Michelle Peng

520 citations
10 papers · 381 · h-index 9

Impact in

Papers in

    • Mesenchymal stem cell research 5
    • Epigenetics and DNA Methylation 1
    • Receptor Mechanisms and Signaling 1
    • Hedgehog Signaling Pathway Studies 1

Michelle Peng

10 papers receiving 372 citations

Peers

Michelle Peng
Comparison fields: 5 of 68
  • Genetics 109
  • Behavioral Neuroscience 36
  • Biological Psychiatry 13
  • Urology 23
  • Cognitive Neuroscience 54
Replace Izumi Dobashi with:
Izumi Dobashi Japan
Chia‐Hsin Liao Taiwan
Mohammad Saied Salehi Iran
Sarah LeBlanc United States
Vera Mayo United States
Sareh Pandamooz Iran
Justin E. Hellwinkel United States
Natalia Gorenkova United Kingdom
Zachary D. Fox United States
Dansha He United States
Michelle Peng relative to Izumi Dobashi Japan Izumi Dobashi's profile →
Citations per field
00.5×4.9×
Izumi Dobashi · 1×
Citations per year

Countries citing papers authored by Michelle Peng

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2020106
2 201054
3 201051
4 201049
5 201231
6 201130
7 201127
8 200421
9 202111
10 20101

About Michelle Peng

Michelle Peng is a scholar working on Genetics, Molecular Biology, Social Psychology, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 381 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Neuroendocrine regulation and behavior (2 papers), Ophthalmology and Eye Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Low-power high-performance VLSI design (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Receptor Mechanisms and Signaling (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Genetics (109 citations), Behavioral Neuroscience (36 citations), Biological Psychiatry (13 citations), Urology (23 citations) and Cognitive Neuroscience (54 citations). Michelle Peng has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Aaron W. James, Emily R. Nelson, Michael T. Longaker, George W. Commons, Min Lee, Benjamin M. Wu, Benjamin Lévi, Hae‐Seung Lee, Lucy Bicks and Hirofumi Morishita. Their work appears in journals such as Plastic & Reconstructive Surgery, Stem Cells and Development, Nature Communications, Frontiers in Neural Circuits and PLoS ONE.

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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