Takafumi Gotoh

1.8k total citations
92 papers, 1.4k citations indexed

About

Takafumi Gotoh is a scholar working on Animal Science and Zoology, Molecular Biology and Genetics. According to data from OpenAlex, Takafumi Gotoh has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Animal Science and Zoology, 21 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Takafumi Gotoh's work include Meat and Animal Product Quality (21 papers), Adipose Tissue and Metabolism (15 papers) and Genetic and phenotypic traits in livestock (13 papers). Takafumi Gotoh is often cited by papers focused on Meat and Animal Product Quality (21 papers), Adipose Tissue and Metabolism (15 papers) and Genetic and phenotypic traits in livestock (13 papers). Takafumi Gotoh collaborates with scholars based in Japan, Egypt and South Korea. Takafumi Gotoh's co-authors include Elke Albrecht, Hideyuki Mannen, Keigo KUCHIDA, J. Wegner, Hidetoshi Iwamoto, Steffen Maak, P. L. Greenwood, Stephen B. Smith, Shinichi Aizawa and Akihiko Shimono and has published in prestigious journals such as Development, Food Chemistry and The FASEB Journal.

In The Last Decade

Takafumi Gotoh

89 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
Takafumi Gotoh Japan 19 482 411 373 221 204 92 1.4k
Daniel Clark United States 24 670 1.4× 336 0.8× 166 0.4× 229 1.0× 146 0.7× 96 1.5k
PI Hynd Australia 23 480 1.0× 259 0.6× 355 1.0× 315 1.4× 43 0.2× 117 1.5k
Laurence Moreau France 36 198 0.4× 748 1.8× 3.2k 8.5× 325 1.5× 75 0.4× 104 4.8k
Dominique François France 18 151 0.3× 412 1.0× 246 0.7× 123 0.6× 67 0.3× 57 1.2k
Seoae Cho South Korea 24 261 0.5× 723 1.8× 892 2.4× 199 0.9× 97 0.5× 78 1.9k
Peng Shang China 18 148 0.3× 429 1.0× 225 0.6× 28 0.1× 157 0.8× 92 1.0k
A. Sanz Spain 24 638 1.3× 126 0.3× 571 1.5× 754 3.4× 36 0.2× 99 1.6k
Amir Arav Israel 40 319 0.7× 912 2.2× 605 1.6× 746 3.4× 162 0.8× 108 4.4k
L. M. Cafe Australia 21 666 1.4× 256 0.6× 604 1.6× 425 1.9× 217 1.1× 44 1.4k
Michael T. Rose United Kingdom 21 285 0.6× 388 0.9× 210 0.6× 264 1.2× 221 1.1× 83 1.3k

Countries citing papers authored by Takafumi Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Takafumi Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takafumi Gotoh

