Song Xi

20 total papers · 467 total citations
13 papers, 381 citations indexed

About

Song Xi is a scholar working on Organic Chemistry, Pharmacology and Inorganic Chemistry. According to data from OpenAlex, Song Xi has authored 13 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 5 papers in Pharmacology and 4 papers in Inorganic Chemistry. Recurrent topics in Song Xi's work include Organophosphorus compounds synthesis (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (4 papers). Song Xi is often cited by papers focused on Organophosphorus compounds synthesis (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Synthesis and characterization of novel inorganic/organometallic compounds (4 papers). Song Xi collaborates with scholars based in China, United States and South Korea. Song Xi's co-authors include John G. Verkade, Cornelis Lensink, L.M. Daniels, Harry Schmidt, Min Zhang, Yang Jiao, Dan Jiang, Qiuyuan Tan, Changhui Zhang and Yang Zhao and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Chemistry.

In The Last Decade

Song Xi

13 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Song Xi	336	123	74	55	25	13	381
Julia B. Lingnau	262 0.8×	111 0.9×	150 2.0×	62 1.1×	30 1.2×	16	436
Henricus J. R. de Boer	298 0.9×	107 0.9×	50 0.7×	23 0.4×	49 2.0×	21	360
Nikhil Taxak	178 0.5×	79 0.6×	96 1.3×	105 1.9×	26 1.0×	14	336
Georgia Law Carroll	246 0.7×	88 0.7×	78 1.1×	15 0.3×	35 1.4×	11	342
Lorenzo D’Amore	166 0.5×	98 0.8×	159 2.1×	82 1.5×	42 1.7×	10	376
Cathy C. Johnson	251 0.7×	175 1.4×	102 1.4×	35 0.6×	92 3.7×	11	427
Richard J. Pariza	287 0.9×	63 0.5×	87 1.2×	16 0.3×	67 2.7×	17	427
Susan Lühr	268 0.8×	140 1.1×	73 1.0×	9 0.2×	22 0.9×	18	340
Michael G. Silvestri	264 0.8×	59 0.5×	89 1.2×	11 0.2×	34 1.4×	15	347
Elmer R. Trumbull	275 0.8×	45 0.4×	120 1.6×	27 0.5×	24 1.0×	14	428

Countries citing papers authored by Song Xi

Since Specialization

Citations

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

Fields of papers citing papers by Song Xi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Xi

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