Dawei Xuan

50 total papers · 1.2k total citations
34 papers, 987 citations indexed

About

Dawei Xuan is a scholar working on Pharmacology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Dawei Xuan has authored 34 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 12 papers in Epidemiology and 12 papers in Molecular Medicine. Recurrent topics in Dawei Xuan's work include Antibiotics Pharmacokinetics and Efficacy (15 papers), Antibiotic Resistance in Bacteria (12 papers) and Pneumonia and Respiratory Infections (11 papers). Dawei Xuan is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (15 papers), Antibiotic Resistance in Bacteria (12 papers) and Pneumonia and Respiratory Infections (11 papers). Dawei Xuan collaborates with scholars based in United States, Spain and United Kingdom. Dawei Xuan's co-authors include David P. Nicolau, Charles H. Nightingale, Ronald Shazer, Joanna C. Masters, Michael Amantea, Dana J. Nickens, Richard Quintiliani, Pamela R. Tessier, Myo‐Kyoung Kim and Kalpana B. Patel and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Dawei Xuan

33 papers receiving 947 citations

Author Peers

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

Author Last Decade Papers Cites
Dawei Xuan 351 341 308 227 209 34 987
Carol Gleason 154 0.4× 372 1.1× 128 0.4× 124 0.5× 171 0.8× 43 918
Kashyap Patel 174 0.5× 299 0.9× 254 0.8× 29 0.1× 201 1.0× 43 1.1k
Mallika Lala 496 1.4× 211 0.6× 111 0.4× 43 0.2× 181 0.9× 25 923
Liping Zhang 145 0.4× 149 0.4× 232 0.8× 35 0.2× 362 1.7× 46 1.2k
Montserrat Olona 103 0.3× 92 0.3× 233 0.8× 171 0.8× 40 0.2× 50 1.1k
Lingyun Guo 126 0.4× 63 0.2× 176 0.6× 96 0.4× 95 0.5× 79 973
Huiming Xia 202 0.6× 78 0.2× 94 0.3× 135 0.6× 98 0.5× 29 966
Jiajun Liu 62 0.2× 423 1.2× 230 0.7× 40 0.2× 190 0.9× 40 1.0k
Maria Learoyd 557 1.6× 159 0.5× 124 0.4× 32 0.1× 163 0.8× 25 999
Todd Riccobene 63 0.2× 641 1.9× 335 1.1× 98 0.4× 468 2.2× 50 1.2k

Countries citing papers authored by Dawei Xuan

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Xuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Xuan

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