Wu-Pu Lin

5 papers receiving 375 citations

Wu-Pu Lin's Hit Papers

Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials 2021 · 216 citations
2160+1+3Years since publication50100150200

Peers

Wu-Pu Lin
Comparison fields: 5 of 87
  • Applied Microbiology and Biotechnology 23
  • Molecular Medicine 51
  • Infectious Diseases 162
  • Neurology 59
  • Clinical Biochemistry 19
Replace Arash Seifi with:
Arash Seifi Iran
Denise van Hout Netherlands
Nadine Yared Lebanon
Nicholas Geremia Italy
Zeynep Türe Türkiye
Dilshad Jahan Bangladesh
Hisham Momattin Saudi Arabia
Marcella Sibani Italy
Mazhuvancherry Kesavan Unnikrishnan India
Edith Safran Switzerland
Wu-Pu Lin relative to Arash Seifi Iran Arash Seifi's profile →
Citations per field
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Arash Seifi · 1×
Citations per year

Countries citing papers authored by Wu-Pu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wu-Pu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials
Hit paper breakdown →
2021216
2 202066
3 201650
4 201929
5 201723

About Wu-Pu Lin

Wu-Pu Lin is a scholar working on Molecular Medicine, Infectious Diseases, Emergency Medical Services, Epidemiology and Neurology, having authored 5 papers that have together received 384 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (2 papers), COVID-19 Clinical Research Studies (2 papers), Central Venous Catheters and Hemodialysis (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), Long-Term Effects of COVID-19 (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (23 citations), Molecular Medicine (51 citations), Infectious Diseases (162 citations), Neurology (59 citations) and Clinical Biochemistry (19 citations). Wu-Pu Lin has collaborated with scholars based in Taiwan, United Arab Emirates and Mexico. Frequent co-authors include Shan‐Chwen Chang, Jann‐Tay Wang, Yee‐Chun Chen, Yu‐Shan Huang, Tsai‐Ling Lauderdale, Chang‐Phone Fung, Yih‐Ru Shiau, Huiying Wang, Yao-Shen Chen and Jui‐Fen Lai. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Infectious Diseases, Journal of Microbiology Immunology and Infection and Nature Communications.

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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