Dawei Xuan

33 papers receiving 956 citations

Peers

Dawei Xuan
Comparison fields: 5 of 104
  • Molecular Medicine 209
  • Applied Microbiology and Biotechnology 41
  • Pharmacology 340
  • Oncology 358
  • Radiology, Nuclear Medicine and Imaging 228
Replace Luning Zhuang with:
Luning Zhuang United States
Yifeng Luo China
Mallika Lala United States
Jennifer L. Hoover United States
Feng Lü China
M. R. Halie Netherlands
Richard Schwameis Austria
Thomas J. Gniadek United States
Selda Aydın Belgium
Robin Michelet Germany
Dawei Xuan relative to Luning Zhuang United States Luning Zhuang's profile →
Citations per field
00.5×7.9×
Luning Zhuang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dawei Xuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dawei Xuan Line = papers co-authored together Dawei Xuan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017219
2 1996150
3 202163
4 200255
5 200439
6 201939
7 200237
8 200237
9 202037
10 201732
11 201632
12 200130
13 200228
14 200924
15 200121
16 201820
17 200218
18 201615
19 200013
20 200312

About Dawei Xuan

Dawei Xuan is a scholar working on Pharmacology, Epidemiology, Molecular Medicine, Oncology and Molecular Biology, having authored 34 papers that have together received 994 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (15 papers), Antibiotic Resistance in Bacteria (12 papers), Pneumonia and Respiratory Infections (11 papers), HER2/EGFR in Cancer Research (8 papers), Cancer Treatment and Pharmacology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Analytical Methods in Pharmaceuticals (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Molecular Medicine (209 citations), Applied Microbiology and Biotechnology (41 citations), Pharmacology (340 citations), Oncology (358 citations) and Radiology, Nuclear Medicine and Imaging (228 citations). Dawei Xuan has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include David P. Nicolau, Charles H. Nightingale, Ronald Shazer, Dana J. Nickens, Joanna C. Masters, Michael Amantea, Richard Quintiliani, Pamela R. Tessier, Kalpana B. Patel and Myo‐Kyoung Kim. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Oncology, International Journal of Antimicrobial Agents, Investigational New Drugs and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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