Alice Chan

3.0k citations
42 papers · 1.1k · h-index 18

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immune Response and Inflammation
    • Systemic Lupus Erythematosus Research

Papers in

    • Immunodeficiency and Autoimmune Disorders 9
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Diabetes and associated disorders 5

Alice Chan

41 papers receiving 1.1k citations

Peers

Alice Chan
Comparison fields: 5 of 92
  • Immunology 579
  • Rheumatology 179
  • Behavioral Neuroscience 32
  • Genetics 197
  • Endocrinology, Diabetes and Metabolism 88
Replace Elizabeth Blankenhorn with:
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Alice Chan relative to Elizabeth Blankenhorn United States Elizabeth Blankenhorn's profile →
Citations per field
00.5×5.8×
Elizabeth Blankenhorn · 1×
Citations per year

Countries citing papers authored by Alice Chan

Since Specialization
Citations

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

Fields of papers citing papers by Alice Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alice Chan, 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 Alice Chan Line = papers co-authored together Alice Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004215
2 2004120
3 2014103
4 201572
5 201866
6 202057
7 201656
8 201054
9 198646
10 202135
11 202034
12 201532
13 200429
14 200629
15 201521
16 201720
17 201919
18 201917
19 200814
20 202211

About Alice Chan

Alice Chan is a scholar working on Immunology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Ophthalmology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (9 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (5 papers), Diabetes Management and Research (5 papers), Systemic Lupus Erythematosus Research (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Ocular Diseases and Behçet’s Syndrome (2 papers). The work is most often cited by research in Immunology (579 citations), Rheumatology (179 citations), Behavioral Neuroscience (32 citations), Genetics (197 citations) and Endocrinology, Diabetes and Metabolism (88 citations). Alice Chan has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Edward K. Wakeland, Troy R. Torgerson, Edmund K. Li, Lai‐Shan Tam, Jennifer M. Puck, Paul K.S. Chan, Alex R. Chang, Theodore D. Wachs, Nisha Limaye and Mark S. Anderson. Their work appears in journals such as Journal of Diabetes Science and Technology, The Journal of Experimental Medicine, Journal of Clinical Immunology, Diabetologia and Lara D. Veeken.

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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