T. Sako

693 total citations
45 papers, 561 citations indexed

About

T. Sako is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, T. Sako has authored 45 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 14 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in T. Sako's work include Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (12 papers) and Adipose Tissue and Metabolism (8 papers). T. Sako is often cited by papers focused on Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (12 papers) and Adipose Tissue and Metabolism (8 papers). T. Sako collaborates with scholars based in Japan, New Zealand and South Africa. T. Sako's co-authors include Toshiro Arai, Akira Wada, Tsukimi Washizu, H. Mizutani, N. Kimura, Akihiro Tanaka, Makoto Washizu, Hiroyuki Tazaki, Akira Mori and Hiroshi Fukuda and has published in prestigious journals such as Atherosclerosis, Journal of Endocrinology and The Journal of Biochemistry.

In The Last Decade

T. Sako

42 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Sako Japan 15 192 163 128 121 119 45 561
Rainer Kleemann Germany 13 275 1.4× 144 0.9× 143 1.1× 234 1.9× 161 1.4× 17 781
Kanichi Kusano Japan 13 197 1.0× 237 1.5× 48 0.4× 55 0.5× 79 0.7× 68 646
Ruo‐Jun Xu Hong Kong 15 138 0.7× 243 1.5× 72 0.6× 83 0.7× 72 0.6× 30 675
Romana T. Hartl Austria 16 121 0.6× 205 1.3× 47 0.4× 79 0.7× 28 0.2× 22 691
Ruhong Jiang United States 10 167 0.9× 209 1.3× 48 0.4× 58 0.5× 27 0.2× 13 643
Carla S. Sommardahl United States 16 147 0.8× 194 1.2× 43 0.3× 58 0.5× 24 0.2× 31 633
Jean‐Claude Desfontis France 14 66 0.3× 144 0.9× 108 0.8× 62 0.5× 42 0.4× 53 481
Enrique Viturro Germany 14 120 0.6× 119 0.7× 36 0.3× 139 1.1× 60 0.5× 27 507
María Daniella Carretta Chile 19 61 0.3× 319 2.0× 119 0.9× 55 0.5× 25 0.2× 34 847
Shin-ichi ITAGAKI Japan 14 174 0.9× 121 0.7× 50 0.4× 60 0.5× 61 0.5× 50 632

Countries citing papers authored by T. Sako

Since Specialization
Citations

This map shows the geographic impact of T. Sako'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 T. Sako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sako more than expected).

Fields of papers citing papers by T. Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Sako

This figure shows the co-authorship network connecting the top 25 collaborators of T. Sako. A scholar is included among the top collaborators of T. Sako 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 T. Sako. T. Sako 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.
Sako, T., et al.. (2024). Comparison of Multivariate Adaptive Regression Splines and Classification Regression Tree for Prediction of Body Weight of Bapedi Sheep. American Journal of Animal and Veterinary Sciences. 19(3). 226–232.
2.
Oda, Hitomi, et al.. (2022). Comparison of the effects of two commercially available prescription diet regimens on the fecal microbiomes of client-owned healthy pet dogs. Polish Journal of Veterinary Sciences. 25(1). 93–101. 1 indexed citations
3.
Hatano, Yutaka, Nobuko Mori, Akira Mori, et al.. (2010). Hypertriglyceridemia with increased plasma insulin concentrations in cats. Research in Veterinary Science. 88(3). 458–460. 10 indexed citations
4.
Oda, Hitomi, et al.. (2009). Assessing the immune state of dogs suffering from pituitary gland dependent hyperadrenocorticism by determining changes in peripheral lymphocyte subsets. Veterinary Research Communications. 33(7). 757–769. 5 indexed citations
5.
Sako, T., et al.. (2008). Comparison of time-action profiles of insulin Glargine and NPH insulin in normal and diabetic dogs. Veterinary Research Communications. 32(7). 563–573. 19 indexed citations
6.
Sako, T., et al.. (2008). Serum glycated albumin: Potential use as an index of glycemic control in diabetic dogs. Veterinary Research Communications. 33(5). 473–479. 10 indexed citations
7.
Katayama, Kentaro, et al.. (2007). Simultaneous determination of serum mannose and glucose concentrations in dog serum using high performance liquid chromatography. Research in Veterinary Science. 84(1). 26–29. 32 indexed citations
8.
Kimura, N., et al.. (2006). Effect of supplementation of Agaricus mushroom meal extracts on enzyme activities in peripheral leukocytes of calves. Research in Veterinary Science. 82(1). 7–10. 1 indexed citations
9.
Sako, T., et al.. (2006). Comparison of Plasma Metabolite Concentrations and Lactate Dehydrogenase Activity in Dogs, Cats, Horses, Cattle and Sheep. Veterinary Research Communications. 31(4). 413–417. 14 indexed citations
10.
Murano, Takeyoshi, T. Sako, Shin Oikawa, & Keiko Shirai. (2005). The recovery of dysfunctional lipoprotein lipase (Asp204-Glu) activity by modification of substrate. Atherosclerosis. 183(1). 101–107. 6 indexed citations
11.
Kimura, N., et al.. (2004). Changes in Activities of Enzymes Related to Energy Metabolism in Peripheral Leukocytes of Fattening Steers. Veterinary Research Communications. 29(1). 19–26. 9 indexed citations
12.
Mizutani, H., et al.. (2003). The Intravenous Xylitol Tolerance Test in Non-Lactating Cattle. Veterinary Research Communications. 27(8). 633–641. 4 indexed citations
13.
Arai, Toshiro, et al.. (2002). Cytosolic ratio of malate dehyrogenase/lactate dehydrogenase activity in peripheral leukocytes of race horses with training. Research in Veterinary Science. 72(3). 241–244. 8 indexed citations
14.
15.
Washizu, Tsukimi, et al.. (1998). A comparison of the activities of certain enzymes related to energy metabolism in leukocytes in dogs and cats. Veterinary Research Communications. 22(3). 187–192. 25 indexed citations
16.
Matsumoto, Hirotaka, Tomomi Yamada, Naoyuki TAKEMURA, et al.. (1996). Detection of Circulating Immune Complexes in Dog Sera by Immune Adherence Hemagglutination Method.. Journal of Veterinary Medical Science. 58(8). 727–730. 3 indexed citations
17.
Arai, Toshiro, Tsukimi Washizu, Masashi Sagara, et al.. (1995). D-glucose transport and glycolytic enzyme activities in erythrocytes of dogs, pigs, cats, horses, cattle and sheep. Research in Veterinary Science. 58(2). 195–196. 24 indexed citations
18.
TAKEMURA, Naoyuki, Hidekazu Koyama, T. Sako, Kazuyuki Suzuki, & Shigekatsu Motoyoshi. (1994). Plasma atrial natriuretic peptide in normal calves during the first 10 days of life. Research in Veterinary Science. 57(2). 251–252. 1 indexed citations
19.
TAKEMURA, Naoyuki, Hidekazu Koyama, T. Sako, et al.. (1991). Atrial natriuretic peptide in the dog with mitral regurgitation. Research in Veterinary Science. 50(1). 86–88. 11 indexed citations
20.
TAKEMURA, Naoyuki, Hidekazu Koyama, T. Sako, et al.. (1990). Bovine atrial natriuretic peptide in heart failure. Journal of Endocrinology. 124(3). 463–467. 11 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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