Gao Guo

81 total papers · 2.4k total citations
45 papers, 1.7k citations indexed

About

Gao Guo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Gao Guo has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Genetics. Recurrent topics in Gao Guo's work include Connective tissue disorders research (10 papers), Glioma Diagnosis and Treatment (5 papers) and Aortic Disease and Treatment Approaches (5 papers). Gao Guo is often cited by papers focused on Connective tissue disorders research (10 papers), Glioma Diagnosis and Treatment (5 papers) and Aortic Disease and Treatment Approaches (5 papers). Gao Guo collaborates with scholars based in Germany, United States and China. Gao Guo's co-authors include Peter N. Robinson, Amyn A. Habib, Ke Gong, Wei‐Ting Hwang, Kimmo J. Hatanpaa, Dawen Zhao, Stefan Mundlos, Patrick Booms, Chih‐Yuan Wang and S Ramadoss and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Gao Guo

43 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Gao Guo 726 481 424 305 243 45 1.7k
Tristan R. McKay 1.1k 1.5× 382 0.8× 229 0.5× 158 0.5× 118 0.5× 60 1.8k
Maarten van Dinther 1.6k 2.2× 177 0.4× 393 0.9× 288 0.9× 517 2.1× 43 2.3k
Stephen J. White 1.1k 1.5× 515 1.1× 181 0.4× 303 1.0× 202 0.8× 52 2.1k
Asha Nair 860 1.2× 255 0.5× 322 0.8× 408 1.3× 272 1.1× 60 1.7k
Susan Potter‐Perigo 776 1.1× 232 0.5× 209 0.5× 314 1.0× 141 0.6× 31 2.1k
Isabella T. Tai 783 1.1× 262 0.5× 149 0.4× 330 1.1× 439 1.8× 49 1.9k
Paul Cheng 1.1k 1.6× 235 0.5× 192 0.5× 337 1.1× 332 1.4× 75 2.2k
Claus Holst‐Hansen 608 0.8× 161 0.3× 468 1.1× 747 2.4× 446 1.8× 26 1.8k
Michael J. Flister 755 1.0× 151 0.3× 161 0.4× 229 0.8× 598 2.5× 53 1.6k
Tullio Faraggiana 883 1.2× 260 0.5× 265 0.6× 137 0.4× 622 2.6× 100 2.3k

Countries citing papers authored by Gao Guo

Since Specialization
Citations

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

Fields of papers citing papers by Gao Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Guo

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