Ge Gao

221 total papers · 4.0k total citations
118 papers, 3.5k citations indexed

About

Ge Gao is a scholar working on Organic Chemistry, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Ge Gao has authored 118 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Organic Chemistry, 36 papers in Materials Chemistry and 18 papers in Spectroscopy. Recurrent topics in Ge Gao's work include Catalytic C–H Functionalization Methods (36 papers), Luminescence and Fluorescent Materials (24 papers) and Catalytic Cross-Coupling Reactions (19 papers). Ge Gao is often cited by papers focused on Catalytic C–H Functionalization Methods (36 papers), Luminescence and Fluorescent Materials (24 papers) and Catalytic Cross-Coupling Reactions (19 papers). Ge Gao collaborates with scholars based in China, United States and Poland. Ge Gao's co-authors include Jingsong You, Jingbo Lan, Dongbing Zhao, Lin Pu, Yinsong Zhao, Ru‐Gang Xie, Wenhai Wang, Fan Yang, Fei Yang and Yang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Ge Gao

114 papers receiving 3.5k citations

Author Peers

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

Author						Papers	Cites
Ge Gao	2.6k	783	486	420	345	118	3.5k
Dian‐Sheng Liu	1.8k 0.7×	827 1.1×	583 1.2×	1.0k 2.4×	342 1.0×	125	3.0k
Dilip K. Maiti	1.6k 0.6×	748 1.0×	677 1.4×	309 0.7×	510 1.5×	156	2.8k
K. T. POTTS	3.2k 1.2×	550 0.7×	238 0.5×	395 0.9×	695 2.0×	187	4.3k
Mingsheng Tang	1.8k 0.7×	555 0.7×	257 0.5×	535 1.3×	247 0.7×	93	2.7k
Can‐Cheng Guo	2.7k 1.0×	1.7k 2.2×	382 0.8×	895 2.1×	516 1.5×	168	4.2k
Mitsuo Okahara	1.6k 0.6×	443 0.6×	842 1.7×	318 0.8×	380 1.1×	174	2.7k
Marco Lucarini	1.6k 0.6×	918 1.2×	397 0.8×	187 0.4×	318 0.9×	119	2.7k
Fang Huang	1.9k 0.7×	932 1.2×	412 0.8×	1.2k 2.8×	363 1.1×	147	3.6k
Bruno Andrioletti	1.6k 0.6×	1.4k 1.8×	653 1.3×	699 1.7×	392 1.1×	87	3.3k
Makoto Okawara	2.9k 1.1×	452 0.6×	192 0.4×	339 0.8×	573 1.7×	269	3.8k

Countries citing papers authored by Ge Gao

Since Specialization

Citations

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

Fields of papers citing papers by Ge Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Gao

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