Xiaowu Gai

236 total papers · 10.2k total citations
90 papers, 4.2k citations indexed

About

Xiaowu Gai is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, Xiaowu Gai has authored 90 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 27 papers in Genetics and 13 papers in Ophthalmology. Recurrent topics in Xiaowu Gai's work include Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (12 papers) and Genomics and Rare Diseases (11 papers). Xiaowu Gai is often cited by papers focused on Mitochondrial Function and Pathology (17 papers), Metabolism and Genetic Disorders (12 papers) and Genomics and Rare Diseases (11 papers). Xiaowu Gai collaborates with scholars based in United States, China and Canada. Xiaowu Gai's co-authors include Michael J. Zilliox, Meghan M. Pearce, Alan J. Wolfe, Linda Brubaker, Evann E. Hilt, Paul C. Schreckenberger, Amy Rosenfeld, Jaclyn A. Biegel, Krystal Thomas‐White and Elizabeth R. Mueller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Xiaowu Gai

84 papers receiving 4.1k citations

Hit Papers

Urine Is Not Sterile: Use... 2013 2026 2017 2021 2013 2014 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
Xiaowu Gai 2.2k 1.4k 702 576 571 90 4.2k
Masaki Yanagishita 3.3k 1.5× 272 0.2× 786 1.1× 226 0.4× 739 1.3× 130 6.0k
Daniel R. Twardzik 3.5k 1.6× 872 0.6× 445 0.6× 202 0.4× 1.2k 2.1× 72 7.1k
Dimitry M. Danilenko 2.3k 1.1× 657 0.5× 363 0.5× 377 0.7× 814 1.4× 72 9.0k
Patrik Maurer 2.0k 0.9× 415 0.3× 1.1k 1.6× 103 0.2× 490 0.9× 60 4.6k
Shukti Chakravarti 1.9k 0.9× 355 0.3× 377 0.5× 83 0.1× 988 1.7× 94 6.1k
Walter F. Lever 844 0.4× 584 0.4× 1.1k 1.5× 133 0.2× 601 1.1× 118 4.8k
B J Nickoloff 1.6k 0.7× 708 0.5× 343 0.5× 252 0.4× 214 0.4× 79 6.9k
Paula S. Henthorn 2.2k 1.0× 286 0.2× 921 1.3× 88 0.2× 1.1k 2.0× 105 5.0k
Uffe Birk Jensen 2.5k 1.1× 310 0.2× 109 0.2× 489 0.8× 454 0.8× 104 4.5k
Celia Moss 1.1k 0.5× 540 0.4× 452 0.6× 146 0.3× 947 1.7× 134 4.2k

Countries citing papers authored by Xiaowu Gai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowu Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowu Gai

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