Mats I. Ekstrand

4.7k total citations · 1 hit paper
16 papers, 2.6k citations indexed

About

Mats I. Ekstrand is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Mats I. Ekstrand has authored 16 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Clinical Biochemistry. Recurrent topics in Mats I. Ekstrand's work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Mats I. Ekstrand is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Mats I. Ekstrand collaborates with scholars based in United States, Sweden and South Korea. Mats I. Ekstrand's co-authors include Jeffrey M. Friedman, Aleksandra Trifunović, Dagmar Galter, Nils‐Göran Larsson, Lisa E. Pomeranz, Eva Lindqvist, Zachary A. Knight, Lynn W. Enquist, Denis Burdakov and Richard Boyce and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mats I. Ekstrand

16 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Mitochondrial transcription factor A regulates mtDNA copy number in mammals

2004 716 citations Mats I. Ekstrand Human Molecular Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mats I. Ekstrand United States	14	1.5k	631	480	452	408	16	2.6k
Stuart Nash France	9	1.7k 1.1×	1.9k 2.9×	376 0.8×	218 0.5×	45 0.1×	15	3.2k
Thomas Stroh Canada	29	1.2k 0.8×	1.1k 1.8×	253 0.5×	247 0.5×	44 0.1×	55	2.5k
Yury M. Morozov United States	25	893 0.6×	1.0k 1.6×	459 1.0×	344 0.8×	29 0.1×	47	2.8k
Patrizia D’Adamo Italy	28	1.8k 1.2×	693 1.1×	369 0.8×	43 0.1×	166 0.4×	46	2.9k
Oliver Selbach Germany	19	733 0.5×	539 0.9×	742 1.5×	790 1.7×	38 0.1×	23	2.7k
Kazuyuki Yamada Japan	28	1.1k 0.8×	1.2k 1.9×	429 0.9×	275 0.6×	42 0.1×	54	2.5k
Marie‐Françoise Belin France	37	1.3k 0.8×	1.9k 3.0×	211 0.4×	241 0.5×	37 0.1×	98	3.7k
D. Riché France	27	956 0.6×	2.1k 3.4×	600 1.3×	261 0.6×	59 0.1×	69	3.0k
Simon P. Brooks United Kingdom	30	1.8k 1.2×	1.6k 2.5×	248 0.5×	59 0.1×	69 0.2×	84	3.2k

Countries citing papers authored by Mats I. Ekstrand

Since Specialization

Citations

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

Fields of papers citing papers by Mats I. Ekstrand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mats I. Ekstrand. 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 Mats I. Ekstrand. The network helps show where Mats I. Ekstrand may publish in the future.

Co-authorship network of co-authors of Mats I. Ekstrand

This figure shows the co-authorship network connecting the top 25 collaborators of Mats I. Ekstrand. A scholar is included among the top collaborators of Mats I. Ekstrand 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 Mats I. Ekstrand. Mats I. Ekstrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Ribeiro, Efrain, Alexander R. Nectow, Lisa E. Pomeranz, et al.. (2019). Viral labeling of neurons synaptically connected to nucleus accumbens somatostatin interneurons. PLoS ONE. 14(3). e0213476–e0213476. 12 indexed citations

Pomeranz, Lisa E., et al.. (2017). Gene Expression Profiling with Cre-Conditional Pseudorabies Virus Reveals a Subset of Midbrain Neurons That Participate in Reward Circuitry. Journal of Neuroscience. 37(15). 4128–4144. 40 indexed citations

Nectow, Alexander R., Mats I. Ekstrand, Bianca C. Field, et al.. (2017). Rapid Molecular Profiling of Defined Cell Types Using Viral TRAP. Cell Reports. 19(3). 655–667. 61 indexed citations

Nectow, Alexander R., Mats I. Ekstrand, & Jeffrey M. Friedman. (2015). Molecular characterization of neuronal cell types based on patterns of projection with Retro-TRAP. Nature Protocols. 10(9). 1319–1327. 25 indexed citations

Ekstrand, Mats I., et al.. (2014). Molecular Profiling of Neurons Based on Connectivity. Cell. 157(5). 1230–1242. 101 indexed citations

Domingos, Ana I., Marcelo O. Dietrich, Liu Hon, et al.. (2013). Hypothalamic melanin concentrating hormone neurons communicate the nutrient value of sugar. eLife. 2. e01462–e01462. 120 indexed citations

Jego, Sonia, Stephen D. Glasgow, Carolina Gutierrez Herrera, et al.. (2013). Optogenetic identification of a rapid eye movement sleep modulatory circuit in the hypothalamus. Nature Neuroscience. 16(11). 1637–1643. 303 indexed citations

Knight, Zachary A., Keith Tan, Kıvanç Birsoy, et al.. (2012). Molecular Profiling of Activated Neurons by Phosphorylated Ribosome Capture. Cell. 151(5). 1126–1137. 231 indexed citations

Freyer, Christoph, Chan Bae Park, Mats I. Ekstrand, et al.. (2010). Maintenance of respiratory chain function in mouse hearts with severely impaired mtDNA transcription. Nucleic Acids Research. 38(19). 6577–6588. 31 indexed citations

10.

Ekstrand, Mats I. & Dagmar Galter. (2009). The MitoPark Mouse – An animal model of Parkinson's disease with impaired respiratory chain function in dopamine neurons. Parkinsonism & Related Disorders. 15. S185–S188. 105 indexed citations

11.

Ekstrand, Mats I., Lynn W. Enquist, & Lisa E. Pomeranz. (2008). The alpha-herpesviruses: molecular pathfinders in nervous system circuits. Trends in Molecular Medicine. 14(3). 134–140. 90 indexed citations

12.

Ekstrand, Mats I., Mügen Terzioglu, Dagmar Galter, et al.. (2007). Progressive parkinsonism in mice with respiratory-chain-deficient dopamine neurons. Proceedings of the National Academy of Sciences. 104(4). 1325–1330. 467 indexed citations

13.

Ekstrand, Mats I., et al.. (2005). Mitochondrial DNA polymerase gamma is essential for mammalian embryogenesis. Human Molecular Genetics. 14(13). 1775–1783. 200 indexed citations

14.

Ekstrand, Mats I.. (2004). Mitochondrial transcription factor A regulates mtDNA copy number in mammals. Human Molecular Genetics. 13(9). 935–944. 716 indexed citations breakdown →

15.

Ekstrand, Mats I. & Nils‐Göran Larsson. (2003). Breeding and Genotyping of Tfam Conditional Knockout Mice. Mitochondrial DNA. 197. 391–400. 13 indexed citations

16.

Sørensen, L., Mats I. Ekstrand, Eva Lindqvist, et al.. (2001). Late-Onset Corticohippocampal Neurodepletion Attributable to Catastrophic Failure of Oxidative Phosphorylation in MILON Mice. Journal of Neuroscience. 21(20). 8082–8090. 131 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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