Michelle Down

496 citations
7 papers · 414 · h-index 7

Impact in

Papers in

    • Kruppel-like factors research 1
    • vaccines and immunoinformatics approaches 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Hippo pathway signaling and YAP/TAZ 3
    • Zebrafish Biomedical Research Applications 2

Michelle Down

7 papers receiving 408 citations

Peers

Michelle Down
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 217
  • Cell Biology 116
  • Developmental Neuroscience 22
  • Immunology 94
  • Molecular Biology 271
Replace Florian Eckhardt with:
Florian Eckhardt Germany
Adi Minis United States
Sharon Tracy United States
Elisabetta Agostini Italy
М. В. Шепелев Russia
Sacha Kallenbach France
Greg Conway United States
A. Vié France
L. van der Voorn Netherlands
Suresh Marada United States
Michelle Down relative to Florian Eckhardt Germany Florian Eckhardt's profile →
Citations per field
00.5×3.7×
Florian Eckhardt · 1×
Citations per year

Countries citing papers authored by Michelle Down

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Down

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2002148
2 199972
3 199968
4 200248
5
Expression of the Wilms' tumor suppressor gene, WT1, reduces the tumorigenicity of the leukemic cell line M1 in C.B-17 scid/scid mice.
200031
6 199926
7 200521

About Michelle Down

Michelle Down is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Oncology, having authored 7 papers that have together received 414 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), Axon Guidance and Neuronal Signaling (3 papers), T-cell and B-cell Immunology (2 papers), Zebrafish Biomedical Research Applications (2 papers), Immunotherapy and Immune Responses (2 papers), Kruppel-like factors research (1 paper), vaccines and immunoinformatics approaches (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (217 citations), Cell Biology (116 citations), Developmental Neuroscience (22 citations), Immunology (94 citations) and Molecular Biology (271 citations). Michelle Down has collaborated with scholars based in Australia and France. Frequent co-authors include Andy Boyd, Martin Lackmann, Paul F. Alewood, Peter Lock, Simone M. Schoenwaelder, Sabine Wimmer-Kleikamp, David Fitzpatrick, Mirella Dottori, Andreas Hüttmann and Christopher Schmidt. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Cell Science, The International Journal of Developmental Biology and Pathology.

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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