Guang Yang

173 total papers · 5.6k total citations
104 papers, 3.0k citations indexed

About

Guang Yang is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Guang Yang has authored 104 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Guang Yang's work include Pancreatic function and diabetes (14 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Hepatitis C virus research (7 papers). Guang Yang is often cited by papers focused on Pancreatic function and diabetes (14 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Hepatitis C virus research (7 papers). Guang Yang collaborates with scholars based in China, United States and Australia. Guang Yang's co-authors include David E. James, Sean J. Humphrey, Danielle Murashige, Daniel J. Fazakerley, Pengyi Yang, Jean Yang, Jacqueline Stöckli, Garnett Kelsoe, Zhengjun Chen and Per‐Olof Berggren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Guang Yang

98 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
Guang Yang 1.6k 508 444 300 264 104 3.0k
Ganesh M. Sathe 1.9k 1.2× 612 1.2× 273 0.6× 140 0.5× 521 2.0× 56 3.3k
Minerva T. Garcia-Barrio 2.4k 1.5× 665 1.3× 581 1.3× 389 1.3× 143 0.5× 64 4.1k
Kun‐Yi Chien 2.0k 1.3× 265 0.5× 399 0.9× 248 0.8× 342 1.3× 73 3.1k
Rory A. Fisher 2.5k 1.5× 266 0.5× 249 0.6× 312 1.0× 401 1.5× 119 4.5k
Ramón Campos‐Olivas 2.0k 1.2× 321 0.6× 382 0.9× 180 0.6× 433 1.6× 62 3.1k
Suzette Moes 1.9k 1.2× 407 0.8× 482 1.1× 328 1.1× 178 0.7× 41 3.2k
Mario Falchi 1.5k 0.9× 473 0.9× 314 0.7× 165 0.6× 492 1.9× 124 3.3k
Maurice Geuskens 2.9k 1.8× 686 1.4× 991 2.2× 289 1.0× 374 1.4× 71 4.3k
Dhirendra P. Singh 2.5k 1.5× 366 0.7× 202 0.5× 356 1.2× 170 0.6× 106 3.6k
Jayantha Gunaratne 1.7k 1.1× 343 0.7× 249 0.6× 445 1.5× 344 1.3× 81 2.9k

Countries citing papers authored by Guang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Yang

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