Tianxiu Wang

49 total papers · 566 total citations
24 papers, 408 citations indexed

About

Tianxiu Wang is a scholar working on Experimental and Cognitive Psychology, Physiology and Oncology. According to data from OpenAlex, Tianxiu Wang has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 5 papers in Physiology and 4 papers in Oncology. Recurrent topics in Tianxiu Wang's work include Nutrition and Health in Aging (2 papers), Cancer survivorship and care (2 papers) and Cognitive Functions and Memory (2 papers). Tianxiu Wang is often cited by papers focused on Nutrition and Health in Aging (2 papers), Cancer survivorship and care (2 papers) and Cognitive Functions and Memory (2 papers). Tianxiu Wang collaborates with scholars based in United States, China and Brazil. Tianxiu Wang's co-authors include Mary Ganguli, Beth E. Snitz, Chung‐Chou H. Chang, Tiffany F. Hughes, Felicia Wu, Erin Jacobsen, M. Ilyas Kamboh, Yona Keich Cloonan, Xinbo Gao and Wei Xia and has published in prestigious journals such as PLoS ONE, PEDIATRICS and IEEE Transactions on Image Processing.

In The Last Decade

Tianxiu Wang

20 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Tianxiu Wang 121 84 57 55 49 24 408
Solaphat Hemrungrojn 237 2.0× 69 0.8× 51 0.9× 86 1.6× 28 0.6× 27 475
Lance Macaulay 150 1.2× 170 2.0× 22 0.4× 46 0.8× 14 0.3× 24 480
Monika Dominiak 131 1.1× 22 0.3× 48 0.8× 20 0.4× 24 0.5× 37 392
Jui‐Hsiu Tsai 73 0.6× 43 0.5× 38 0.7× 36 0.7× 33 0.7× 36 380
Robert P. Fellows 168 1.4× 28 0.3× 58 1.0× 92 1.7× 42 0.9× 16 486
Mieke H. J. Schulte 85 0.7× 30 0.4× 86 1.5× 107 1.9× 61 1.2× 21 420
Binod Thapa-Chhetry 55 0.5× 25 0.3× 47 0.8× 115 2.1× 46 0.9× 13 367
Hélène Imbeault 115 1.0× 191 2.3× 28 0.5× 42 0.8× 17 0.3× 16 400
Erica N. Madero 179 1.5× 110 1.3× 40 0.7× 46 0.8× 33 0.7× 24 492
Ana Maia 56 0.5× 25 0.3× 78 1.4× 50 0.9× 42 0.9× 24 384

Countries citing papers authored by Tianxiu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianxiu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxiu Wang

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