Ann M. Chan

1.2k citations
28 papers · 882 indexed · h-index 13

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

    • Reproductive tract infections research 6
    • Immunotherapy and Immune Responses 3
    • Reproductive System and Pregnancy 2

Ann M. Chan

28 papers receiving 842 citations

Peers

Ann M. Chan
Comparison fields: 5 of 98
  • Genetics 102
  • Microbiology 57
  • Electrical and Electronic Engineering 366
  • Immunology 117
  • Biomedical Engineering 193
Replace Naiyin Wang with:
Naiyin Wang Australia
Benedikt Ziegler Germany
Jaroslaw Jacak Austria
Julien Husson France
Hanwei Wu China
Stephan Stremersch Belgium
Oleg Alekseev United States
Alyssa J. Miller United States
Walter Weichel Germany
Ann M. Chan relative to Naiyin Wang Australia Naiyin Wang's profile →
Citations per field
00.5×5.7×
Naiyin Wang · 1×
Citations per year

Countries citing papers authored by Ann M. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20243
4 20226
5 20206
6 201876
7 201711
8
Paradoxically Decreased Uveitis Susceptibility in PD-L1/L2 Double Knockout Mice
20151
9 201512
10 2014140
11 201347
12 20108
13 200914
14 200910
15 200988
16 200919
17 200711
18 200216
19 20023
20 199336

About Ann M. Chan

Ann M. Chan is a scholar working on Microbiology, Immunology, Transplantation, Ophthalmology and Cancer Research, having authored 28 papers that have together received 882 indexed citations. Recurring topics across this work include Reproductive tract infections research (6 papers), Radio Frequency Integrated Circuit Design (4 papers), Advancements in PLL and VCO Technologies (4 papers), Semiconductor materials and devices (4 papers), Immunotherapy and Immune Responses (3 papers), Reproductive System and Pregnancy (2 papers), Corneal surgery and disorders (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Genetics (102 citations), Microbiology (57 citations), Electrical and Electronic Engineering (366 citations), Immunology (117 citations) and Biomedical Engineering (193 citations). Ann M. Chan has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include A. Zolfaghari, Behzad Razavi, Lynn K. Gordon, Kathleen A. Kelly, Raymond J. Moniz, Ralph D. Levinson, Robert Lanza, Nicholas A. Kouris, Erin A. Kimbrel and Jianlin Chu. Their work appears in journals such as Investigative Ophthalmology & Visual Science, IEEE Journal of Solid-State Circuits, Molecular Cancer Therapeutics, Scientific Reports and Stem Cells and Development.

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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