Myriam Heiman

8.3k total citations · 6 hit papers
36 papers, 5.4k citations indexed

About

Myriam Heiman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Myriam Heiman has authored 36 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Myriam Heiman's work include Mitochondrial Function and Pathology (9 papers), Genetic Neurodegenerative Diseases (9 papers) and RNA Research and Splicing (8 papers). Myriam Heiman is often cited by papers focused on Mitochondrial Function and Pathology (9 papers), Genetic Neurodegenerative Diseases (9 papers) and RNA Research and Splicing (8 papers). Myriam Heiman collaborates with scholars based in United States, Sweden and France. Myriam Heiman's co-authors include Paul Greengard, Nathaniel Heintz, Laura Clarke, Chandrani Chakraborty, Alexandra E. Münch, Ben A. Barres, Shane A. Liddelow, Shiaoching Gong, D. James Surmeier and Ruth Kulicke and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Myriam Heiman

35 papers receiving 5.4k citations

Hit Papers

Normal aging induces A1-l... 2008 2026 2014 2020 2018 2008 2012 2008 2022 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Normal aging induces A1-like astrocyte reactivity
    2018 899 citations Myriam Heiman et al. Proceedings of the National Academy of Sciences profile →
  2. A Translational Profiling Approach for the Molecular Characterization of CNS Cell Types
    2008 870 citations Myriam Heiman, Anne Schaefer et al. Cell profile →
  3. IRE1α Induces Thioredoxin-Interacting Protein to Activate the NLRP3 Inflammasome and Promote Programmed Cell Death under Irremediable ER Stress
    2012 696 citations Alana G. Lerner, Paurush Praveen et al. Cell Metabolism profile →
  4. Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types
    2008 679 citations Joseph Doyle, Joseph D. Dougherty et al. Cell profile →
  5. Single-cell dissection of the human brain vasculature
    2022 173 citations F. García, Hyeseung Lee et al. Nature profile →
  6. Glycocalyx dysregulation impairs blood–brain barrier in ageing and disease
    2025 28 citations D. Judy Shon, F. García et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Myriam Heiman United States 26 2.7k 1.7k 1.1k 736 713 36 5.4k
Jeffrey N. Savas United States 37 3.9k 1.4× 2.3k 1.4× 1.9k 1.6× 1.0k 1.4× 707 1.0× 94 7.4k
Sebastian Kügler Germany 47 4.1k 1.5× 2.7k 1.6× 1.4k 1.2× 1.3k 1.8× 958 1.3× 124 7.7k
Kumlesh K. Dev Ireland 40 3.0k 1.1× 2.0k 1.2× 695 0.6× 968 1.3× 439 0.6× 97 4.8k
Lijun Xu United States 32 2.5k 0.9× 1.0k 0.6× 1.8k 1.6× 780 1.1× 408 0.6× 63 5.1k
Ype Elgersma Netherlands 50 4.8k 1.7× 2.1k 1.2× 873 0.8× 744 1.0× 735 1.0× 148 8.1k
Moritz J. Rossner Germany 39 2.9k 1.1× 1.5k 0.9× 1.2k 1.1× 617 0.8× 339 0.5× 115 6.1k
Matthias Klugmann Australia 43 3.6k 1.3× 3.3k 2.0× 1.0k 0.9× 878 1.2× 465 0.7× 99 7.4k
Nicole Schaeren‐Wiemers Switzerland 40 2.3k 0.9× 1.6k 0.9× 858 0.8× 580 0.8× 572 0.8× 81 5.2k
Dick Jaarsma Netherlands 39 2.2k 0.8× 1.6k 0.9× 793 0.7× 613 0.8× 1.3k 1.9× 76 4.7k
Minh Dang Nguyen Canada 32 2.5k 0.9× 1.1k 0.6× 1.1k 1.0× 940 1.3× 1.5k 2.2× 70 5.7k

