Camelia Quek

5.3k total citations · 2 hit papers
37 papers, 2.5k citations indexed

About

Camelia Quek is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Camelia Quek has authored 37 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 17 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Camelia Quek's work include Cancer Immunotherapy and Biomarkers (17 papers), Immunotherapy and Immune Responses (14 papers) and CAR-T cell therapy research (13 papers). Camelia Quek is often cited by papers focused on Cancer Immunotherapy and Biomarkers (17 papers), Immunotherapy and Immune Responses (14 papers) and CAR-T cell therapy research (13 papers). Camelia Quek collaborates with scholars based in Australia, United States and Vietnam. Camelia Quek's co-authors include Andrew F. Hill, Georgina V. Long, James S. Wilmott, Richard A. Scolyer, Antony W. Burgess, Lahiru Gangoda, Johnson I. Agbinya, Oliver M. Sieber, Agus Salim and Dmitri Mouradov and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer.

In The Last Decade

Camelia Quek

36 papers receiving 2.5k citations

Hit Papers

FunRich: An open access standalone functional enrichment ... 2015 2026 2018 2022 2015 2019 250 500 750

Peers

Camelia Quek
Comparison fields: 5 of 118
  • Molecular Biology 1.3k
  • Oncology 937
  • Immunology 826
  • Cancer Research 582
  • Pulmonary and Respiratory Medicine 254
Replace Nicholas Borcherding with:
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Catharina Hagerling Sweden
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Citations per field, relative to Camelia Quek
Camelia Quek · 1×
Citations per year, relative to Camelia Quek
Camelia Quek · 1×

Countries citing papers authored by Camelia Quek

Since Specialization
Citations

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

Fields of papers citing papers by Camelia Quek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camelia Quek

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 3
4 11
5 6
6 1
7 1
8 0
9 10
10 5
11 17
12 10
13 26
14
Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade breakdown →
412
15 48
16 12
17 108
18 317
19 19
20 17

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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