Teruyuki Hobara

1.6k total citations
17 papers, 1.3k citations indexed

About

Teruyuki Hobara is a scholar working on Molecular Biology, Biological Psychiatry and Physiology. According to data from OpenAlex, Teruyuki Hobara has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biological Psychiatry and 5 papers in Physiology. Recurrent topics in Teruyuki Hobara's work include Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (4 papers) and Adipose Tissue and Metabolism (4 papers). Teruyuki Hobara is often cited by papers focused on Tryptophan and brain disorders (5 papers), Stress Responses and Cortisol (4 papers) and Adipose Tissue and Metabolism (4 papers). Teruyuki Hobara collaborates with scholars based in Japan and United States. Teruyuki Hobara's co-authors include Yoshifumi Watanabe, Shusaku Uchida, Hirotaka Yamagata, Koji Otsuki, K. Hara, Ayumi Kobayashi, Fumihiro Higuchi, Hiromasa Funato, Naoki Miyata and Takayoshi Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Teruyuki Hobara

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teruyuki Hobara Japan 13 546 442 355 221 194 17 1.3k
Koji Otsuki Japan 17 633 1.2× 427 1.0× 439 1.2× 293 1.3× 249 1.3× 60 1.8k
Matthew B. Wilkinson United States 13 724 1.3× 308 0.7× 397 1.1× 682 3.1× 259 1.3× 14 1.7k
Elizabeth A. Heller United States 25 942 1.7× 241 0.5× 276 0.8× 819 3.7× 250 1.3× 50 2.2k
Hope Kronman United States 11 201 0.4× 240 0.5× 367 1.0× 168 0.8× 68 0.4× 15 801
Jocelyn Grosse Switzerland 19 272 0.5× 262 0.6× 394 1.1× 302 1.4× 84 0.4× 32 1.1k
Akitoyo Hishimoto Japan 25 704 1.3× 405 0.9× 202 0.6× 450 2.0× 335 1.7× 118 2.1k
Tomo Okochi Japan 23 481 0.9× 286 0.6× 110 0.3× 465 2.1× 387 2.0× 58 1.5k
Mimi A. Trinh United States 7 1.0k 1.9× 191 0.4× 214 0.6× 568 2.6× 390 2.0× 7 1.9k
Yoshinori N. Ohnishi Japan 12 577 1.1× 261 0.6× 245 0.7× 547 2.5× 188 1.0× 17 1.2k
George Jurjus United States 21 386 0.7× 676 1.5× 519 1.5× 651 2.9× 118 0.6× 34 2.0k

Countries citing papers authored by Teruyuki Hobara

Since Specialization
Citations

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

Fields of papers citing papers by Teruyuki Hobara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruyuki Hobara

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

All Works

17 of 17 papers shown
1.
Li, Haiyan, Hirotaka Yamagata, Tomoe Seki, et al.. (2021). Gene-environment interactions mediate stress susceptibility and resilience through the CaMKIIβ/TARPγ-8/AMPAR pathway. iScience. 24(5). 102504–102504. 17 indexed citations
2.
Ikuta, Toshikazu, Koji Matsuo, Kenichiro Harada, et al.. (2017). Disconnectivity between Dorsal Raphe Nucleus and Posterior Cingulate Cortex in Later Life Depression. Frontiers in Aging Neuroscience. 9. 236–236. 15 indexed citations
3.
Harada, Kenichiro, Koji Matsuo, Mami Nakashima, et al.. (2016). Disrupted orbitomedial prefrontal limbic network in individuals with later-life depression. Journal of Affective Disorders. 204. 112–119. 28 indexed citations
4.
Uchida, Shusaku, Hirotaka Yamagata, Fumihiro Higuchi, et al.. (2016). Hippocampal Sirtuin 1 Signaling Mediates Depression-like Behavior. Biological Psychiatry. 80(11). 815–826. 202 indexed citations
5.
Shibata, Tomohiko, Hirotaka Yamagata, Shusaku Uchida, et al.. (2013). The alteration of hypoxia inducible factor-1 (HIF-1) and its target genes in mood disorder patients. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 43. 222–229. 56 indexed citations
6.
Otsuki, Koji, Shusaku Uchida, Teruyuki Hobara, Hirotaka Yamagata, & Yoshifumi Watanabe. (2012). [Epigenetic regulation in depression].. PubMed. 32(4). 181–6. 10 indexed citations
7.
Higuchi, Fumihiro, Shusaku Uchida, Hirotaka Yamagata, et al.. (2011). State-dependent changes in the expression of DNA methyltransferases in mood disorder patients. Journal of Psychiatric Research. 45(10). 1295–1300. 52 indexed citations
8.
Uchida, Shusaku, K. Hara, Ayumi Kobayashi, et al.. (2011). Impaired hippocampal spinogenesis and neurogenesis and altered affective behavior in mice lacking heat shock factor 1. Proceedings of the National Academy of Sciences. 108(4). 1681–1686. 79 indexed citations
9.
Uchida, Shusaku, K. Hara, Ayumi Kobayashi, et al.. (2011). Epigenetic Status of Gdnf in the Ventral Striatum Determines Susceptibility and Adaptation to Daily Stressful Events. Neuron. 69(2). 359–372. 330 indexed citations
10.
Abe, Naoko, Shusaku Uchida, Koji Otsuki, et al.. (2011). Altered sirtuin deacetylase gene expression in patients with a mood disorder. Journal of Psychiatric Research. 45(8). 1106–1112. 102 indexed citations
11.
Hobara, Teruyuki, Shusaku Uchida, Koji Otsuki, Hirotaka Yamagata, & Yoshifumi Watanabe. (2010). Molecular mechanisms of the antidepressant actions by histone deacetylase inhibitors. Neuroscience Research. 68. e316–e316. 2 indexed citations
12.
Uchida, Shusaku, K. Hara, Ayumi Kobayashi, et al.. (2010). Early Life Stress Enhances Behavioral Vulnerability to Stress through the Activation of REST4-Mediated Gene Transcription in the Medial Prefrontal Cortex of Rodents. Journal of Neuroscience. 30(45). 15007–15018. 245 indexed citations
13.
Abe, Naoko, Shusaku Uchida, Koji Otsuki, et al.. (2010). Altered gene expression of sirtuins in mood disorder patients. Neuroscience Research. 68. e318–e318. 1 indexed citations
14.
Uchida, Shusaku, K. Hara, Ayumi Kobayashi, et al.. (2009). Maternal and genetic factors in stress-resilient and -vulnerable rats: A cross-fostering study. Brain Research. 1316. 43–50. 15 indexed citations
15.
Hobara, Teruyuki, Shusaku Uchida, Koji Otsuki, et al.. (2009). Altered gene expression of histone deacetylases in mood disorder patients. Journal of Psychiatric Research. 44(5). 263–270. 148 indexed citations
16.
Otsuki, Koji, Shusaku Uchida, Yusuke Wakabayashi, et al.. (2009). Aberrant REST-mediated transcriptional regulation in major depressive disorder. Journal of Psychiatric Research. 44(6). 378–384. 34 indexed citations
17.
Hobara, Teruyuki, Shusaku Uchida, Koji Otsuki, et al.. (2009). Altered gene expression of histone deacetylases in mood disorder patients. Neuroscience Research. 65. S90–S90. 9 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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