Countries citing papers authored by Myriam Heiman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pena, Izabella A., Ju Shi, Sarah Chang, et al.. (2025). SLC25A38 is required for mitochondrial pyridoxal 5’-phosphate (PLP) accumulation. Nature Communications. 16(1). 978–978. 4 indexed citations
2.
Shon, D. Judy, F. García, Lulin Li, et al.. (2025). Glycocalyx dysregulation impairs blood–brain barrier in ageing and disease. Nature. 639(8056). 985–994. 28 indexed citations breakdown →
3.
Ishikawa, Tomoe, Hyeseung Lee, Byeongjun Lee, et al.. (2025). Brain-wide mapping of immune receptors uncovers a neuromodulatory role of IL-17E and the receptor IL-17RB. Cell. 188(8). 2203–2217.e17. 10 indexed citations
4.
Heiman, Myriam, et al.. (2025). Defining genes and pathways that modify huntingtin CAG repeat somatic instability in vivo. Nature Genetics. 57(2). 281–282.
5.
Pineda, S. Sebastian, Hyeseung Lee, Raleigh M. Linville, et al.. (2024). Single-cell dissection of the human motor and prefrontal cortices in ALS and FTLD. Cell. 187(8). 1971–1989.e16. 30 indexed citations
6.
Matsushima, A., S. Sebastian Pineda, Jill R. Crittenden, et al.. (2023). Transcriptional vulnerabilities of striatal neurons in human and rodent models of Huntington’s disease. Nature Communications. 14(1). 282–282. 30 indexed citations
7.
Gris, Barbara, Satish S. Nair, Mary H. Wertz, et al.. (2021). Shape deformation analysis reveals the temporal dynamics of cell-type-specific homeostatic and pathogenic responses to mutant huntingtin. eLife. 10. 9 indexed citations
8.
Kwon, Jeong-Tae, Changhyeon Ryu, Hyeseung Lee, et al.. (2021). An amygdala circuit that suppresses social engagement. Nature. 593(7857). 114–118. 37 indexed citations
9.
Xu, Huixin, Ryann M. Fame, Cameron Sadegh, et al.. (2021). Choroid plexus NKCC1 mediates cerebrospinal fluid clearance during mouse early postnatal development. Nature Communications. 12(1). 447–447. 75 indexed citations
10.
Wertz, Mary H., S. Sebastian Pineda, Hyeseung Lee, et al.. (2020). Interleukin-6 deficiency exacerbates Huntington’s disease model phenotypes. Molecular Neurodegeneration. 15(1). 29–29. 30 indexed citations
11.
Wertz, Mary H., S. Sebastian Pineda, Hyeseung Lee, et al.. (2020). Genome-wide In Vivo CNS Screening Identifies Genes that Modify CNS Neuronal Survival and mHTT Toxicity. Neuron. 106(1). 76–89.e8. 55 indexed citations
12.
Siciliano, Cody A., Chia-Jung Chang, Xinhong Chen, et al.. (2019). A cortical-brainstem circuit predicts and governs compulsive alcohol drinking. Science. 366(6468). 1008–1012. 119 indexed citations
13.
Sudmant, Peter H., Hyeseung Lee, Daniel Domínguez, Myriam Heiman, & Christopher B. Burge. (2018). Widespread Accumulation of Ribosome-Associated Isolated 3′ UTRs in Neuronal Cell Populations of the Aging Brain. Cell Reports. 25(9). 2447–2456.e4. 56 indexed citations
14.
Li, Zhiying, et al.. (2015). Hypothalamic Amylin Acts in Concert with Leptin to Regulate Food Intake. Cell Metabolism. 22(6). 1059–1067. 96 indexed citations
15.
Fieblinger, Tim, Steven M. Graves, Luke E. Sebel, et al.. (2014). Cell type-specific plasticity of striatal projection neurons in parkinsonism and L-DOPA-induced dyskinesia. Nature Communications. 5(1). 5316–5316. 225 indexed citations
16.
Heiman, Myriam, Adrian Heilbut, Veronica Francardo, et al.. (2014). Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia. Proceedings of the National Academy of Sciences. 111(12). 4578–4583. 85 indexed citations
17.
Lerner, Alana G., Paurush Praveen, Rajarshi Ghosh, et al.. (2012). IRE1α Induces Thioredoxin-Interacting Protein to Activate the NLRP3 Inflammasome and Promote Programmed Cell Death under Irremediable ER Stress. Cell Metabolism. 16(2). 250–264. 696 indexed citations breakdown →
18.
Doyle, Joseph, Joseph D. Dougherty, Myriam Heiman, et al.. (2008). Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types. Cell. 135(4). 749–762. 679 indexed citations breakdown →
19.
Heiman, Myriam, Anne Schaefer, Shiaoching Gong, et al.. (2008). A Translational Profiling Approach for the Molecular Characterization of CNS Cell Types. Cell. 135(4). 738–748. 870 indexed citations breakdown →
20.
Flajolet, Marc, et al.. (2007). Regulation of Alzheimer's disease amyloid-β formation by casein kinase I. Proceedings of the National Academy of Sciences. 104(10). 4159–4164. 157 indexed citations

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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