Susan M. Dymecki

10.6k total citations · 2 hit papers
69 papers, 6.2k citations indexed

About

Susan M. Dymecki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Susan M. Dymecki has authored 69 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 14 papers in Endocrine and Autonomic Systems. Recurrent topics in Susan M. Dymecki's work include Receptor Mechanisms and Signaling (12 papers), Developmental Biology and Gene Regulation (12 papers) and Neurotransmitter Receptor Influence on Behavior (11 papers). Susan M. Dymecki is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Developmental Biology and Gene Regulation (12 papers) and Neurotransmitter Receptor Influence on Behavior (11 papers). Susan M. Dymecki collaborates with scholars based in United States, Canada and Italy. Susan M. Dymecki's co-authors include Catherine Branda, Rajeshwar Awatramani, Philippe Soriano, Francis W. Farley, Leta S. Steffen, Jun Chul Kim, Eugene Nattie, Carolyn I. Rodríguez, Benjamin W. Okaty and Russell Ray and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Susan M. Dymecki

69 papers receiving 6.2k citations

Hit Papers

Talking about a Revolution 2000 2026 2008 2017 2004 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan M. Dymecki United States 40 3.4k 1.7k 922 832 700 69 6.2k
Seung Wook Oh United States 15 3.3k 1.0× 1.9k 1.1× 577 0.6× 722 0.9× 1.0k 1.5× 32 6.8k
Linda Madisen United States 27 4.1k 1.2× 2.5k 1.4× 905 1.0× 778 0.9× 1.3k 1.8× 40 8.7k
Theresa A. Zwingman United States 13 3.2k 0.9× 2.2k 1.3× 805 0.9× 427 0.5× 873 1.2× 15 6.3k
Nirao M. Shah United States 32 2.1k 0.6× 1.9k 1.1× 919 1.0× 754 0.9× 583 0.8× 45 6.0k
Hatim A. Zariwala United States 11 2.5k 0.7× 1.9k 1.1× 551 0.6× 454 0.5× 1.4k 2.0× 13 6.0k
Hong Gu China 8 2.5k 0.7× 1.6k 0.9× 549 0.6× 420 0.5× 816 1.2× 16 5.3k
Kazunari Miyamichi Japan 25 2.8k 0.8× 3.3k 1.9× 730 0.8× 577 0.7× 1.9k 2.7× 50 7.9k
Hirotaka James Okano Japan 44 3.8k 1.1× 1.5k 0.9× 534 0.6× 661 0.8× 462 0.7× 156 7.5k
Hitoshi Kawano Japan 42 1.9k 0.5× 2.1k 1.2× 442 0.5× 821 1.0× 300 0.4× 122 4.8k
Irm Hermans‐Borgmeyer Germany 42 4.1k 1.2× 2.7k 1.5× 965 1.0× 272 0.3× 366 0.5× 93 6.9k

Countries citing papers authored by Susan M. Dymecki

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Dymecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Dymecki. 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 Susan M. Dymecki. The network helps show where Susan M. Dymecki may publish in the future.

