Susumu Taniguchi

1.3k total citations
16 papers, 1.1k citations indexed

About

Susumu Taniguchi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Susumu Taniguchi has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Physiology. Recurrent topics in Susumu Taniguchi's work include Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (4 papers) and Hormonal and reproductive studies (4 papers). Susumu Taniguchi is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (4 papers) and Hormonal and reproductive studies (4 papers). Susumu Taniguchi collaborates with scholars based in Japan, United States and Australia. Susumu Taniguchi's co-authors include Kunihisa Kobayashi, Hajime Nawata, Lawrence Chan, Brian Y. Ishida, Shoichiro Ikuyama, Toyoshi Inoguchi, Lan Li, Lawrence Chan, Benny Hung‐Junn Chang and William C. Heird and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Susumu Taniguchi

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susumu Taniguchi Japan 11 465 374 315 211 178 16 1.1k
Masahiro Masada Japan 21 635 1.4× 253 0.7× 594 1.9× 169 0.8× 128 0.7× 43 1.5k
Susanne Lingrell Canada 18 883 1.9× 452 1.2× 302 1.0× 185 0.9× 217 1.2× 23 1.5k
Salman Azhar United States 22 687 1.5× 97 0.3× 303 1.0× 372 1.8× 242 1.4× 51 1.4k
Leslie K. Pulawa United States 12 599 1.3× 402 1.1× 472 1.5× 237 1.1× 259 1.5× 14 1.3k
Krishna K. Narra United States 7 703 1.5× 160 0.4× 465 1.5× 130 0.6× 159 0.9× 8 1.2k
Danilo Landrock United States 22 988 2.1× 170 0.5× 145 0.5× 216 1.0× 188 1.1× 40 1.4k
L S Wise United States 11 706 1.5× 194 0.5× 623 2.0× 248 1.2× 156 0.9× 13 1.3k
Lina Zhuang United States 16 589 1.3× 277 0.7× 237 0.8× 74 0.4× 107 0.6× 24 1.1k
Yuki Izawa Japan 21 478 1.0× 106 0.3× 275 0.9× 189 0.9× 117 0.7× 27 1.1k
Isabelle Mothe‐Satney France 20 1.0k 2.2× 147 0.4× 424 1.3× 156 0.7× 185 1.0× 38 1.5k

Countries citing papers authored by Susumu Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by Susumu Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susumu Taniguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Taniguchi. A scholar is included among the top collaborators of Susumu Taniguchi 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 Susumu Taniguchi. Susumu Taniguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Kuroda, Naoto, Motoki Yamashita, Jun Minakuchi, et al.. (2009). Renal cell carcinoma in patients with end‐stage renal disease: relationship between histological type and duration of dialysis. British Journal of Urology. 105(5). 620–627. 73 indexed citations
2.
Taniguchi, Susumu, et al.. (2008). Effects of Strip-cutting on Stand Floor Micro Climate and Tree-species Diversity in a Japanese Cypress Plantation. Journal of the Japanese Forest Society. 91(2). 86–93. 5 indexed citations
3.
Taniguchi, Susumu, Rikiya Taoka, Masashi Inui, Mikio Sugimoto, & Yoshiyuki Kakehi. (2008). Influence of Inflammation and Aging on Macrophage Inhibitory Cytokine-1 Gene Expression in Rat Ventral Prostate. Urology. 73(2). 410–414. 7 indexed citations
4.
Taniguchi, Susumu, et al.. (2006). [Temporary inferior vena cava filter applied to 4 patients with urological disease].. PubMed. 52(7). 561–4. 1 indexed citations
5.
Chang, Benny Hung‐Junn, Lan Li, Antoni Paul, et al.. (2006). Protection against Fatty Liver but Normal Adipogenesis in Mice Lacking Adipose Differentiation-Related Protein. Molecular and Cellular Biology. 26(3). 1063–1076. 261 indexed citations
6.
Wei, Ping, Susumu Taniguchi, Yoshiyuki Sakai, et al.. (2005). Expression of Adipose Differentiation-Related Protein (ADRP) Is Conjointly Regulated by PU.1 and AP-1 in Macrophages. The Journal of Biochemistry. 138(4). 399–412. 27 indexed citations
7.
Imamura, Minako, Toyoshi Inoguchi, Shoichiro Ikuyama, et al.. (2002). ADRP stimulates lipid accumulation and lipid droplet formation in murine fibroblasts. American Journal of Physiology-Endocrinology and Metabolism. 283(4). E775–E783. 239 indexed citations
8.
Kobayashi, Kunihisa, Trudy M. Forte, Susumu Taniguchi, et al.. (2000). The db/db mouse, a model for diabetic dyslipidemia: Molecular characterization and effects of western diet feeding. Metabolism. 49(1). 22–31. 209 indexed citations
9.
Nakamuta, Makoto, Susumu Taniguchi, Brian Y. Ishida, Kunihisa Kobayashi, & Lawrence Chan. (1998). Phenotype Interaction of apobec-1 and CETP , LDLR, and ApoE Gene Expression in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 18(5). 747–755. 17 indexed citations
10.
Yanase, Toshihiko, et al.. (1997). Differential Expression of PPAR γ1 and γ2 Isoforms in Human Adipose Tissue. Biochemical and Biophysical Research Communications. 233(2). 320–324. 47 indexed citations
11.
Taniguchi, Susumu, Toshihiko Yanase, Kunihisa Kobayashi, Ryoichi Takayanagi, & Hajime Nawata. (1996). Dehydroepiandrosterone markedly inhibits the accumulation of cholesteryl ester in mouse macrophage J774-1 cells. Atherosclerosis. 126(1). 143–154. 21 indexed citations
12.
Yanase, Toshihiko, Susumu Taniguchi, Yoshihiro Nishi, et al.. (1996). Serum Dehydroepiandrosterone (DHEA) and DHEA-Sulfate (DHEA-S) in Alzheimer's Disease and in Cerebrovascular Dementia.. Endocrine Journal. 43(1). 119–123. 91 indexed citations
13.
Taniguchi, Susumu, Toshihiko Yanase, Masafumi Haji, et al.. (1995). The Antiobesity Effect of Dehydroepiandrosterone in Castrated or Noncastrated Obese Zucker Male Rats. Obesity Research. 3(S5). 15 indexed citations
14.
Hiramatsu, Shinsuke, Yasuhiro Sako, Kazuo Mimura, et al.. (1995). Impaired Feedback Inhibition of Insulin Secretion by Hyperinsulinemia in Patients with Insulinoma.. Endocrine Journal. 42(1). 39–42. 7 indexed citations
15.
Toyofuku, Kazutomo, et al.. (1994). A Case of Eruptive Xanthoma with Hyperlipidemia and Diabetes Mellitus.. The Nishinihon Journal of Dermatology. 56(5). 959–963.
16.
Taniguchi, Susumu, Toshihiko Yanase, Kunihisa Kobayashi, et al.. (1994). Catechol Estro ens Are More Potent Antioxidants than Estrogens for the Cu2+-Catalyzed Oxidation of Low or High Density Lipoprotein: Antioxidative Effects of Steroids on Lipoproteins.. Endocrine Journal. 41(6). 605–611. 34 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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