Amelia Au‐Yeung

1.9k citations
7 papers · 343 indexed · 1 hit paper · h-index 5
Topics
Single-cell and spatial transcriptomics (4 papers)Cell Image Analysis Techniques (3 papers)Gene Regulatory Network Analysis (3 papers)

In The Last Decade

Amelia Au‐Yeung

7 papers receiving 335 citations

Hit Papers

Mechanistic convergence of the TIGIT and PD-1 inhibitory ...2022202620232024202250100150200

Peers

Amelia Au‐Yeung
Comparison fields: 5 of 59
  • Immunology 178
  • Oncology 176
  • Molecular Biology 112
  • Biophysics 36
  • Pulmonary and Respiratory Medicine 31
Replace Milad R. Vahid with:
Milad R. Vahid United States
Tasnia Ahmed Australia
Xinsong Chen Sweden
Jack Bibby United States
Max F. Madu Netherlands
Ronald P. Schuyler United States
Jenny Lazarus United States
Florian Schenck Germany
Leigh J. Hodson Australia
Amelia Au‐Yeung relative to Milad R. Vahid United States Milad R. Vahid's profile →
Citations per field
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Milad R. Vahid · 1×
Citations per year

Countries citing papers authored by Amelia Au‐Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Amelia Au‐Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amelia Au‐Yeung. 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 Amelia Au‐Yeung. The network helps show where Amelia Au‐Yeung may publish in the future.

Co-authorship network of co-authors of Amelia Au‐Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Amelia Au‐Yeung. A scholar is included among the top collaborators of Amelia Au‐Yeung 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 Amelia Au‐Yeung. Amelia Au‐Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2
Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8+ T cell responsesbreakdown →
215
3 4
4 52
5 2
6 2
7 63

About Amelia Au‐Yeung

Amelia Au‐Yeung is a scholar working on Biophysics, Immunology and Allergy and Genetics, having authored 7 papers that have together received 343 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Immunology (178 citations), Oncology (176 citations) and Biophysics (36 citations). Amelia Au‐Yeung has collaborated with scholars based in United States, Sweden and Singapore. Frequent co-authors include Chikara Takahashi, William O’Gorman, Karl L. Banta, Thomas D. Wu, Eugene Y. Chiang, Ira Mellman, Enfu Hui, Laëtitia Comps‐Agrar, Eric J. Bennett and Avantika S. Chitre. Their work appears in journals such as Nucleic Acids Research, Immunity and PLoS ONE.

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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