Co-authorship network of co-authors of Susan M. Dymecki

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Dymecki. A scholar is included among the top collaborators of Susan M. Dymecki 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 Susan M. Dymecki. Susan M. Dymecki 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.
Maddaloni, Giacomo, YoonJeung Chang, Rebecca A. Senft, & Susan M. Dymecki. (2024). Adaptation to photoperiod via dynamic neurotransmitter segregation. Nature. 632(8023). 147–156. 8 indexed citations
2.
Ren, Xiangyu, Shijia Liu, Amandine Virlogeux, et al.. (2023). Identification of an essential spinoparabrachial pathway for mechanical itch. Neuron. 111(11). 1812–1829.e6. 19 indexed citations
3.
Dymecki, Susan M., et al.. (2022). Social Interactions Increase Activation of Vasopressin-Responsive Neurons in the Dorsal Raphe. Neuroscience. 495. 25–46. 5 indexed citations
4.
Huber, Bertrand R., Thor D. Stein, Victor E. Alvarez, et al.. (2021). Altered oligodendroglia and astroglia in chronic traumatic encephalopathy. Acta Neuropathologica. 142(2). 295–321. 28 indexed citations
5.
Gazea, Mary, Giuseppe Di Giovanni, Lief E. Fenno, et al.. (2021). Reciprocal Lateral Hypothalamic and Raphe GABAergic Projections Promote Wakefulness. Journal of Neuroscience. 41(22). 4840–4849. 22 indexed citations
6.
Senft, Rebecca A., et al.. (2021). Neurochemically and Hodologically Distinct Ascending VGLUT3 versus Serotonin Subsystems Comprise the r2-Pet1Median Raphe. Journal of Neuroscience. 41(12). 2581–2600. 14 indexed citations
7.
Rood, Benjamin D., et al.. (2020). Sex-Specific Role for Dopamine Receptor D2 in Dorsal Raphe Serotonergic Neuron Modulation of Defensive Acoustic Startle and Dominance Behavior. eNeuro. 7(6). ENEURO.0202–20.2020. 10 indexed citations
8.
Okaty, Benjamin W., Yasmin Escobedo-Lozoya, YoonJeung Chang, et al.. (2020). A single-cell transcriptomic and anatomic atlas of mouse dorsal raphe Pet1 neurons. eLife. 9. 76 indexed citations
9.
Alekseyenko, Olga V., Yick-Bun Chan, Benjamin W. Okaty, et al.. (2019). Serotonergic Modulation of Aggression in Drosophila Involves GABAergic and Cholinergic Opposing Pathways. Current Biology. 29(13). 2145–2156.e5. 30 indexed citations
10.
11.
Weinhard, Laetitia, Urtė Neniškytė, Augustė Vadišiūtė, et al.. (2017). Sexual dimorphism of microglia and synapses during mouse postnatal development. Developmental Neurobiology. 78(6). 618–626. 76 indexed citations
12.
Santiago‐Sim, Teresa, Xiaoqian Fang, Steven R. DePalma, et al.. (2016). THSD1(Thrombospondin Type 1 Domain Containing Protein 1) Mutation in the Pathogenesis of Intracranial Aneurysm and Subarachnoid Hemorrhage. Stroke. 47(12). 3005–3013. 34 indexed citations
13.
Niederkofler, Vera, Benjamin W. Okaty, Benjamin D. Rood, et al.. (2016). Identification of Serotonergic Neuronal Modules that Affect Aggressive Behavior. Cell Reports. 17(8). 1934–1949. 73 indexed citations
14.
Britz, Olivier, Jingming Zhang, Katja S. Grossmann, et al.. (2015). A genetically defined asymmetry underlies the inhibitory control of flexor–extensor locomotor movements. eLife. 4. e13038–e13038. 95 indexed citations
15.
Espinosa-Medina, Isabel, Christel Picard, Zoubida Chettouh, et al.. (2014). Parasympathetic ganglia derive from Schwann cell precursors. Science. 345(6192). 87–90. 155 indexed citations
16.
Engleka, Kurt A., Lauren J. Manderfield, Rachael D. Brust, et al.. (2012). Islet1 Derivatives in the Heart Are of Both Neural Crest and Second Heart Field Origin. Circulation Research. 110(7). 922–926. 90 indexed citations
17.
Nielsen, Corinne M. & Susan M. Dymecki. (2010). Sonic hedgehog is required for vascular outgrowth in the hindbrain choroid plexus. Developmental Biology. 340(2). 430–437. 63 indexed citations
18.
Kim, Jun Chul, et al.. (2009). Linking Genetically Defined Neurons to Behavior through a Broadly Applicable Silencing Allele. Neuron. 63(3). 305–315. 103 indexed citations
19.
Rodríguez, Carolyn I. & Susan M. Dymecki. (2000). Origin of the Precerebellar System. Neuron. 27(3). 475–486. 123 indexed citations
20.
Kozak, Christine A., Susan M. Dymecki, John E. Niederhuber, & Stephen Desiderio. (1991). Genetic mapping of the gene for a novel tyrosine kinase, Blk, to mouse chromosome 14. Genomics. 9(4). 762–764. 5 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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