Betty Yao

58 total papers · 2.2k total citations
38 papers, 1.4k citations indexed

About

Betty Yao is a scholar working on Molecular Biology, Immunology and Sensory Systems. According to data from OpenAlex, Betty Yao has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Immunology and 11 papers in Sensory Systems. Recurrent topics in Betty Yao's work include Mast cells and histamine (11 papers), Hepatitis C virus research (11 papers) and HIV/AIDS drug development and treatment (10 papers). Betty Yao is often cited by papers focused on Mast cells and histamine (11 papers), Hepatitis C virus research (11 papers) and HIV/AIDS drug development and treatment (10 papers). Betty Yao collaborates with scholars based in United States, United Kingdom and Canada. Betty Yao's co-authors include Timothy A. Esbenshade, Arthur A. Hancock, Kathleen M. Krueger, Jun Chen, Gerard B. Fox, Youssef L. Bennani, A.V. Daza, David G. Witte, Ramin Faghih and Michael D. Meyer and has published in prestigious journals such as Nature Communications, Gastroenterology and Journal of Medicinal Chemistry.

In The Last Decade

Betty Yao

36 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
Betty Yao 587 490 427 403 390 38 1.4k
Jacqueline Naylor 766 1.3× 87 0.2× 634 1.5× 391 1.0× 85 0.2× 34 1.6k
Yoko Fujii 658 1.1× 491 1.0× 596 1.4× 336 0.8× 71 0.2× 58 1.7k
Nieves Rodríguez‐Henche 494 0.8× 75 0.2× 91 0.2× 430 1.1× 136 0.3× 31 1.1k
Allisson Freire Bento 553 0.9× 358 0.7× 67 0.2× 190 0.5× 333 0.9× 25 1.7k
F. Libert 416 0.7× 179 0.4× 277 0.6× 406 1.0× 176 0.5× 29 1.6k
Barry L. Tepperman 472 0.8× 196 0.4× 44 0.1× 351 0.9× 206 0.5× 70 1.6k
Gergő Szanda 882 1.5× 106 0.2× 36 0.1× 312 0.8× 634 1.6× 39 1.8k
Grazia Chiellini 833 1.4× 62 0.1× 97 0.2× 338 0.8× 88 0.2× 47 1.8k
Alessandro Leuti 553 0.9× 388 0.8× 86 0.2× 179 0.4× 317 0.8× 37 1.8k
Cássia Regina Silva 432 0.7× 331 0.7× 307 0.7× 195 0.5× 130 0.3× 46 1.6k

Countries citing papers authored by Betty Yao

Since Specialization
Citations

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

Fields of papers citing papers by Betty Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betty Yao

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