Wing-Hang Ip

415 citations
24 papers · 276 · h-index 10

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • interferon and immune responses

Papers in

    • Virus-based gene therapy research 22
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • Ubiquitin and proteasome pathways 4
    • RNA Interference and Gene Delivery 3

Wing-Hang Ip

21 papers receiving 276 citations

Peers

Wing-Hang Ip
Comparison fields: 5 of 39
  • Genetics 181
  • Immunology 69
  • Infectious Diseases 56
  • Oncology 66
  • Molecular Biology 150
Replace Tanner M. Tessier with:
Tanner M. Tessier Canada
Kinjal Majumder United States
Joanna Poutou Spain
Amy Denton United Kingdom
Marlene Carmo United Kingdom
Sarah Kinkley Germany
Chaolong Lin China
Isaac Sipo Germany
Anke Muth Germany
Alexander T. Baker United Kingdom
Wing-Hang Ip relative to Tanner M. Tessier Canada Tanner M. Tessier's profile →
Citations per field
00.5×
Tanner M. Tessier · 1×
Citations per year

Countries citing papers authored by Wing-Hang Ip

Since Specialization
Citations

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

Fields of papers citing papers by Wing-Hang Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing-Hang Ip. 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 Wing-Hang Ip. The network helps show where Wing-Hang Ip may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201939
3 201532
4 201921
5 201819
6 202118
7 201517
8 201616
9 202410
10 20229
11 20216
12 20226
13 20236
14 20226
15 20235
16 20215
17 20255
18 20234
19 20243
20 20232

About Wing-Hang Ip

Wing-Hang Ip is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Infectious Diseases, having authored 24 papers that have together received 276 indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), interferon and immune responses (9 papers), CAR-T cell therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Ubiquitin and proteasome pathways (4 papers), Viral gastroenteritis research and epidemiology (4 papers), RNA Interference and Gene Delivery (3 papers) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Genetics (181 citations), Immunology (69 citations), Infectious Diseases (56 citations), Oncology (66 citations) and Molecular Biology (150 citations). Wing-Hang Ip has collaborated with scholars based in Germany, United Kingdom and Mexico. Frequent co-authors include Thomas Dobner, Luca D. Bertzbach, Ramón A. González, Sabrina Schreiner, Juliane Brun, Ronald T. Hay, Peter Wimmer, Peter Groitl, Thomas Speiseder and Estefanía Rodríguez. Their work appears in journals such as Journal of Virology, Viruses, FEBS Letters, Pharmacological Research and Frontiers in Cellular and Infection Microbiology.

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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