Michael Y.K. Leung

2.1k citations
11 papers · 1.6k indexed · 1 hit paper · h-index 6
Topics
interferon and immune responses (3 papers)Cancer Immunotherapy and Biomarkers (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)

In The Last Decade

Michael Y.K. Leung

10 papers receiving 1.6k citations

Hit Papers

STING-Dependent Cytosolic DNA Sensing Mediates Innate Imm...201420262018202220144008001.2k

Peers

Michael Y.K. Leung
Comparison fields: 5 of 73
  • Immunology 1.3k
  • Molecular Biology 602
  • Oncology 563
  • Infectious Diseases 331
  • Cancer Research 135
Replace Laura Hix Glickman with:
Laura Hix Glickman United States
Sandra Van Lint Belgium
Irina Larionova Russia
Ryan Duggan United States
Alycia Gardner United States
Rachel Lubong Sabado United States
Ilaria Grazia Zizzari Italy
Cleo Goyvaerts Belgium
Simona Buccheri Italy
Jan Diekmann Germany
Michael Y.K. Leung relative to Laura Hix Glickman United States Laura Hix Glickman's profile →
Citations per field
00.5×1.5×2.3×
Laura Hix Glickman · 1×
Citations per year

Countries citing papers authored by Michael Y.K. Leung

Since Specialization
Citations

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

Fields of papers citing papers by Michael Y.K. Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Y.K. Leung. 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 Michael Y.K. Leung. The network helps show where Michael Y.K. Leung may publish in the future.

Co-authorship network of co-authors of Michael Y.K. Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Y.K. Leung. A scholar is included among the top collaborators of Michael Y.K. Leung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Y.K. Leung. Michael Y.K. Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Treatment with tocilizumab does not inhibit induction of anti-COVID-19 antibodies in patients with severe SARS-CoV-2 infection
0
2 1
3 24
4
STING-Dependent Cytosolic DNA Sensing Mediates Innate Immune Recognition of Immunogenic Tumorsbreakdown →
1413
5 72
6 1
7 1
8 86
9 5
10 8
11 10

About Michael Y.K. Leung

Michael Y.K. Leung is a scholar working on Immunology, Biotechnology and Infectious Diseases, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (563 citations) and Infectious Diseases (331 citations). Michael Y.K. Leung has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mercedes B. Fuertes, Katherine A. Fitzgerald, Ryan Duggan, Glen N. Barber, Thomas F. Gajewski, Seng‐Ryong Woo, Leticia Corrales, Maria-Luisa Alegre, Stefani Spranger and Ying Wang. Their work appears in journals such as Immunity, The Journal of Immunology and Clinical Cancer Research.

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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