Evan Bardot

1.2k citations
11 papers · 678 · 1 hit paper · h-index 9

Impact in

  • Biophysics top 10%
    • Single-cell and spatial transcriptomics
    • Pluripotent Stem Cells Research
    • Congenital heart defects research
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics

Papers in

    • Congenital heart defects research 5
    • Pluripotent Stem Cells Research 4
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Single-cell and spatial transcriptomics 1
    • Tissue Engineering and Regenerative Medicine 2
    • Pancreatic function and diabetes 1

Evan Bardot

11 papers receiving 676 citations

Evan Bardot's Hit Papers

Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis 2021 · 169 citations
1690+1+3Years since publication50100150

Peers

Evan Bardot
Comparison fields: 5 of 74
  • Biophysics 41
  • Molecular Biology 487
  • Oncology 116
  • Cancer Research 58
  • Urology 20
Replace Damian Wollny with:
Damian Wollny Germany
Yumiko Oyamada Japan
Bao Kim Nguyen United States
Chukwuma A. Agu United Kingdom
Shan Sabri United States
Wing Y. Chang Canada
Linda Doan United States
Soeren S. Lienkamp Germany
Nathan A. Mundell United States
Puzheng Zhang Canada
Evan Bardot relative to Damian Wollny Germany Damian Wollny's profile →
Citations per field
00.5×1.5×2.4×
Damian Wollny · 1×
Citations per year

Countries citing papers authored by Evan Bardot

Since Specialization
Citations

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

Fields of papers citing papers by Evan Bardot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis
Hit paper breakdown →
2021169
2 2018122
3 201386
4 202075
5 201763
6 201443
7 201442
8 201435
9 201234
10 20167
11 20172

About Evan Bardot

Evan Bardot is a scholar working on Molecular Biology, Surgery, Oncology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 678 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers), Polyomavirus and related diseases (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Pancreatic function and diabetes (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Biophysics (41 citations), Molecular Biology (487 citations), Oncology (116 citations), Cancer Research (58 citations) and Urology (20 citations). Evan Bardot has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Anna‐Katerina Hadjantonakis, Elena Ezhkova, Carolina N. Perdigoto, Víctor Julián Valdés, Jisheng Zhang, Francis J. Santoriello, Camie W. Chan, Bryce V. Johnson, Peter Backeris and Timothy J. Cashman. Their work appears in journals such as Biomaterials, The EMBO Journal, Developmental Dynamics, Molecular and Cellular Biology and Nature Communications.

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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