Han‐Ping Wu

4.1k citations
158 papers · 2.9k · h-index 29

Impact in

    • Appendicitis Diagnosis and Management
    • Cardiac Arrest and Resuscitation
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Appendicitis Diagnosis and Management 14
    • Cardiac Arrest and Resuscitation 13
    • Hemodynamic Monitoring and Therapy 7

Han‐Ping Wu

153 papers receiving 2.8k citations

Peers

Han‐Ping Wu
Comparison fields: 5 of 138
  • Emergency Medicine 475
  • Genetics 328
  • Hepatology 134
  • Biomaterials 244
  • Biomedical Engineering 631
Replace Si M. Pham with:
Si M. Pham United States
Paul Kwong Hang Tam Hong Kong
Daizoh Saitoh Japan
Yoshiya Toyoda United States
Maurizio de Martino Italy
Alex G. Cuenca United States
E. Christopher Ellison United States
Adolfo Díez‐Pérez Spain
Maximilian Ackermann Germany
Vibeke Videm Norway
Han‐Ping Wu relative to Si M. Pham United States Si M. Pham's profile →
Citations per field
00.5×1.5×1.9×
Si M. Pham · 1×
Citations per year

Countries citing papers authored by Han‐Ping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Ping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009120
2 2013114
3 2011111
4 2017104
5 2010104
6 200585
7 201480
8 201678
9 201966
10 201865
11 201360
12 200857
13 200957
14 201051
15 201351
16 201248
17 201347
18 200846
19 201346
20 200845

About Han‐Ping Wu

Han‐Ping Wu is a scholar working on Emergency Medicine, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Biomedical Engineering, having authored 158 papers that have together received 2.9k indexed citations. Recurring topics across this work include Appendicitis Diagnosis and Management (14 papers), Cardiac Arrest and Resuscitation (13 papers), Sepsis Diagnosis and Treatment (10 papers), Mesenchymal stem cell research (9 papers), Ultrasound and Hyperthermia Applications (9 papers), Hemodynamic Monitoring and Therapy (7 papers), Cardiac Imaging and Diagnostics (7 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). The work is most often cited by research in Emergency Medicine (475 citations), Genetics (328 citations), Hepatology (134 citations), Biomaterials (244 citations) and Biomedical Engineering (631 citations). Han‐Ping Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Jun Chang, Agata A. Exner, Kang‐Hsi Wu, Tianyi M. Krupka, Luis Solorio, Yan‐Ren Lin, Ching-Tien Peng, Wen‐Chieh Yang, Yu‐Hua Chao and Mao-Jen Lin. Their work appears in journals such as Medicine, Scientific Reports, BioMed Research International, BMC Pediatrics and Frontiers in Pediatrics.

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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