Ying Yao

36 total papers · 583 total citations
23 papers, 481 citations indexed

About

Ying Yao is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Ying Yao has authored 23 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Genetics. Recurrent topics in Ying Yao's work include Renal and related cancers (7 papers), Tuberous Sclerosis Complex Research (6 papers) and Genetic and Kidney Cyst Diseases (5 papers). Ying Yao is often cited by papers focused on Renal and related cancers (7 papers), Tuberous Sclerosis Complex Research (6 papers) and Genetic and Kidney Cyst Diseases (5 papers). Ying Yao collaborates with scholars based in United States, China and Oman. Ying Yao's co-authors include Dennis D. Black, Song Lu, Hartmut Kleinert, Ulrich Förstermann, Xiangying Cheng, Elisa Tedeschi, Hisanori Suzuki, Marta Menegazzi, Charles M. Mansbach and John J. Bissler and has published in prestigious journals such as Journal of Biological Chemistry, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Ying Yao

22 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
Ying Yao 194 103 99 75 62 23 481
E Tria 286 1.5× 93 0.9× 67 0.7× 61 0.8× 52 0.8× 14 514
Carla Guzmán 200 1.0× 74 0.7× 87 0.9× 84 1.1× 38 0.6× 30 528
Michalis D. Mantzaris 178 0.9× 46 0.4× 94 0.9× 56 0.7× 38 0.6× 18 515
Shudong Liu 270 1.4× 98 1.0× 87 0.9× 96 1.3× 23 0.4× 21 513
Ruyuan Deng 241 1.2× 61 0.6× 78 0.8× 59 0.8× 25 0.4× 17 456
Manford D. Morris 179 0.9× 192 1.9× 52 0.5× 173 2.3× 56 0.9× 19 541
Tsung-Ying Shen 210 1.1× 93 0.9× 65 0.7× 55 0.7× 56 0.9× 12 541
Gabriele Mocciaro 166 0.9× 43 0.4× 100 1.0× 69 0.9× 64 1.0× 22 445
Shigeru Kurooka 219 1.1× 92 0.9× 39 0.4× 96 1.3× 38 0.6× 25 497
Sahar E. El-Swefy 83 0.4× 71 0.7× 80 0.8× 57 0.8× 23 0.4× 26 518

Countries citing papers authored by Ying Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yao

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