Dan Wu

5.0k citations
227 papers · 2.6k · 1 hit paper · h-index 24

Impact in

Papers in

Dan Wu

202 papers receiving 2.6k citations

Dan Wu's Hit Papers

Shrinking cities and resource-based economy: The economic restructuring in China's mining cities 2016 · 235 citations
2350+3+6Years since publication50100150200

Peers

Dan Wu
Comparison fields: 5 of 163
  • Infectious Diseases 506
  • Health 171
  • Applied Microbiology and Biotechnology 31
  • Finance 171
  • Urban Studies 93
Replace L. Kumaranayake with:
L. Kumaranayake United Kingdom
Benn Sartorius South Africa
Carol Levin United States
Padam Simkhada United Kingdom
Ramnath Subbaraman United States
Rajesh Kumar India
Pascale Allotey Malaysia
Kent Buse United Kingdom
Neeraj Sood United States
Michael R. Reich United States
Dan Wu relative to L. Kumaranayake United Kingdom L. Kumaranayake's profile →
Citations per field
00.5×4.5×
L. Kumaranayake · 1×
Citations per year

Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Shrinking cities and resource-based economy: The economic restructuring in China's mining cities
Hit paper breakdown →
2016235
2 2012178
3 2014125
4 2016120
5 201494
6 202082
7 201773
8 201654
9 202248
10 201847
11 201843
12 202040
13 201440
14 201936
15 201836
16 201934
17 201732
18 202231
19 202028
20 202028

About Dan Wu

Dan Wu is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Health and Social Psychology, having authored 227 papers that have together received 2.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (45 papers), HIV, Drug Use, Sexual Risk (17 papers), Healthcare Systems and Reforms (8 papers), Bacterial Infections and Vaccines (8 papers), Adolescent Sexual and Reproductive Health (7 papers), Vaccine Coverage and Hesitancy (7 papers), Influenza Virus Research Studies (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Infectious Diseases (506 citations), Health (171 citations), Applied Microbiology and Biotechnology (31 citations), Finance (171 citations) and Urban Studies (93 citations). Dan Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tai Pong Lam, Weiming Tang, Thérèse Hesketh, Sylvia Y. He, Kwok Fai Lam, Tao Zhou, Joseph D. Tucker, Kai Sing Sun, Xudong Zhou and Lin Mao. Their work appears in journals such as BMC Infectious Diseases, BMC Public Health, BMJ Open, China CDC Weekly and Sexual Health.

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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