Koichi Hashikawa

1.6k total citations
19 papers, 955 citations indexed

About

Koichi Hashikawa is a scholar working on Cellular and Molecular Neuroscience, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Koichi Hashikawa has authored 19 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Social Psychology and 8 papers in Cognitive Neuroscience. Recurrent topics in Koichi Hashikawa's work include Neuroendocrine regulation and behavior (9 papers), Memory and Neural Mechanisms (6 papers) and Stress Responses and Cortisol (5 papers). Koichi Hashikawa is often cited by papers focused on Neuroendocrine regulation and behavior (9 papers), Memory and Neural Mechanisms (6 papers) and Stress Responses and Cortisol (5 papers). Koichi Hashikawa collaborates with scholars based in United States, Japan and South Korea. Koichi Hashikawa's co-authors include Yoshiko Hashikawa, Dayu Lin, Annegret L. Falkner, Garret D. Stuber, Robin Tremblay, Bernardo Rudy, James E. Feng, Julieta E. Lischinsky, Walter T. Piper and Jiaxing Zhang and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Koichi Hashikawa

19 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Hashikawa United States 13 411 380 322 245 198 19 955
Elizabeth K. Unger United States 10 378 0.9× 373 1.0× 244 0.8× 515 2.1× 263 1.3× 12 1.3k
Carmen Agustín‐Pavón Spain 19 328 0.8× 421 1.1× 252 0.8× 97 0.4× 308 1.6× 40 1.1k
Teige P. Sheehan United States 10 615 1.5× 299 0.8× 186 0.6× 203 0.8× 147 0.7× 11 1.0k
Annegret L. Falkner United States 10 397 1.0× 234 0.6× 285 0.9× 143 0.6× 114 0.6× 16 746
Katharine L. Campi United States 16 456 1.1× 291 0.8× 196 0.6× 120 0.5× 185 0.9× 16 935
Changjiu Zhao United States 21 376 0.9× 286 0.8× 85 0.3× 130 0.5× 187 0.9× 37 823
José R. Eguibar Mexico 21 355 0.9× 296 0.8× 169 0.5× 126 0.5× 138 0.7× 66 1.0k
Michael Q. Steinman United States 19 567 1.4× 431 1.1× 203 0.6× 182 0.7× 213 1.1× 32 1.4k
Benjamin D. Rood United States 11 354 0.9× 211 0.6× 111 0.3× 182 0.7× 142 0.7× 13 663
Julieta E. Lischinsky United States 11 209 0.5× 326 0.9× 211 0.7× 104 0.4× 222 1.1× 12 780

Countries citing papers authored by Koichi Hashikawa

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Hashikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichi Hashikawa. 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 Koichi Hashikawa. The network helps show where Koichi Hashikawa may publish in the future.