This figure shows the co-authorship network connecting the top 25 collaborators of Takafumi Gotoh. A scholar is included among the top collaborators of Takafumi Gotoh 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 Takafumi Gotoh. Takafumi Gotoh 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
2.
Muroya, Susumu, et al.. (2024). Maternal Undernutrition Affects Fetal Thymus DNA Methylation, Gene Expression, and, Thereby, Metabolism and Immunopoiesis in Wagyu (Japanese Black) Cattle. International Journal of Molecular Sciences. 25(17). 9242–9242. 3 indexed citations
3.
Muroya, Susumu, et al.. (2023). DNA Methylation of Genes Participating in Hepatic Metabolisms and Function in Fetal Calf Liver Is Altered by Maternal Undernutrition during Gestation. International Journal of Molecular Sciences. 24(13). 10682–10682. 8 indexed citations
5.
Zhang, Yi, Y. Goto, Ichiro Oshima, et al.. (2021). Effects of low and high levels of maternal nutrition consumed for the entirety of gestation on the development of muscle, adipose tissue, bone, and the organs of Wagyu cattle fetuses. Animal Science Journal. 92(1). e13600–e13600. 19 indexed citations
6.
Muroya, Susumu, Yi Zhang, Ichiro Oshima, et al.. (2021). Maternal Undernutrition during Pregnancy Alters Amino Acid Metabolism and Gene Expression Associated with Energy Metabolism and Angiogenesis in Fetal Calf Muscle. Metabolites. 11(9). 582–582. 18 indexed citations
7.
Albrecht, Elke, Lisa Schering, Katrin Komolka, et al.. (2017). TRIENNIAL GROWTH AND DEVELOPMENT SYMPOSIUM: Factors influencing bovine intramuscular adipose tissue development and cellularity1. Journal of Animal Science. 95(5). 2244–2254. 10 indexed citations
8.
Albrecht, Elke, Lisa Schering, Katrin Komolka, et al.. (2017). TRIENNIAL GROWTH AND DEVELOPMENT SYMPOSIUM: Factors influencing bovine intramuscular adipose tissue development and cellularity. Journal of Animal Science. 95(5). 2244–2244. 12 indexed citations
9.
Takahashi, Hideyuki, et al.. (2016). Preliminary study of the effects of condensed barley distillers soluble on rumen fermentation and plasma metabolites in Japanese Black cows. Animal Science Journal. 88(4). 610–617. 1 indexed citations
10.
Seo, Dongwon, Hee-Bok Park, Shil Jin, et al.. (2016). Association of SNPs in AMY1A and AMY2A genes with chicken meat quality and clinical–chemical traits in chicken. Journal of the Faculty of Agriculture Kyushu University. 61(1). 121–125. 6 indexed citations
11.
Seo, Eun–Young, Jae Sun Moon, Takafumi Gotoh, et al.. (2015). A High Throughput Soybean Gene Identification System Developed using Soybean Yellow Common Mosaic Virus (SYCMV). Journal of the Faculty of Agriculture Kyushu University. 60(1). 127–138. 1 indexed citations
12.
Shirouchi, Bungo, Elke Albrecht, Gerd Nuernberg, et al.. (2013). Fatty acid profiles and adipogenic gene expression of various fat depots in Japanese Black and Holstein steers. Meat Science. 96(1). 157–164. 22 indexed citations
13.
Gotoh, Takafumi, et al.. (2010). Metabolic imprinting effect in beef production: influence of nutrition manipulation during an early growth stage on carcass characteristics and intramuscular fat content of longissimus muscle in Wagyu (Japanese Black).. 127(1). 669–670. 2 indexed citations
14.
Gotoh, Takafumi, et al.. (2010). QRS morphological analysis using two layered self-organizing map for heartbeat classification. Computing in Cardiology. 975–978. 2 indexed citations
15.
Gotoh, Takafumi, Elke Albrecht, F. Teuscher, et al.. (2009). Differences in muscle and fat accretion in Japanese Black and European cattle. Meat Science. 82(3). 300–308. 115 indexed citations
16.
Nakamura, Yutaka, et al.. (2008). Study of availability of seabuckthorn strained lees as cattle feed. 1 indexed citations
17.
Nishimura, Shotaro, et al.. (2001). Proportional Changes of Somatotrophs, Mammotrophs and Somatomammotrophs Induced by Cessation of Lactation in Female Goat Adenohypophysis. Nihon Chikusan Gakkaiho. 72(1). 32–38. 1 indexed citations
18.
Iwamoto, Hisao, et al.. (1999). Comparative Studies on the Fiber Type Composition in the Different Parts of M. biceps femoris of Mishima Steers. Nihon Chikusan Gakkaiho. 70(9). 177–183. 2 indexed citations
19.
Iwamoto, Hidetoshi, et al.. (1998). Effects of parent Shamo cocks on the histochemical properties ofM. iliotibialis lateralisandM. supracoracoideuson their crossbred broilers. British Poultry Science. 39(5). 589–595. 14 indexed citations
20.
Gotoh, Takafumi & Koji Aoyama. (1990). THE METHOD OF TOTAL HEMINEPHROURETERECTOMY. The Japanese Journal of Urology. 81(1). 14–18. 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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