Qingwei Luo

100 papers receiving 2.4k citations

Peers

Qingwei Luo
Comparison fields: 5 of 148
  • Endocrinology 456
  • Cellular and Molecular Neuroscience 579
  • Molecular Medicine 156
  • Infectious Diseases 326
  • Molecular Biology 871
Replace Hong Wu with:
Hong Wu China
David M. Kristensen Denmark
Masato Watanabe Japan
Elena Forte Italy
Andrew C. Doxey Canada
Martin Westermann Germany
Fei Chen China
Hongbo Liu China
Ralf B. Schittenhelm Australia
Martin J. Lynch United States
Qingwei Luo relative to Hong Wu China Hong Wu's profile →
Citations per field
00.5×4.1×
Hong Wu · 1×
Citations per year

Countries citing papers authored by Qingwei Luo

Since Specialization
Citations

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

Fields of papers citing papers by Qingwei Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qingwei Luo, 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 Qingwei Luo Line = papers co-authored together Qingwei Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2008119
3 2007112
4 2013104
5 200893
6 201389
7 200768
8 200968
9 201368
10 200768
11 202267
12 201256
13 200553
14 201553
15 202250
16 200850
17 201945
18 201445
19 200944
20 200844

About Qingwei Luo

Qingwei Luo is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Cellular and Molecular Neuroscience and Oncology, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (13 papers), Neuroscience and Neuropharmacology Research (10 papers), HIV/AIDS Research and Interventions (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Global Cancer Incidence and Screening (7 papers), Atmospheric chemistry and aerosols (6 papers), HIV, Drug Use, Sexual Risk (6 papers) and Prostate Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology (456 citations), Cellular and Molecular Neuroscience (579 citations), Molecular Medicine (156 citations), Infectious Diseases (326 citations) and Molecular Biology (871 citations). Qingwei Luo has collaborated with scholars based in United States, Australia and China. Frequent co-authors include James M. Fleckenstein, P. Jeffrey Conn, Colleen M. Niswender, Xue Qin Yu, Dianne L. O’Connell, Alaullah Sheikh, Lee R. Krumholz, David A. Rasko, Jennifer Ayala and Pardeep Kumar. Their work appears in journals such as Infection and Immunity, Cancer Epidemiology, Molecular Pharmacology, Applied and Environmental Microbiology and The Lancet Regional Health - Western Pacific.

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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