Co-authorship network of co-authors of Koichi Hashikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Hashikawa. A scholar is included among the top collaborators of Koichi Hashikawa 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 Koichi Hashikawa. Koichi Hashikawa 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.
Fleming, Weston, et al.. (2025). Opioid-driven disruption of the septum reveals a role for neurotensin-expressing neurons in withdrawal. Neuron. 113(14). 2325–2343.e9. 1 indexed citations
2.
Hashikawa, Koichi, et al.. (2024). Opto-seq reveals input-specific immediate-early gene induction in ventral tegmental area cell types. Neuron. 112(16). 2721–2731.e5. 10 indexed citations
3.
Ishii, K., Koichi Hashikawa, Charles Zhou, et al.. (2023). Post-ejaculatory inhibition of female sexual drive via heterogeneous neuronal ensembles in the medial preoptic area. eLife. 12. 1 indexed citations
4.
Yin, Luping, Koichi Hashikawa, Yoshiko Hashikawa, et al.. (2022). VMHvllCckar cells dynamically control female sexual behaviors over the reproductive cycle. Neuron. 110(18). 3000–3017.e8. 34 indexed citations
5.
Levinstein, Marjorie R., et al.. (2022). PACAP‐expressing neurons in the lateral habenula diminish negative emotional valence. Genes Brain & Behavior. 21(7). e12801–e12801. 11 indexed citations
6.
Rossi, Mark A., Marcus L. Basiri, Yuejia Liu, et al.. (2021). Transcriptional and functional divergence in lateral hypothalamic glutamate neurons projecting to the lateral habenula and ventral tegmental area. Neuron. 109(23). 3823–3837.e6. 52 indexed citations
7.
Hashikawa, Yoshiko, Koichi Hashikawa, Mark A. Rossi, et al.. (2020). Transcriptional and Spatial Resolution of Cell Types in the Mammalian Habenula. Neuron. 106(5). 743–758.e5. 95 indexed citations
8.
Otis, James M., Manhua Zhu, Vijay Mohan K Namboodiri, et al.. (2019). Paraventricular Thalamus Projection Neurons Integrate Cortical and Hypothalamic Signals for Cue-Reward Processing. Neuron. 103(3). 423–431.e4. 134 indexed citations
9.
Fang, Yi‐Ya, Anna Shin, S. Park, et al.. (2019). Rapid, biphasic CRF neuronal responses encode positive and negative valence. Nature Neuroscience. 22(4). 576–585. 94 indexed citations
10.
Hashikawa, Koichi, Yoshiko Hashikawa, Julieta E. Lischinsky, & Dayu Lin. (2018). The Neural Mechanisms of Sexually Dimorphic Aggressive Behaviors. Trends in Genetics. 34(10). 755–776. 55 indexed citations
11.
Hashikawa, Yoshiko, Koichi Hashikawa, Annegret L. Falkner, & Dayu Lin. (2017). Ventromedial Hypothalamus and the Generation of Aggression. Frontiers in Systems Neuroscience. 11. 94–94. 87 indexed citations
12.
Hashikawa, Koichi, Yoshiko Hashikawa, Robin Tremblay, et al.. (2017). Esr1+ cells in the ventromedial hypothalamus control female aggression. Nature Neuroscience. 20(11). 1580–1590. 188 indexed citations
13.
Hashikawa, Koichi, Yoshiko Hashikawa, Annegret L. Falkner, & Dayu Lin. (2016). The neural circuits of mating and fighting in male mice. Current Opinion in Neurobiology. 38. 27–37. 109 indexed citations
14.
Hashikawa, Koichi, et al.. (2013). Blockade of Stimulus Convergence in Amygdala Neurons Disrupts Taste Associative Learning. Journal of Neuroscience. 33(11). 4958–4963. 8 indexed citations
15.
Hashikawa, Koichi, et al.. (2012). Off‐line Arc transcription in active ensembles during fear memory retrieval. European Journal of Neuroscience. 36(10). 3451–3457. 7 indexed citations
16.
Nomura, Hiroshi, et al.. (2011). Memory coding in plastic neuronal subpopulations within the amygdala. NeuroImage. 60(1). 153–161. 18 indexed citations
17.
Hashikawa, Koichi, Norio Matsuki, & Hiroshi Nomura. (2011). Preferential Arc transcription at rest in the active ensemble during associative learning. Neurobiology of Learning and Memory. 95(4). 498–504. 17 indexed citations
18.
Toyoda, Takeshi, et al.. (2010). Persistent neural activity regulates Arc/Arg3.1 transcription in the dentate gyrus. Journal of Neuroscience Research. 88(14). 3060–3066. 12 indexed citations
19.
Nomura, Hiroshi, Takeshi Toyoda, Koichi Hashikawa, et al.. (2009). Hyperactivity in novel environment with increased dopamine and impaired novelty preference in apoptosis signal-regulating kinase 1 (ASK1)-deficient mice. Neuroscience Research. 66(3). 313–320. 22 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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