Han-Ping Huang

15.3k citations
3 papers · 367 · 1 hit paper · h-index 2

Impact in

Papers in

Han-Ping Huang

2 papers receiving 357 citations

Han-Ping Huang's Hit Papers

Relationship Between the ABO Blood Group and the Coronavirus Disease 2019 (COVID-19) Susceptibility 2020 · 357 citations
3570+2+4Years since publication100200300

Peers

Han-Ping Huang
Comparison fields: 5 of 61
  • Hematology 131
  • Infectious Diseases 206
  • Obstetrics and Gynecology 27
  • Neurology 42
  • Modeling and Simulation 13
Replace Veronika Lenz with:
Veronika Lenz Germany
Suzanne Arinsburg United States
Patricia A. R. Brunker United States
Simone De Nitto Italy
Jiantao Dong China
Ekaterini Goudouris Brazil
Raquel Díaz‐Simón Spain
Pavel Trakhtman Russia
Wenqing Le China
Robert Lagier United States
Han-Ping Huang relative to Veronika Lenz Germany Veronika Lenz's profile →
Citations per field
00.5×3.7×
Veronika Lenz · 1×
Citations per year

Countries citing papers authored by Han-Ping Huang

Since Specialization
Citations

This map shows the geographic impact of Han-Ping Huang'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 Huang 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 Huang more than expected).

Fields of papers citing papers by Han-Ping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

3 of 3 papers shown
#Work
1
Relationship Between the ABO Blood Group and the Coronavirus Disease 2019 (COVID-19) Susceptibility
Hit paper breakdown →
2020357
2 202110
3 20220

About Han-Ping Huang

Han-Ping Huang is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Hematology and Genetics, having authored 3 papers that have together received 367 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (1 paper), Blood groups and transfusion (1 paper), Heart Rate Variability and Autonomic Control (1 paper), COVID-19 Clinical Research Studies (1 paper), Diabetes and associated disorders (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). The work is most often cited by research in Hematology (131 citations), Infectious Diseases (206 citations), Obstetrics and Gynecology (27 citations), Neurology (42 citations) and Modeling and Simulation (13 citations). Han-Ping Huang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Jiao Zhao, Zheng Zhang, Ting Liu, Xiangfeng Lu, Li Zhang, Lei Liu, Dongfeng Gu, Yukun Liu, Bin Sun and Peng George Wang. Their work appears in journals such as Annals of Palliative Medicine, Clinical Infectious Diseases and International Journal of Environmental Research and Public 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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