Tadahiro Goda

655 total citations
25 papers, 465 citations indexed

About

Tadahiro Goda is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Tadahiro Goda has authored 25 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Tadahiro Goda's work include Circadian rhythm and melatonin (12 papers), Neurobiology and Insect Physiology Research (10 papers) and Power System Optimization and Stability (3 papers). Tadahiro Goda is often cited by papers focused on Circadian rhythm and melatonin (12 papers), Neurobiology and Insect Physiology Research (10 papers) and Power System Optimization and Stability (3 papers). Tadahiro Goda collaborates with scholars based in United States, Japan and United Kingdom. Tadahiro Goda's co-authors include Fumika N. Hamada, Herman Wijnen, Yujiro Umezaki, Tomotake Kanki, Michelle Chu, Tetsu Saigusa, Yuko Hirota, Yoshimasa Aoki, Yusuke Kurihara and Takeshi Uchiumi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Genes & Development.

In The Last Decade

Tadahiro Goda

24 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tadahiro Goda United States 12 193 171 159 100 81 25 465
Stefanie Schirmeier Germany 15 378 2.0× 342 2.0× 65 0.4× 33 0.3× 92 1.1× 18 807
Charles Choi United States 8 204 1.1× 118 0.7× 140 0.9× 37 0.4× 21 0.3× 12 373
Christopher S. Nelson United States 12 116 0.6× 196 1.1× 109 0.7× 19 0.2× 35 0.4× 21 560
Kaleigh Fisher United States 12 154 0.8× 170 1.0× 52 0.3× 30 0.3× 53 0.7× 20 517
Kathryn D. Curtin United States 11 298 1.5× 308 1.8× 376 2.4× 70 0.7× 34 0.4× 12 779
Elizabeth A. Kane United States 7 397 2.1× 245 1.4× 187 1.2× 20 0.2× 56 0.7× 7 809
Nasima Mayer United States 8 268 1.4× 149 0.9× 69 0.4× 11 0.1× 62 0.8× 9 502
Magali Iché-Torres France 8 209 1.1× 130 0.8× 40 0.3× 21 0.2× 35 0.4× 8 379
Astrid Weiler Germany 5 253 1.3× 164 1.0× 47 0.3× 15 0.1× 63 0.8× 5 451
Sheila A. Homburger United States 7 183 0.9× 322 1.9× 232 1.5× 15 0.1× 82 1.0× 10 785

Countries citing papers authored by Tadahiro Goda

Since Specialization
Citations

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

Fields of papers citing papers by Tadahiro Goda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadahiro Goda

This figure shows the co-authorship network connecting the top 25 collaborators of Tadahiro Goda. A scholar is included among the top collaborators of Tadahiro Goda 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 Tadahiro Goda. Tadahiro Goda 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.
Goda, Tadahiro, Yujiro Umezaki, & Fumika N. Hamada. (2023). Molecular and Neural Mechanisms of Temperature Preference Rhythm in Drosophila melanogaster. Journal of Biological Rhythms. 38(4). 326–340. 3 indexed citations
2.
Chen, Shyh‐Chi, et al.. (2022). Dorsal clock networks drive temperature preference rhythms in Drosophila. Cell Reports. 39(2). 110668–110668. 9 indexed citations
3.
Goda, Tadahiro & Fumika N. Hamada. (2019). Drosophila Temperature Preference Rhythms: An Innovative Model to Understand Body Temperature Rhythms. International Journal of Molecular Sciences. 20(8). 1988–1988. 18 indexed citations
4.
Goda, Tadahiro, et al.. (2019). Neuropeptides PDF and DH31 hierarchically regulate free-running rhythmicity in Drosophila circadian locomotor activity. Scientific Reports. 9(1). 838–838. 19 indexed citations
5.
Goda, Tadahiro, Masao Doi, Yujiro Umezaki, et al.. (2018). Calcitonin receptors are ancient modulators for rhythms of preferential temperature in insects and body temperature in mammals. Genes & Development. 32(2). 140–155. 38 indexed citations
6.
Goda, Tadahiro, Yujiro Umezaki, Michelle Chu, et al.. (2016). DrosophilaDH31 Neuropeptide and PDF Receptor Regulate Night-Onset Temperature Preference. Journal of Neuroscience. 36(46). 11739–11754. 45 indexed citations
7.
Goda, Tadahiro, Yujiro Umezaki, Elaine C. Chang, et al.. (2015). The Influence of Light on Temperature Preference in Drosophila. Current Biology. 25(8). 1063–1068. 25 indexed citations
8.
Goda, Tadahiro, Jennifer R. Leslie, & Fumika N. Hamada. (2014). Design and Analysis of Temperature Preference Behavior and its Circadian Rhythm in <em>Drosophila</em>. Journal of Visualized Experiments. e51097–e51097. 18 indexed citations
9.
Kanki, Tomotake, Yusuke Kurihara, Tadahiro Goda, et al.. (2013). Casein kinase 2 is essential for mitophagy. EMBO Reports. 14(9). 788–794. 116 indexed citations
10.
Goda, Tadahiro, et al.. (2011). Adult Circadian Behavior in Drosophila Requires Developmental Expression of cycle, But Not period. PLoS Genetics. 7(7). e1002167–e1002167. 15 indexed citations
11.
Goda, Tadahiro, Chiyo Takagi, & Naoto Ueno. (2009). Xenopus Rnd1 and Rnd3 GTP‐binding proteins are expressed under the control of segmentation clock and required for somite formation. Developmental Dynamics. 238(11). 2867–2876. 17 indexed citations
12.
Goda, Tadahiro, et al.. (2009). Selective entrainment of the Drosophilacircadian clock to daily gradients in environmental temperature. BMC Biology. 7(1). 49–49. 41 indexed citations
13.
Goda, Tadahiro, Anita Abu‐Daya, Samantha Carruthers, et al.. (2006). Genetic Screens for Mutations Affecting Development of Xenopus tropicalis. PLoS Genetics. 2(6). e91–e91. 53 indexed citations
14.
Goda, Tadahiro, et al.. (2005). Genetic Screens for Mutations Affecting Development of Xenopus tropicalis. PLoS Genetics. preprint(2006). e91–e91. 3 indexed citations
15.
Goda, Tadahiro, Takashi Ishii, Nobushige Nakajo, Noriyuki Sagata, & Hideki Kobayashi. (2003). The RRASK Motif in Xenopus Cyclin B2 Is Required for the Substrate Recognition of Cdc25C by the Cyclin B-Cdc2 Complex. Journal of Biological Chemistry. 278(21). 19032–19037. 7 indexed citations
16.
Goda, Tadahiro, M Funakoshi, Hiroto Suhara, Takeharu Nishimoto, & Hideki Kobayashi. (2001). The N-terminal Helix of Xenopus Cyclins A and B Contributes to Binding Specificity of the Cyclin-CDK Complex. Journal of Biological Chemistry. 276(18). 15415–15422. 15 indexed citations
18.
Imai, Shinichi, et al.. (2000). Development of a predictive prevention method for the midterm stability problem using only local information. Electrical Engineering in Japan. 133(1). 43–52. 1 indexed citations
19.
Kojima, Yasuhiro, et al.. (1994). Voltage and reactive power control using recurrent neural networks. Electrical Engineering in Japan. 114(4). 119–128. 3 indexed citations
20.
Maeda, Kouji, et al.. (1982). Development and Field Experience of Digital Protection and Control Equipment in Power Systems. IEEE Power Engineering Review. PER-2(11). 23–24. 1 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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