Runan Yao

6.8k total citations · 2 hit papers
10 papers, 3.7k citations indexed

About

Runan Yao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Agronomy and Crop Science. According to data from OpenAlex, Runan Yao has authored 10 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Electrical and Electronic Engineering and 3 papers in Agronomy and Crop Science. Recurrent topics in Runan Yao's work include Reproductive Physiology in Livestock (3 papers), Energy Harvesting in Wireless Networks (2 papers) and Reproductive System and Pregnancy (2 papers). Runan Yao is often cited by papers focused on Reproductive Physiology in Livestock (3 papers), Energy Harvesting in Wireless Networks (2 papers) and Reproductive System and Pregnancy (2 papers). Runan Yao collaborates with scholars based in United States, China and South Korea. Runan Yao's co-authors include Xijin Ge, Dongmin Jung, Eun Son, Wei Wang, Yi Qian, Honggang Wang, George A. Perry, Robert A. Cushman, Jiayi Huang and Yong Bai and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Biology of Reproduction.

In The Last Decade

Runan Yao

10 papers receiving 3.7k citations

Hit Papers

ShinyGO: a graphical gene-set enrichment tool for animals... 2018 2026 2020 2023 2019 2018 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Runan Yao United States 7 1.9k 651 483 422 411 10 3.7k
Dongmin Jung South Korea 10 1.6k 0.8× 532 0.8× 318 0.7× 349 0.8× 352 0.9× 16 3.0k
Vered Chalifa‐Caspi Israel 32 2.4k 1.3× 548 0.8× 598 1.2× 358 0.8× 857 2.1× 86 4.5k
Uku Raudvere Estonia 4 2.2k 1.2× 378 0.6× 461 1.0× 515 1.2× 639 1.6× 4 3.9k
Dustin Ebert United States 6 2.9k 1.5× 564 0.9× 455 0.9× 541 1.3× 660 1.6× 8 4.7k
Hao Jiang United States 37 2.9k 1.5× 446 0.7× 532 1.1× 417 1.0× 304 0.7× 83 4.8k
Ivan Kuzmin Estonia 6 2.4k 1.2× 379 0.6× 486 1.0× 532 1.3× 714 1.7× 9 4.1k
Cory Brouwer United States 17 1.5k 0.8× 565 0.9× 291 0.6× 349 0.8× 378 0.9× 40 2.8k
Francisco García‐García Spain 31 1.7k 0.9× 526 0.8× 257 0.5× 455 1.1× 686 1.7× 109 3.5k
José A. Dianes United Kingdom 8 3.2k 1.7× 494 0.8× 475 1.0× 301 0.7× 391 1.0× 11 5.0k
Xuemin Zhang China 36 2.4k 1.3× 992 1.5× 644 1.3× 365 0.9× 283 0.7× 145 4.2k

Countries citing papers authored by Runan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Runan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Runan Yao. A scholar is included among the top collaborators of Runan 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 Runan Yao. Runan Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Cushman, Robert A., et al.. (2021). Influence of conceptus presence and preovulatory estradiol exposure on uterine gene transcripts and proteins around maternal recognition of pregnancy in beef cattle. Molecular and Cellular Endocrinology. 540. 111508–111508. 7 indexed citations
3.
Cushman, Robert A., et al.. (2021). Influence of estradiol on bovine trophectoderm and uterine gene transcripts around maternal recognition of pregnancy. Biology of Reproduction. 105(2). 381–392. 11 indexed citations
4.
Ge, Xijin, Dongmin Jung, & Runan Yao. (2019). ShinyGO: a graphical gene-set enrichment tool for animals and plants. Bioinformatics. 36(8). 2628–2629. 2659 indexed citations breakdown →
5.
Ge, Xijin, Eun Son, & Runan Yao. (2018). iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data. BMC Bioinformatics. 19(1). 534–534. 985 indexed citations breakdown →
6.
Yao, Runan, et al.. (2014). Competition-Based Device-to-Device Transmission Scheduling to Support Wireless Cloud Multimedia Communications. International Journal of Distributed Sensor Networks. 10(3). 869514–869514. 1 indexed citations
7.
Yao, Runan, et al.. (2013). Quality-Driven Energy-Neutralized Power and Relay Selection for Smart Grid Wireless Multimedia Sensor Based IoTs. IEEE Sensors Journal. 13(10). 3637–3644. 31 indexed citations
8.
Yao, Runan, Wei Wang, K. Sohraby, et al.. (2012). A Weight-Optimized Source Rate Optimization approach in Energy Harvesting Wireless Sensor Networks. 1789–1793. 6 indexed citations
9.
Li, Min, Zihua Guo, Runan Yao, & Wenwu Zhu. (2006). A Novel Penalty Controllable Dynamic Voltage Scaling Scheme for Mobile Multimedia Applications. IEEE Transactions on Mobile Computing. 5(12). 1719–1733. 2 indexed citations
10.
Huang, Jiayi, et al.. (2003). Performance of a mixed-traffic CDMA2000 wireless network with scalable streaming video. IEEE Transactions on Circuits and Systems for Video Technology. 13(10). 973–981. 8 indexed citations

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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