Han Su

485 citations
16 papers · 373 · h-index 11

Impact in

    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • Advanced Biosensing Techniques and Applications 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Toxin Mechanisms and Immunotoxins 2

Han Su

16 papers receiving 364 citations

Peers

Han Su
Comparison fields: 5 of 80
  • Virology 18
  • Epidemiology 113
  • Immunology 63
  • Parasitology 18
  • Biochemistry 16
Replace Maria Podinovskaia with:
Maria Podinovskaia United Kingdom
Zhennan Zhao China
Hector Aguilar United States
Gunnar T. Dolphin Sweden
Günther Jung Germany
Yoshimi Yamamoto Japan
I. Mori Japan
Egorov Vv Russia
Randi Winsnes Norway
Katalin di Gleria United Kingdom
Han Su relative to Maria Podinovskaia United Kingdom Maria Podinovskaia's profile →
Citations per field
00.5×
Maria Podinovskaia · 1×
Citations per year

Countries citing papers authored by Han Su

Since Specialization
Citations

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

Fields of papers citing papers by Han Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201758
2 198750
3 201748
4 200848
5 201736
6 199327
7 201619
8 202117
9 198817
10 201812
11 199012
12 201910
13 20198
14 20204
15 20154
16 20183

About Han Su

Han Su is a scholar working on Molecular Biology, Immunology, Epidemiology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Virus-based gene therapy research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Legionella and Acanthamoeba research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Virology (18 citations), Epidemiology (113 citations), Immunology (63 citations), Parasitology (18 citations) and Biochemistry (16 citations). Han Su has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Richard J. Courtney, Kağan Kerman, R. Eberle, Shaopei Li, Jacqueline D. Fetherston, Xin Cheng, Tatsuro Endo, Duowen Yang, Wenxia Zhou and Guosheng Chen. Their work appears in journals such as Journal of Virology, Biosensors and Bioelectronics, ChemElectroChem, Biomedicine & Pharmacotherapy and Cancer Letters.

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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