Tomoko Soga

1.8k total citations
75 papers, 1.5k citations indexed

About

Tomoko Soga is a scholar working on Reproductive Medicine, Molecular Biology and Social Psychology. According to data from OpenAlex, Tomoko Soga has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Reproductive Medicine, 17 papers in Molecular Biology and 16 papers in Social Psychology. Recurrent topics in Tomoko Soga's work include Hypothalamic control of reproductive hormones (34 papers), Neuroendocrine regulation and behavior (16 papers) and Stress Responses and Cortisol (15 papers). Tomoko Soga is often cited by papers focused on Hypothalamic control of reproductive hormones (34 papers), Neuroendocrine regulation and behavior (16 papers) and Stress Responses and Cortisol (15 papers). Tomoko Soga collaborates with scholars based in Malaysia, Japan and United States. Tomoko Soga's co-authors include Ishwar S. Parhar, Yasuo Sakuma, Satoshi Ogawa, Yuki Higuchi, Robert P. Millar, Sonoko Ogawa, Takayoshi Ubuka, Yuji Ishikawa, Iain J. Clarke and Yoshitaka Nagahama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Tomoko Soga

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Soga Malaysia 23 566 399 277 274 245 75 1.5k
Seiichiro Kawashima Japan 25 762 1.3× 391 1.0× 387 1.4× 269 1.0× 302 1.2× 94 1.9k
Chad D. Foradori United States 22 606 1.1× 373 0.9× 402 1.5× 58 0.2× 265 1.1× 40 1.7k
Shogo Haraguchi Japan 19 317 0.6× 278 0.7× 405 1.5× 85 0.3× 195 0.8× 68 1.7k
Nandini Vasudevan United States 23 383 0.7× 936 2.3× 411 1.5× 46 0.2× 242 1.0× 42 1.7k
Bernard Kerdelhué France 31 824 1.5× 401 1.0× 522 1.9× 117 0.4× 371 1.5× 128 2.5k
Franco Mangia Italy 21 441 0.8× 243 0.6× 830 3.0× 49 0.2× 173 0.7× 37 1.9k
Nathalie A. Compagnone United States 17 223 0.4× 548 1.4× 653 2.4× 64 0.2× 331 1.4× 30 2.1k
Karl J. Iremonger New Zealand 20 619 1.1× 130 0.3× 337 1.2× 41 0.1× 422 1.7× 36 1.5k
Michael Selmanoff United States 30 1.2k 2.1× 450 1.1× 283 1.0× 119 0.4× 830 3.4× 54 2.3k
Christian Saligaut France 25 207 0.4× 482 1.2× 389 1.4× 507 1.9× 84 0.3× 68 1.9k

Countries citing papers authored by Tomoko Soga

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Soga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Soga

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Soga. A scholar is included among the top collaborators of Tomoko Soga 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 Tomoko Soga. Tomoko Soga 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
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Soga, Tomoko, et al.. (2024). Comparative Side‐Effects of Neurosurgical Treatment of Treatment‐Resistant Depression. CNS Neuroscience & Therapeutics. 30(10). e70090–e70090.
3.
Soga, Tomoko, et al.. (2023). Kisspeptin-10 Mitigates α-Synuclein-Mediated Mitochondrial Apoptosis in SH-SY5Y-Derived Neurons via a Kisspeptin Receptor-Independent Manner. International Journal of Molecular Sciences. 24(7). 6056–6056. 3 indexed citations
4.
Parhar, Ishwar S., et al.. (2023). Gender Differences in Cortisol and Cortisol Receptors in Depression: A Narrative Review. International Journal of Molecular Sciences. 24(8). 7129–7129. 21 indexed citations
5.
Soga, Tomoko, et al.. (2023). Social stress-induced serotonin dysfunction activates spexin in male Nile tilapia ( Oreochromis Niloticus ). Proceedings of the National Academy of Sciences. 120(3). e2117547120–e2117547120. 10 indexed citations
6.
Lai, Nicola, et al.. (2023). Teleosts as behaviour test models for social stress. Frontiers in Behavioral Neuroscience. 17. 1205175–1205175. 2 indexed citations
7.
Soga, Tomoko, et al.. (2022). Kisspeptin-10 Rescues Cholinergic Differentiated SHSY-5Y Cells from α-Synuclein-Induced Toxicity In Vitro. International Journal of Molecular Sciences. 23(9). 5193–5193. 6 indexed citations
8.
Soga, Tomoko, et al.. (2022). The Molecular Effects of Environmental Enrichment on Alzheimer’s Disease. Molecular Neurobiology. 59(12). 7095–7118. 30 indexed citations
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Sodhi, Rupinder Kaur, Raghunath Singh, Yashika Bansal, et al.. (2021). Intersections in Neuropsychiatric and Metabolic Disorders: Possible Role of TRPA1 Channels. Frontiers in Endocrinology. 12. 771575–771575. 8 indexed citations
11.
Soga, Tomoko, et al.. (2017). RING Finger Protein 38 Is a Neuronal Protein in the Brain of Nile Tilapia, Oreochromis niloticus. Frontiers in Neuroanatomy. 11. 72–72. 6 indexed citations
12.
Soga, Tomoko, et al.. (2017). Social Isolation Modulates CLOCK Protein and Beta-Catenin Expression Pattern in Gonadotropin-Inhibitory Hormone Neurons in Male Rats. Frontiers in Endocrinology. 8. 225–225. 8 indexed citations
13.
Lim, Wei Ling, et al.. (2016). Maternal Dexamethasone Exposure Alters Synaptic Inputs to Gonadotropin-Releasing Hormone Neurons in the Early Postnatal Rat. Frontiers in Endocrinology. 7. 117–117. 7 indexed citations
14.
Soga, Tomoko, et al.. (2015). Early-Life Social Isolation Impairs the Gonadotropin-Inhibitory Hormone Neuronal Activity and Serotonergic System in Male Rats. Frontiers in Endocrinology. 6. 172–172. 19 indexed citations
15.
Soga, Tomoko, et al.. (2015). Early-life stress changes expression of GnRH and kisspeptin genes and DNA methylation of GnRH3 promoter in the adult zebrafish brain. General and Comparative Endocrinology. 227. 84–93. 19 indexed citations
16.
Mitra, Nilesh Kumar, et al.. (2015). Investigating Cell Surface Markers and Differentiation Potential of Compact Bone-Derived Mesenchymal Stem Cells. Zenodo (CERN European Organization for Nuclear Research). 91–95. 2 indexed citations
17.
Lim, Wei Ling, Tomoko Soga, & Ishwar S. Parhar. (2013). Maternal dexamethasone exposure during pregnancy in rats disrupts gonadotropin-releasing hormone neuronal development in the offspring. Cell and Tissue Research. 355(2). 409–423. 16 indexed citations
18.
19.
Tomihara, Kazuya, Taku Kaitsuka, Tomoko Soga, et al.. (2006). Abolition of sex-dependent effects of prenatal exposure to diethylstilbestrol on emotional behavior in estrogen receptor-α knockout mice. Neuroreport. 17(11). 1169–1173. 4 indexed citations
20.
Parhar, Ishwar S., Tomoko Soga, & Yasuo Sakuma. (1996). In situ hybridization for two differentially expressed GnRH genes following estrogen and triiodothyronine treatment in the brains of juvenile tilapia (cichlid). Neuroscience Letters. 218(2). 135–138. 17 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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