Haode Huang

1.1k citations
9 papers · 566 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 1
    • Long-Term Effects of COVID-19 2

Haode Huang

9 papers receiving 563 citations

Peers

Haode Huang
Comparison fields: 5 of 61
  • Infectious Diseases 433
  • Neurology 135
  • Immunology 141
  • Modeling and Simulation 21
  • Health 24
Replace Mengting Gou with:
Mengting Gou China
Kathleen M. Wragg Australia
Francesca L. Mordant Australia
Nils Methot United States
Helen E. Kent Australia
Yexin Yang United States
Rosa Isela Gálvez United States
Tomer Zohar United States
Joey Ming Er Lim Singapore
Martin Qui Singapore
Haode Huang relative to Mengting Gou China Mengting Gou's profile →
Citations per field
00.5×1.5×
Mengting Gou · 1×
Citations per year

Countries citing papers authored by Haode Huang

Since Specialization
Citations

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

Fields of papers citing papers by Haode Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020352
2 202279
3 201958
4 202219
5 202218
6 202212
7 202010
8 202010
9 20248

About Haode Huang

Haode Huang is a scholar working on Infectious Diseases, Neurology, Oncology, Immunology and Molecular Biology, having authored 9 papers that have together received 566 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), SARS-CoV-2 detection and testing (1 paper), Influenza Virus Research Studies (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Infectious Diseases (433 citations), Neurology (135 citations), Immunology (141 citations), Modeling and Simulation (21 citations) and Health (24 citations). Haode Huang has collaborated with scholars based in Hong Kong, China and New Zealand. Frequent co-authors include Zhiwei Chen, Kwok‐Yung Yuen, Runhong Zhou, Kelvin Kai‐Wang To, Li Liu, Xin Li, Yufei Mo, Wai-Shing Leung, Pauline Yeung and Michael Yik-Chun Wong. Their work appears in journals such as Frontiers in Immunology, EBioMedicine, mBio, Molecular Therapy — Oncolytics 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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