Myriam Heiman
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 0.5%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Paul GreengardNathaniel HeintzAlexandra E. MünchLaura ClarkeShane A. LiddelowChandrani ChakrabortyBen A. BarresShiaoching Gong
- Topics
- Mitochondrial Function and Pathology (9 papers)Genetic Neurodegenerative Diseases (9 papers)RNA Research and Splicing (8 papers)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Myriam Heiman
35 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.7k
- Cellular and Molecular Neuroscience 1.7k
- Neurology 1.1k
- Physiology 736
- Neurology 713
Countries citing papers authored by Myriam Heiman
This map shows the geographic impact of Myriam Heiman'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 Myriam Heiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myriam Heiman more than expected).
Fields of papers citing papers by Myriam Heiman
This network shows the impact of papers produced by Myriam Heiman. 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 Myriam Heiman. The network helps show where Myriam Heiman may publish in the future.
Co-authorship network of co-authors of Myriam Heiman
This figure shows the co-authorship network connecting the top 25 collaborators of Myriam Heiman. A scholar is included among the top collaborators of Myriam Heiman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Myriam Heiman. Myriam Heiman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | Glycocalyx dysregulation impairs blood–brain barrier in ageing and diseasebreakdown → | 28 |
| 5 | 30 | |
| 6 | Single-cell dissection of the human brain vasculaturebreakdown → | 173 |
| 7 | 9 | |
| 8 | 37 | |
| 9 | 75 | |
| 10 | 30 | |
| 11 | 145 | |
| 12 | 55 | |
| 13 | 119 | |
| 14 | 56 | |
| 15 | 96 | |
| 16 | 225 | |
| 17 | IRE1α Induces Thioredoxin-Interacting Protein to Activate the NLRP3 Inflammasome and Promote Programmed Cell Death under Irremediable ER Stressbreakdown → | 696 |
| 18 | 19 | |
| 19 | Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Typesbreakdown → | 679 |
| 20 | A Translational Profiling Approach for the Molecular Characterization of CNS Cell Typesbreakdown → | 870 |
About Myriam Heiman
Myriam Heiman is a scholar working on Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 36 papers that have together received 5.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Genetic Neurodegenerative Diseases (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Neurology (1.1k citations), Developmental Neuroscience (455 citations) and Cellular and Molecular Neuroscience (1.7k citations). Myriam Heiman has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Paul Greengard, Nathaniel Heintz, Alexandra E. Münch, Laura Clarke, Shane A. Liddelow, Chandrani Chakraborty, Ben A. Barres, Shiaoching Gong, D. James Surmeier and Ruth Kulicke. Their work appears in journals such as Nature, Science and Cell.
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.