Yuan Lv

26 total papers · 755 total citations
20 papers, 583 citations indexed

About

Yuan Lv is a scholar working on Epidemiology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Yuan Lv has authored 20 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Infectious Diseases and 5 papers in Pharmacology. Recurrent topics in Yuan Lv's work include Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Yuan Lv is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Antibiotic Resistance in Bacteria (5 papers). Yuan Lv collaborates with scholars based in China, Germany and United States. Yuan Lv's co-authors include Yun Li, Jianzhong Shen, Yang Wang, Tao He, Štefan Schwarz, Rong Zhang, Jiachang Cai, Jun Li, Congming Wu and Qin Zhao and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Yuan Lv

19 papers receiving 581 citations

Hit Papers

A novel gene, optrA, that... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yuan Lv 393 221 220 193 97 20 583
Y. Abbott 421 1.1× 132 0.6× 243 1.1× 275 1.4× 76 0.8× 17 671
Rafael Ríos 273 0.7× 275 1.2× 142 0.6× 155 0.8× 109 1.1× 37 590
Feng-Jui Chen 280 0.7× 220 1.0× 290 1.3× 157 0.8× 125 1.3× 35 615
Ole Heltberg 367 0.9× 125 0.6× 183 0.8× 146 0.8× 147 1.5× 23 695
Adriana Belas 207 0.5× 312 1.4× 220 1.0× 169 0.9× 118 1.2× 29 690
Carol Webster 188 0.5× 285 1.3× 144 0.7× 164 0.8× 131 1.4× 17 614
Annett Reißig 397 1.0× 123 0.6× 319 1.4× 208 1.1× 48 0.5× 34 596
Torunn Pedersen 242 0.6× 181 0.8× 204 0.9× 124 0.6× 60 0.6× 20 500
Claus Østergaard 249 0.6× 156 0.7× 119 0.5× 155 0.8× 154 1.6× 29 593
Jordy P. M. Coolen 176 0.4× 178 0.8× 225 1.0× 124 0.6× 109 1.1× 26 597

Countries citing papers authored by Yuan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Lv

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