Shoji Tabata

1.9k total citations
106 papers, 1.6k citations indexed

About

Shoji Tabata is a scholar working on Animal Science and Zoology, Nutrition and Dietetics and Sensory Systems. According to data from OpenAlex, Shoji Tabata has authored 106 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Animal Science and Zoology, 34 papers in Nutrition and Dietetics and 31 papers in Sensory Systems. Recurrent topics in Shoji Tabata's work include Biochemical Analysis and Sensing Techniques (34 papers), Olfactory and Sensory Function Studies (26 papers) and Animal Nutrition and Physiology (24 papers). Shoji Tabata is often cited by papers focused on Biochemical Analysis and Sensing Techniques (34 papers), Olfactory and Sensory Function Studies (26 papers) and Animal Nutrition and Physiology (24 papers). Shoji Tabata collaborates with scholars based in Japan, United States and Bangladesh. Shoji Tabata's co-authors include Shotaro Nishimura, Fuminori Kawabata, Hidetoshi Iwamoto, Nobuya SHIBA, Yuko Kawabata, Masanori Uemura, Kinya Yasui, Yuta Yoshida, Hideyuki Miyachi and Robert F. Margolskee and has published in prestigious journals such as The Journal of Comparative Neurology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Shoji Tabata

103 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
Shoji Tabata Japan 22 559 533 433 390 295 106 1.6k
Shotaro Nishimura Japan 22 332 0.6× 536 1.0× 242 0.6× 230 0.6× 216 0.7× 107 1.4k
Edward E. Morrison United States 25 529 0.9× 48 0.1× 783 1.8× 442 1.1× 289 1.0× 69 2.0k
Rosaria Laurà Italy 22 140 0.3× 87 0.2× 154 0.4× 379 1.0× 44 0.1× 90 1.6k
Yasuro Atoji Japan 25 210 0.4× 191 0.4× 166 0.4× 445 1.1× 28 0.1× 150 2.4k
Kiyoto Kurima United States 21 140 0.3× 68 0.1× 1.3k 3.1× 1.1k 2.7× 164 0.6× 44 2.2k
Paolo Clavenzani Italy 19 209 0.4× 262 0.5× 130 0.3× 263 0.7× 89 0.3× 75 1.1k
W. Breipohl Germany 25 398 0.7× 29 0.1× 593 1.4× 549 1.4× 166 0.6× 95 2.0k
C.E. Devine New Zealand 33 109 0.2× 1.6k 3.0× 93 0.2× 1.3k 3.2× 455 1.5× 76 3.6k
Pascale Quignon France 15 169 0.3× 73 0.1× 212 0.5× 1.0k 2.7× 124 0.4× 38 1.9k
Maria Cristina Guerrera Italy 23 132 0.2× 63 0.1× 109 0.3× 338 0.9× 44 0.1× 104 1.7k

Countries citing papers authored by Shoji Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Shoji Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoji Tabata

This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Tabata. A scholar is included among the top collaborators of Shoji Tabata 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 Shoji Tabata. Shoji Tabata 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.
Kawabata, Yuko, et al.. (2022). Oral expressions and functional analyses of the extracellular calcium-sensing receptor (CaSR) in chicken. Scientific Reports. 12(1). 17762–17762. 7 indexed citations
2.
Yamada, Yuichi, Shingo Takai, Yu Watanabe, et al.. (2021). Gene expression profiling of α-gustducin-expressing taste cells in mouse fungiform and circumvallate papillae. Biochemical and Biophysical Research Communications. 557. 206–212. 8 indexed citations
3.
Yu, Wenxin, Zhonghou Wang, Brett Marshall, et al.. (2020). Taste buds are not derived from neural crest in mouse, chicken, and zebrafish. Developmental Biology. 471. 76–88. 7 indexed citations
4.
Kawabata, Fuminori, et al.. (2016). Identification of functional bitter taste receptors and their antagonist in chickens. Biochemical and Biophysical Research Communications. 482(4). 693–699. 21 indexed citations
5.
Kawabata, Yuko, et al.. (2015). The role of G-protein-coupled receptor 120 in fatty acids sensing in chicken oral tissues. Biochemical and Biophysical Research Communications. 458(2). 387–391. 24 indexed citations
6.
Nishimura, Shotaro, et al.. (2011). Changes in collagen fiber content and hepatic stellate cell distribution in the liver of chick embryos and growing chickens. Animal Science Journal. 83(6). 499–503. 2 indexed citations
7.
Nishimura, Shotaro, et al.. (2011). The comparison of the collagen fiber contents and hepatic stellate cell distribution in male and female chicken livers. Animal Science Journal. 82(6). 759–763. 2 indexed citations
8.
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
9.
Nishimura, Shotaro, et al.. (2010). Gustducin is expressed in the taste buds of the chicken. Animal Science Journal. 81(6). 666–672. 18 indexed citations
10.
Sultana, Afrin, Wataru Mizunoya, Takamichi Ito, et al.. (2008). Quality Improvement of Frozen and Chilled Beef biceps femoris with the Application of Salt-bicarbonate Solution. Asian-Australasian Journal of Animal Sciences. 21(6). 903–911. 25 indexed citations
11.
Oshima, Ichiro, Hisao Iwamoto, Kazuto Takayama, et al.. (2008). Comparative study of the histochemical properties, collagen content and architecture of the skeletal muscles of wild boar crossbred pigs and commercial hybrid pigs. Meat Science. 81(2). 382–390. 24 indexed citations
12.
Roy, Bimol C., Ichiro Oshima, Hideyuki Miyachi, et al.. (2006). Effects of nutritional level on muscle development, histochemical properties of myofibre and collagen architecture in the pectoralis muscle of male broilers. British Poultry Science. 47(4). 433–442. 42 indexed citations
13.
Nakamura, Yoshinori, Hidetoshi Iwamoto, Nobuya SHIBA, et al.. (2004). Growth changes of the collagen content and architecture in the pectoralis and iliotibialis lateralis muscles of cockerels. British Poultry Science. 45(6). 753–761. 23 indexed citations
14.
Nishimura, Shotaro, et al.. (2004). Three‐dimensional architecture and distribution of collagen components in the goat hypophysis. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 277A(2). 275–286. 4 indexed citations
15.
16.
Tabata, Shoji, et al.. (2003). Bovine circumvallate taste buds: Taste cell structure and immunoreactivity to α‐gustducin. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 271A(1). 217–224. 16 indexed citations
17.
Iwamoto, Hidetoshi, et al.. (2001). Scanning electron microscopic observation of the architecture of collagen fibres in chicken M. iliotibialis lateralis. British Poultry Science. 42(3). 321–326. 18 indexed citations
18.
Tabata, Shoji, et al.. (1998). Fluid Flow in the Dental Pulp Hypothesized by a Morphological Study. 34. 3–7. 3 indexed citations
19.
20.
Tabata, Shoji, et al.. (1994). Collagen fibrils in the odontoblast layer of the rat incisor by scanning electron microscopy using the maceration method. The Anatomical Record. 239(4). 360–370. 10 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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