Hai‐Xia Song

8 papers and 455 indexed citations i.

About

Hai‐Xia Song is a scholar working on Organic Chemistry, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Hai‐Xia Song has authored 8 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 6 papers in Pharmaceutical Science and 2 papers in Molecular Biology. Recurrent topics in Hai‐Xia Song’s work include Fluorine in Organic Chemistry (6 papers), Catalytic Cross-Coupling Reactions (3 papers) and Catalytic C–H Functionalization Methods (3 papers). Hai‐Xia Song is often cited by papers focused on Fluorine in Organic Chemistry (6 papers), Catalytic Cross-Coupling Reactions (3 papers) and Catalytic C–H Functionalization Methods (3 papers). Hai‐Xia Song collaborates with scholars based in China. Hai‐Xia Song's co-authors include Cheng‐Pan Zhang, Chenglong Zhao, Shi‐Meng Wang, Zeyu Tian, Xiaoyan Wang, Hua‐Li Qin, Ji‐Chang Xiao, Xin Jiang, Jing Yang and Ying Gao and has published in prestigious journals such as Chemical Communications, Green Chemistry and Chemistry - A European Journal.

In The Last Decade

Co-authorship network of co-authors of Hai‐Xia Song i

Fields of papers citing papers by Hai‐Xia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Xia Song. 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 Hai‐Xia Song. The network helps show where Hai‐Xia Song may publish in the future.

Countries citing papers authored by Hai‐Xia Song

Since Specialization
Citations

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

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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