0k
Jie Ren 3.1k 1.2× 863 1.0× 436 0.5× 547 0.7× 447 1.0× 228 5.4k
Martin Poot 3.7k 1.4× 528 0.6× 1.4k 1.6× 718 0.9× 510 1.1× 175 6.5k
Lei Du 3.4k 1.3× 468 0.5× 825 0.9× 599 0.8× 214 0.5× 115 5.9k
Gianluca De Bellis 4.3k 1.7× 479 0.5× 1.1k 1.3× 605 0.8× 734 1.6× 149 6.5k
Alberto Riva 2.3k 0.9× 981 1.1× 385 0.4× 625 0.8× 213 0.5× 115 4.7k
Yan Li 2.8k 1.1× 637 0.7× 535 0.6× 517 0.7× 213 0.5× 185 6.0k
You Zhou 3.8k 1.5× 812 0.9× 308 0.4× 735 1.0× 252 0.6× 111 6.2k

Countries citing papers authored by Xiaoling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Zhang

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