Amanda J. Moore

950 citations
14 papers · 644 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer-related molecular mechanisms research

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 3
    • Cancer-related gene regulation 2
    • Epigenetics and DNA Methylation 1

Amanda J. Moore

14 papers receiving 633 citations

Peers

Amanda J. Moore
Comparison fields: 5 of 76
  • Immunology 326
  • Cancer Research 117
  • Molecular Biology 270
  • Biological Psychiatry 8
  • Health, Toxicology and Mutagenesis 35
Replace Sonya Kamdar with:
Sonya Kamdar United States
Wei-Feng Yen United States
Rongjie Cheng China
Shiny Titus United States
Xiaoyu Qin China
Honghong Zhou China
Satya K. Kota France
Ching-Yeu Liang Switzerland
Qingchun Cai China
Amanda J. Moore relative to Sonya Kamdar United States Sonya Kamdar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amanda J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda J. Moore. 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 Amanda J. Moore. The network helps show where Amanda J. Moore may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017221
2 201781
3 201777
4 201054
5 200748
6 201746
7 201441
8 201116
9 201315
10 201012
11 201812
12 201010
13 20136
14 20175

About Amanda J. Moore

Amanda J. Moore is a scholar working on Immunology, Molecular Biology, Pediatrics, Perinatology and Child Health, Information Systems and Ecology, having authored 14 papers that have together received 644 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (4 papers), Immune Response and Inflammation (3 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Immunology (326 citations), Cancer Research (117 citations), Molecular Biology (270 citations), Biological Psychiatry (8 citations) and Health, Toxicology and Mutagenesis (35 citations). Amanda J. Moore has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Cornelis Murre, B. Paige Lawrence, David L. Wiest, Shawn P. Fahl, Michele K. Anderson, Masatoshi Aida, Aaron N. Chang, Kathleen M. Fisch, Matthew Denholtz and Zhaoren He. Their work appears in journals such as Toxicological Sciences, Immunity, Nature Communications, International Immunology and Immunology and Cell Biology.

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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