Evan Bardot
Impact in
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- Single-cell and spatial transcriptomics
- Pluripotent Stem Cells Research
- Congenital heart defects research
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Biophysics top 10%
Papers in
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- Congenital heart defects research 5
- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Surgery 3
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Anna‐Katerina Hadjantonakis (2 shared papers)Elena Ezhkova (5 shared papers)Víctor Julián Valdés (3 shared papers)Carolina N. Perdigoto (3 shared papers)Jisheng Zhang (2 shared papers)Francis J. Santoriello (2 shared papers)Bryce V. Johnson (1 shared paper)Camie W. Chan (1 shared paper)
- Journals
- The EMBO Journal (1 paper)Nature Biotechnology (1 paper)Nature Communications (1 paper)Biomaterials (1 paper)Development (1 paper)
- Partner nations
- United StatesSwedenHong Kong
In The Last Decade
Evan Bardot
11 papers receiving 739 citations
Evan Bardot's Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 510
- Biophysics 38
- Oncology 116
- Cancer Research 58
- Urology 21
Countries citing papers authored by Evan Bardot
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis Hit paper breakdown → | 2021 | 189 |
| 2 | 2018 | 134 | |
| 3 | 2013 | 94 | |
| 4 | 2020 | 88 | |
| 5 | 2017 | 66 | |
| 6 | 2014 | 45 | |
| 7 | 2014 | 45 | |
| 8 | 2014 | 36 | |
| 9 | 2012 | 35 | |
| 10 | 2016 | 7 | |
| 11 | 2017 | 2 |
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 741 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (2 papers), Polyomavirus and related diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Neuroscience and Neural Engineering (1 paper) and Wind Turbine Control Systems (1 paper). The work is most often cited by research in Molecular Biology (510 citations), Biophysics (38 citations), Oncology (116 citations), Cancer Research (58 citations) and Urology (21 citations). Evan Bardot has collaborated with scholars based in United States, Sweden and Hong Kong. Frequent co-authors include Anna‐Katerina Hadjantonakis, Elena Ezhkova, Víctor Julián Valdés, Carolina N. Perdigoto, Jisheng Zhang, Francis J. Santoriello, Bryce V. Johnson, Camie W. Chan, Ronald A. Li and Patrick K.W. Chan. Their work appears in journals such as The EMBO Journal, Nature Biotechnology, Nature Communications, Biomaterials and Development.
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.