Shibo Gao

46 total papers · 614 total citations
38 papers, 411 citations indexed

About

Shibo Gao is a scholar working on Atmospheric Science, Global and Planetary Change and Plant Science. According to data from OpenAlex, Shibo Gao has authored 38 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 5 papers in Plant Science. Recurrent topics in Shibo Gao's work include Meteorological Phenomena and Simulations (20 papers), Climate variability and models (19 papers) and Precipitation Measurement and Analysis (13 papers). Shibo Gao is often cited by papers focused on Meteorological Phenomena and Simulations (20 papers), Climate variability and models (19 papers) and Precipitation Measurement and Analysis (13 papers). Shibo Gao collaborates with scholars based in China, United States and Russia. Shibo Gao's co-authors include Jinzhong Min, Haiqiu Yu, Amy L. Vincent, Tavis K. Anderson, Karin S. Dorman, Alicia Janas-Martindale, Rasna R. Walia, Chao Zhong, Jiale Dong and Xibo Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Shibo Gao

33 papers receiving 403 citations

Author Peers

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

Author Last Decade Papers Cites
Shibo Gao 184 179 114 48 46 38 411
Mohammed Diouri 136 0.7× 110 0.6× 109 1.0× 43 0.9× 53 1.2× 67 415
Qing Sun 83 0.5× 40 0.2× 144 1.3× 11 0.2× 52 1.1× 49 453
Yu Xiao 62 0.3× 22 0.1× 107 0.9× 43 0.9× 65 1.4× 47 426
Ian Grant 81 0.4× 36 0.2× 169 1.5× 20 0.4× 201 4.4× 25 402
Tommaso Orusa 140 0.8× 72 0.4× 30 0.3× 23 0.5× 17 0.4× 18 409
Víctor Granda 258 1.4× 147 0.8× 128 1.1× 4 0.1× 41 0.9× 19 465
Ataollah Ebrahimi‬ 121 0.7× 20 0.1× 94 0.8× 15 0.3× 35 0.8× 51 488
Kai Yang 55 0.3× 41 0.2× 164 1.4× 15 0.3× 93 2.0× 24 467
Shihe Fan 143 0.8× 51 0.3× 159 1.4× 53 1.1× 15 0.3× 21 366
Peng Han 95 0.5× 26 0.1× 56 0.5× 96 2.0× 56 1.2× 27 449

Countries citing papers authored by Shibo Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shibo Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibo Gao

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026