Jing‐Xing Gao

2.2k total citations · 2 hit papers
49 papers, 1.8k citations indexed

About

Jing‐Xing Gao is a scholar working on Inorganic Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jing‐Xing Gao has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Inorganic Chemistry, 28 papers in Biomedical Engineering and 18 papers in Molecular Biology. Recurrent topics in Jing‐Xing Gao's work include Asymmetric Hydrogenation and Catalysis (37 papers), Surface Chemistry and Catalysis (27 papers) and Chemical Synthesis and Analysis (18 papers). Jing‐Xing Gao is often cited by papers focused on Asymmetric Hydrogenation and Catalysis (37 papers), Surface Chemistry and Catalysis (27 papers) and Chemical Synthesis and Analysis (18 papers). Jing‐Xing Gao collaborates with scholars based in China, Japan and Hong Kong. Jing‐Xing Gao's co-authors include Yanyun Li, Takao Ikariya, Weiyi Shen, Shen-Luan Yu, Ryōji Noyori, Zhen‐Rong Dong, Jiangshan Chen, Baozhu Li, Huilin Wan and Yan Xing and has published in prestigious journals such as Accounts of Chemical Research, Langmuir and Chemical Communications.

In The Last Decade

Jing‐Xing Gao

48 papers receiving 1.8k citations

Hit Papers

Iron-, Cobalt-, and Nicke... 1996 2026 2006 2016 2015 1996 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Xing Gao China 19 1.6k 1.1k 712 441 358 49 1.8k
S.E. Clapham Canada 5 1.6k 1.0× 1.0k 1.0× 591 0.8× 290 0.7× 528 1.5× 5 1.7k
James A. Ramsden United Kingdom 19 891 0.6× 966 0.9× 320 0.4× 288 0.7× 138 0.4× 33 1.4k
Hirohito Ooka Japan 10 1.1k 0.7× 712 0.7× 624 0.9× 306 0.7× 202 0.6× 13 1.5k
Jeroen A. F. Boogers Netherlands 16 1.1k 0.7× 1.0k 1.0× 439 0.6× 444 1.0× 120 0.3× 22 1.5k
C. J. ELSEVIER Netherlands 9 735 0.5× 758 0.7× 254 0.4× 149 0.3× 198 0.6× 12 1.1k
Dmitry A. Valyaev France 22 807 0.5× 1.1k 1.0× 158 0.2× 118 0.3× 288 0.8× 58 1.4k
Antonio Pizzano Spain 22 964 0.6× 1.1k 1.0× 286 0.4× 257 0.6× 124 0.3× 49 1.2k
Andrés Suárez Spain 23 833 0.5× 1.3k 1.2× 205 0.3× 189 0.4× 176 0.5× 45 1.5k
I.J. Munslow United Kingdom 18 793 0.5× 1.0k 1.0× 147 0.2× 108 0.2× 160 0.4× 30 1.2k
Huiguang Dai United States 9 657 0.4× 557 0.5× 200 0.3× 82 0.2× 284 0.8× 12 889

Countries citing papers authored by Jing‐Xing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Xing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Xing Gao

