Angela Chan

854 total citations
26 papers, 355 citations indexed

About

Angela Chan is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Angela Chan has authored 26 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Angela Chan's work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Angela Chan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Angela Chan collaborates with scholars based in Canada, United States and Tanzania. Angela Chan's co-authors include Don Morris, Mary Lesperance, Nicole S. Croteau, Doran Ksienski, Emeka K. Enwere, David Fenton, Elaine S. Wai, John B. McIntyre, Janice S. Kwon and Martin Köbel and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Journal of Neurophysiology.

In The Last Decade

Angela Chan

26 papers receiving 351 citations

Peers

Angela Chan
Comparison fields: 5 of 66
  • Oncology 195
  • Pulmonary and Respiratory Medicine 93
  • Cancer Research 78
  • Molecular Biology 72
  • Reproductive Medicine 61
Replace Sotirios Lakis with:
Sotirios Lakis Greece
Erik Škof Slovenia
Jake Jacob United States
Davide Adriano Santeufemia Italy
Laura Mansi France
Olusola Olusesan Faluyi United Kingdom
Domenico Ferraioli France
Zbigniew Kojs Poland
Laura Matteucci Italy
Pierre‐Marie Morice France
Sotirios Lakis Greece View profile →
Citations per field, relative to Angela Chan
Angela Chan · 1×
Citations per year, relative to Angela Chan
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Countries citing papers authored by Angela Chan

Since Specialization
Citations

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

Fields of papers citing papers by Angela Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Chan. A scholar is included among the top collaborators of Angela Chan 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 Angela Chan. Angela Chan 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 5
4 8
5 2
6 9
7 7
8 34
9 1
10 21
11 3
12 16
13 9
14 36
15 7
16 42
17 8
18 44
19 1
20 5

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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