Xin‐Yang Lv

15 total papers · 534 total citations
10 papers, 453 citations indexed

About

Xin‐Yang Lv is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Xin‐Yang Lv has authored 10 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 3 papers in Molecular Biology and 3 papers in Inorganic Chemistry. Recurrent topics in Xin‐Yang Lv's work include Catalytic C–H Functionalization Methods (7 papers), Quinazolinone synthesis and applications (3 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). Xin‐Yang Lv is often cited by papers focused on Catalytic C–H Functionalization Methods (7 papers), Quinazolinone synthesis and applications (3 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). Xin‐Yang Lv collaborates with scholars based in Spain and China. Xin‐Yang Lv's co-authors include Rubén Martı́n, Roman Abrams, Qi‐Lin Zhou, Jian‐Hua Xie, Chao Fan, Li‐Jun Xiao, Fei Cong, Craig S. Day, Xiaoping Bao and Lan Yang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xin‐Yang Lv

9 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Xin‐Yang Lv	411	117	45	35	29	10	453
Alberto Oppedisano	380 0.9×	90 0.8×	35 0.8×	77 2.2×	31 1.1×	10	495
Frédéric Beltran	388 0.9×	74 0.6×	55 1.2×	59 1.7×	33 1.1×	15	466
Zilong Huang	392 1.0×	49 0.4×	31 0.7×	30 0.9×	12 0.4×	14	420
Yan‐Long Zheng	349 0.8×	137 1.2×	20 0.4×	84 2.4×	28 1.0×	20	409
T. TABUCHI	383 0.9×	97 0.8×	18 0.4×	114 3.3×	35 1.2×	14	470
Lars Rodefeld	433 1.1×	96 0.8×	128 2.8×	39 1.1×	9 0.3×	9	469
Jared W. Rigoli	457 1.1×	164 1.4×	14 0.3×	54 1.5×	8 0.3×	14	512
Wenqing Liao	429 1.0×	56 0.5×	10 0.2×	39 1.1×	13 0.4×	12	502
Björn Rinker	396 1.0×	53 0.5×	17 0.4×	54 1.5×	14 0.5×	10	450
Damien Thévenet	304 0.7×	52 0.4×	32 0.7×	84 2.4×	147 5.1×	10	503

Countries citing papers authored by Xin‐Yang Lv

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Yang Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Yang Lv. 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 Xin‐Yang Lv. The network helps show where Xin‐Yang Lv may publish in the future.

Co-authorship network of co-authors of Xin‐Yang Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Yang Lv. A scholar is included among the top collaborators of Xin‐Yang Lv 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 Xin‐Yang Lv. Xin‐Yang Lv 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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