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

All Works

20 of 20 papers shown
1.
Gao, Jing‐Xing, et al.. (2025). DFT-ML-Based Property Prediction of Transition Metal Complex Photosensitizers for Photodynamic Therapy. ACS Omega. 10(44). 53447–53459.
3.
Gao, Jing‐Xing, Ziqing Guo, Linlin Liu, Yachao Dong, & Jian Du. (2024). Integrated batch production planning and scheduling optimization considering processing time uncertainty. Optimization and Engineering. 25(4). 2369–2400. 1 indexed citations
4.
Li, Zhiwen, et al.. (2022). Hydrosilylation of ketones catalyzed by novel four-coordinate copper(I) complexes under mild conditions. Tetrahedron Letters. 97. 153798–153798. 6 indexed citations
5.
Zhang, Wenjing, Weiyi Shen, Zhe Wang, et al.. (2018). Highly enantioselective reduction of ketones in air catalyzed by Rh-based macrocycles. Catalysis Communications. 119. 153–158. 6 indexed citations
6.
Zhang, Dong, et al.. (2016). Enantioselective Hydrogenation of Ketones Catalyzed by Chiral Cobalt Complexes Containing PNNP Ligand. Asian Journal of Organic Chemistry. 5(11). 1323–1326. 42 indexed citations
7.
Meng, Tao, et al.. (2016). Novel chiral multidentate P 3 N 4 -type ligand for asymmetric transfer hydrogenation of aromatic ketones. Chinese Chemical Letters. 28(1). 97–100. 7 indexed citations
8.
Yu, Shen-Luan, et al.. (2011). Novel Chiral PNNP-Ru Complexes: Synthesis and Application in Asymmetric Transfer Hydrogenation of Ketones. 27(2). 170–173. 1 indexed citations
9.
Zhang, Xueqin, et al.. (2009). Asymmetric transfer hydrogenation of aromatic ketones with chiral diamino-thiophene/iridium catalyst systems. Journal of Molecular Catalysis A Chemical. 307(1-2). 149–153. 11 indexed citations
10.
Li, Yanyun, Zhen‐Rong Dong, & Jing‐Xing Gao. (2009). ChemInform Abstract: Chiral PNNP Ligands: Synthesis, Coordination Chemistry and Asymmetric Catalysis. ChemInform. 40(41). 1 indexed citations
11.
Li, Yanyun, et al.. (2004). A new efficient chiral iridium catalyst for asymmetric transfer hydrogenation of ketones. Journal of Molecular Catalysis A Chemical. 218(2). 153–156. 32 indexed citations
12.
Zhang, Hui, Yanyun Li, Jing‐Xing Gao, et al.. (2002). Highly efficient chiral metal cluster systems derived from Ru3(CO)12 and chiral diiminodiphosphines for the asymmetric transfer hydrogenation of ketones. Chemical Communications. 142–143. 73 indexed citations
13.
Gao, Jing‐Xing, et al.. (2001). Preparation and use of polymer‐supported chiral ruthenium complex catalyst. Polymers for Advanced Technologies. 12(11-12). 716–719. 7 indexed citations
14.
Gao, Jing‐Xing, Hui Zhang, Xiaodong Yi, et al.. (2000). New chiral catalysts for reduction of ketones. Chirality. 12(5-6). 383–388. 86 indexed citations
15.
Gao, Jing‐Xing, et al.. (1999). Hydrogenation and hydroformylation of olefins with water-soluble Ru3(CO)9(TPPMS)3 catalyst. Journal of Molecular Catalysis A Chemical. 147(1-2). 99–104. 14 indexed citations
16.
Gao, Jing‐Xing, et al.. (1999). New chiral cationic rhodium–aminophosphine complexes for asymmetric transfer hydrogenation of aromatic ketones. Journal of Organometallic Chemistry. 592(2). 290–295. 63 indexed citations
17.
Gao, Jing‐Xing, Xiaodong Yi, Hui Zhang, et al.. (1999). Asymmetric transfer hydrogenation of prochiral ketones catalyzed by chiral ruthenium complexes with aminophosphine ligands. Journal of Molecular Catalysis A Chemical. 147(1-2). 105–111. 33 indexed citations
19.
Gao, Jing‐Xing, Takao Ikariya, & Ryōji Noyori. (1996). A Ruthenium(II) Complex with a C2-Symmetric Diphosphine/Diamine Tetradentate Ligand for Asymmetric Transfer Hydrogenation of Aromatic Ketones. Organometallics. 15(4). 1087–1089. 314 indexed citations breakdown →
20.
Gao, Jing‐Xing, Huilin Wan, & Wai‐Kwok Wong. (1995). Synthesis and Catalytic Activity of Ru(OAc)2(Ph3P)(dppm) and Ru(OAc)2(dppm)2. Chinese Journal of Applied Chemistry. 12(3). 5–8. 1 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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