Ying Chi Ip

401 citations
8 papers · 336 indexed · h-index 7

Impact in

  • Neurology top 10%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Protease and Inhibitor Mechanisms
    • Cancer-related molecular mechanisms research

Papers in

Ying Chi Ip

8 papers receiving 329 citations

Peers

Ying Chi Ip
Comparison fields: 5 of 54
  • Neurology 95
  • Cancer Research 92
  • Hepatology 28
  • Oncology 92
  • Molecular Biology 160
Replace Silvia Sacristán with:
Silvia Sacristán Spain
Dan Ilkovitch United States
Judy Wen United States
Juri Na South Korea
Hidetada Kawana Japan
Lora Zhao United States
Adebowale O. Bamidele United States
Myrna L. Ortiz United States
Bastian Höchst Germany
Ying Chi Ip relative to Silvia Sacristán Spain Silvia Sacristán's profile →
Citations per field
00.5×3.7×
Silvia Sacristán · 1×
Citations per year

Countries citing papers authored by Ying Chi Ip

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chi Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Chi 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 Ying Chi Ip. The network helps show where Ying Chi Ip may publish in the future.

Co-authors

The 24 scholars most cited alongside Ying Chi 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 Ying Chi Ip Line = papers co-authored together Ying Chi Ip links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Association of a single nucleotide polymorphism in the CD209 (DC-SIGN) promoter with SARS severity.
201019
2
Functional role of ICAM-3 polymorphism in genetic susceptibility to SARS infection.
20092
3 200892
4 200754
5 200738
6 20067
7 2005102
8 200222

About Ying Chi Ip

Ying Chi Ip is a scholar working on Neurology, Cancer Research, Oncology, Infectious Diseases and Cell Biology, having authored 8 papers that have together received 336 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Barrier Structure and Function Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Influenza Virus Research Studies (1 paper), Respiratory viral infections research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Neurology (95 citations), Cancer Research (92 citations), Hepatology (28 citations), Oncology (92 citations) and Molecular Biology (160 citations). Ying Chi Ip has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include ST Cheung, Sheung Tat Fan, Jenny Ho, Irene Oi‐Lin Ng, Samuel So, Xin Chen, Dyt Fong, John M. Luk, Tung Yu Tsui and Zhen Yang. Their work appears in journals such as Molecular Carcinogenesis, Neoplasia, Clinical Cancer Research, Molecular Cancer Therapeutics and Hepatology.

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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