Tina Xu

27 total papers · 2.0k total citations
19 papers, 1.4k citations indexed

About

Tina Xu is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Tina Xu has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Immunology and Allergy. Recurrent topics in Tina Xu's work include Cellular Mechanics and Interactions (7 papers), Cell Adhesion Molecules Research (5 papers) and Mechanical Circulatory Support Devices (2 papers). Tina Xu is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Cell Adhesion Molecules Research (5 papers) and Mechanical Circulatory Support Devices (2 papers). Tina Xu collaborates with scholars based in United States, United Kingdom and China. Tina Xu's co-authors include Richard K. Assoian, Devashish Kothapalli, Paola A. Castagnino, Ellen Puré, Elizabeth A. Hawthorne, Paul A. Janmey, Fitzroy J. Byfield, Yongho Bae, Ilya Levental and Eric A. Klein and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Tina Xu

19 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Tina Xu 590 500 245 226 157 19 1.4k
Staffan Johansson 490 0.8× 674 1.3× 119 0.5× 727 3.2× 82 0.5× 36 1.6k
D Drenckhahn 397 0.7× 697 1.4× 153 0.6× 145 0.6× 165 1.1× 18 1.5k
Stéphanie Pellegrin 604 1.0× 557 1.1× 143 0.6× 118 0.5× 97 0.6× 20 1.3k
Tracey Sciuto 393 0.7× 706 1.4× 98 0.4× 510 2.3× 104 0.7× 22 1.8k
Purva Singh 335 0.6× 442 0.9× 176 0.7× 411 1.8× 61 0.4× 19 1.3k
Douglas P. Dyer 260 0.4× 432 0.9× 102 0.4× 112 0.5× 130 0.8× 29 1.3k
Venkaiah Betapudi 367 0.6× 620 1.2× 93 0.4× 121 0.5× 46 0.3× 21 1.1k
P Laurila 257 0.4× 614 1.2× 66 0.3× 238 1.1× 164 1.0× 37 1.7k
Rita A. Monahan-Earley 139 0.2× 599 1.2× 48 0.2× 201 0.9× 197 1.3× 30 1.7k
Maria C. Kuppner 193 0.3× 686 1.4× 57 0.2× 184 0.8× 64 0.4× 28 1.6k

Countries citing papers authored by Tina Xu

Since Specialization
Citations

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

Fields of papers citing papers by Tina Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Xu

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