John Concannon

1.4k citations
11 papers · 338 · h-index 10

Impact in

Papers in

    • Signaling Pathways in Disease 1
    • Single-cell and spatial transcriptomics 1
    • Mesenchymal stem cell research 1

John Concannon

11 papers receiving 332 citations

Peers

John Concannon
Comparison fields: 5 of 87
  • Genetics 52
  • Health, Toxicology and Mutagenesis 52
  • Aging 6
  • Neurology 41
  • Molecular Biology 179
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Countries citing papers authored by John Concannon

Since Specialization
Citations

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

Fields of papers citing papers by John Concannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201357
2 200547
3 200944
4 201942
5 202133
6 201828
7 201625
8 201422
9 202020
10
Lowering of amyloid beta peptide production with a small molecule inhibitor of amyloid-β precursor protein dimerization.
201217
11 20153

About John Concannon

John Concannon is a scholar working on Molecular Biology, Genetics, Oncology, Biophysics and Immunology, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Peptidase Inhibition and Analysis (1 paper), MicroRNA in disease regulation (1 paper), Mesenchymal stem cell research (1 paper), Signaling Pathways in Disease (1 paper), Alzheimer's disease research and treatments (1 paper), Single-cell and spatial transcriptomics (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Genetics (52 citations), Health, Toxicology and Mutagenesis (52 citations), Aging (6 citations), Neurology (41 citations) and Molecular Biology (179 citations). John Concannon has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Marcie A. Glicksman, Min Liu, Vincent P. Markowski, Atsushi Ebata, Douglas A. Currie, Marisa S. Feiler, W. Douglas Thompson, Justin D. Boyd, Nava Zaarur and Brian C. Kraemer. Their work appears in journals such as SLAS DISCOVERY, Journal of Biological Chemistry, Scientific Reports, Developmental Cell and NeuroToxicology.

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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