Dawei Xuan

1.3k citations
35 papers · 1.1k · h-index 18

Impact in

Papers in

    • Antibiotics Pharmacokinetics and Efficacy 14
    • HER2/EGFR in Cancer Research 8
    • Cancer Treatment and Pharmacology 4
    • Colorectal Cancer Treatments and Studies 3

Dawei Xuan

35 papers receiving 1.0k citations

Peers

Dawei Xuan
Comparison fields: 5 of 99
  • Molecular Medicine 179
  • Pharmacology 316
  • Applied Microbiology and Biotechnology 29
  • Oncology 349
  • Radiology, Nuclear Medicine and Imaging 218
Replace Takashi Niwa with:
Takashi Niwa Japan
M. R. Halie Netherlands
Jennifer L. Hoover United States
Thomas J. Gniadek United States
Yulin Feng China
Gilles Le Naour France
Richard Schwameis Austria
Ravindra Gopaul United States
Po-Hui Wang Taiwan
Martha Yearsley United States
Dawei Xuan relative to Takashi Niwa Japan Takashi Niwa's profile →
Citations per field
00.5×2.6×
Takashi Niwa · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017235
2 1996156
3 202169
4 200262
5 200442
6 201942
7 202040
8 200238
9 200238
10 201737
11 201637
12 200136
13 200230
14 200926
15 201822
16 200121
17 200218
18 200017
19 201615
20 200313

About Dawei Xuan

Dawei Xuan is a scholar working on Pharmacology, Oncology, Epidemiology, Molecular Medicine and Molecular Biology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (14 papers), Antibiotic Resistance in Bacteria (11 papers), Pneumonia and Respiratory Infections (10 papers), HER2/EGFR in Cancer Research (8 papers), Cancer Treatment and Pharmacology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Molecular Medicine (179 citations), Pharmacology (316 citations), Applied Microbiology and Biotechnology (29 citations), Oncology (349 citations) and Radiology, Nuclear Medicine and Imaging (218 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, Joanna C. Masters, Dana J. Nickens, Michael Amantea, Richard Quintiliani, Pamela R. Tessier, C H Nightingale 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 Chemotherapy.

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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