Benjamin M. Siemsen

734 total citations
19 papers, 485 citations indexed

About

Benjamin M. Siemsen is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Benjamin M. Siemsen has authored 19 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Benjamin M. Siemsen's work include Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Benjamin M. Siemsen is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Benjamin M. Siemsen collaborates with scholars based in United States. Benjamin M. Siemsen's co-authors include Michael D. Scofield, Peter W. Kalivas, Jacqueline F. McGinty, Kati L. Healey, Kathryn J. Reissner, Phuong K. Tran, Hao Li, Heather A. Boger, Cassandra D. Gipson and Giuseppe Giannotti and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Biological Psychiatry.

In The Last Decade

Benjamin M. Siemsen

18 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin M. Siemsen United States 12 327 184 148 130 97 19 485
Marian T. Sepulveda-Orengo United States 10 312 1.0× 105 0.6× 137 0.9× 155 1.2× 91 0.9× 12 443
Hyoeun Lee South Korea 6 183 0.6× 172 0.9× 97 0.7× 106 0.8× 47 0.5× 11 444
Brad R. Rocco United States 11 187 0.6× 68 0.4× 143 1.0× 116 0.9× 91 0.9× 13 376
Nofar Ozeri-Engelhard Israel 2 304 0.9× 210 1.1× 78 0.5× 122 0.9× 36 0.4× 2 435
Jessica M. Thanos United States 4 133 0.4× 269 1.5× 133 0.9× 71 0.5× 144 1.5× 6 542
Christa Hercher Canada 7 184 0.6× 170 0.9× 107 0.7× 97 0.7× 239 2.5× 10 545
Michiko Yanagisawa Japan 7 216 0.7× 77 0.4× 143 1.0× 71 0.5× 45 0.5× 7 372
Fabio Longordo Switzerland 12 371 1.1× 84 0.5× 146 1.0× 352 2.7× 46 0.5× 12 686
David Lukacsovich Switzerland 10 209 0.6× 52 0.3× 151 1.0× 128 1.0× 37 0.4× 23 420
Cristina Sánchez‐Puelles Spain 4 156 0.5× 86 0.5× 99 0.7× 93 0.7× 34 0.4× 5 351

Countries citing papers authored by Benjamin M. Siemsen

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin M. Siemsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin M. Siemsen

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

All Works

19 of 19 papers shown
1.
Ea, Tsvetkov, Ethan M. Anderson, D.J. Wood, et al.. (2025). Histone Deacetylase 5 in Prelimbic Prefrontal Cortex Limits Context-Associated Cocaine Seeking. Biological Psychiatry. 99(6). 479–491.
2.
Hughes, Brandon W., Tsvetkov Ea, Benjamin M. Siemsen, et al.. (2024). NPAS4 supports cocaine-conditioned cues in rodents by controlling the cell type-specific activation balance in the nucleus accumbens. Nature Communications. 15(1). 5971–5971. 8 indexed citations
3.
Siemsen, Benjamin M., et al.. (2023). Perirhinal to prefrontal circuit in methamphetamine induced recognition memory deficits. Neuropharmacology. 240. 109711–109711. 5 indexed citations
4.
Hughes, Brandon W., Benjamin M. Siemsen, Tsvetkov Ea, et al.. (2023). NPAS4 in the medial prefrontal cortex mediates chronic social defeat stress-induced anhedonia-like behavior and reductions in excitatory synapses. eLife. 12. 14 indexed citations
6.
Siemsen, Benjamin M., Sarah M. Barry, Lisa M. Green, et al.. (2022). A Subset of Nucleus Accumbens Neurons Receiving Dense and Functional Prelimbic Cortical Input Are Required for Cocaine Seeking. Frontiers in Cellular Neuroscience. 16. 844243–844243. 18 indexed citations
7.
Green, Lisa M., Roger I. Grant, Elizabeth M. Doncheck, et al.. (2022). An opioid-gated thalamoaccumbal circuit for the suppression of reward seeking in mice. Nature Communications. 13(1). 6865–6865. 24 indexed citations
8.
Siemsen, Benjamin M., et al.. (2022). Corticostriatal contributions to dysregulated motivated behaviors in stress, depression, and substance use disorders. Neuroscience Research. 211. 37–48. 4 indexed citations
9.
Kearns, Angela, Benjamin M. Siemsen, Rachel Weber, et al.. (2021). Chemogenetic inhibition of corticostriatal circuits reduces cued reinstatement of methamphetamine seeking. Addiction Biology. 27(1). e13097–e13097. 11 indexed citations
10.
Gipson, Cassandra D., et al.. (2021). Interactions of neuroimmune signaling and glutamate plasticity in addiction. Journal of Neuroinflammation. 18(1). 56–56. 40 indexed citations
11.
Siemsen, Benjamin M., et al.. (2020). Amperometric measurements of cocaine cue and novel context‐evoked glutamate and nitric oxide release in the nucleus accumbens core. Journal of Neurochemistry. 153(5). 599–616. 9 indexed citations
12.
Harrington, Adam J., Stefano Berto, Ahlem Assali, et al.. (2020). MEF2C Hypofunction in Neuronal and Neuroimmune Populations Produces MEF2C Haploinsufficiency Syndrome–like Behaviors in Mice. Biological Psychiatry. 88(6). 488–499. 36 indexed citations
14.
Swartzwelder, H. Scott, et al.. (2020). Enduring alterations in hippocampal astrocytesynaptic proximity following adolescent alcohol exposure: reversal by gabapentin. Neural Regeneration Research. 15(8). 1496–1496. 24 indexed citations
15.
Siemsen, Benjamin M., Carmela M. Reichel, Kah-Chung Leong, et al.. (2019). Effects of Methamphetamine Self-Administration and Extinction on Astrocyte Structure and Function in the Nucleus Accumbens Core. Neuroscience. 406. 528–541. 60 indexed citations
17.
Giannotti, Giuseppe, Sarah M. Barry, Benjamin M. Siemsen, Jamie Peters, & Jacqueline F. McGinty. (2018). Divergent Prelimbic Cortical Pathways Interact with BDNF to Regulate Cocaine-seeking. Journal of Neuroscience. 38(42). 8956–8966. 31 indexed citations
18.
Siemsen, Benjamin M., Paul J. Lombroso, & Jacqueline F. McGinty. (2017). Intra‐prelimbic cortical inhibition of striatal‐enriched tyrosine phosphatase suppresses cocaine seeking in rats. Addiction Biology. 23(1). 219–229. 11 indexed citations
19.
Scofield, Michael D., Hao Li, Benjamin M. Siemsen, et al.. (2016). Cocaine Self-Administration and Extinction Leads to Reduced Glial Fibrillary Acidic Protein Expression and Morphometric Features of Astrocytes in the Nucleus Accumbens Core. Biological Psychiatry. 80(3). 207–215. 130 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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