Jun Tanaka

1.5k total citations
41 papers, 1.1k citations indexed

About

Jun Tanaka is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Jun Tanaka has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Immunology and 5 papers in Surgery. Recurrent topics in Jun Tanaka's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Glycosylation and Glycoproteins Research (3 papers) and FOXO transcription factor regulation (3 papers). Jun Tanaka is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Glycosylation and Glycoproteins Research (3 papers) and FOXO transcription factor regulation (3 papers). Jun Tanaka collaborates with scholars based in Japan, United States and Germany. Jun Tanaka's co-authors include Yasuyuki Nomura, Yasunobu Okuma, Toru Hosoi, Domenico Accili, Ronald A. DePinho, Carrie L. Welch, Michihiro Matsumoto, Shuiqing Yu, Osamu Sakai and T. Kasuya and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Applied and Environmental Microbiology.

In The Last Decade

Jun Tanaka

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Tanaka Japan 16 427 274 254 166 149 41 1.1k
Matthew D. Wortman United States 19 833 2.0× 271 1.0× 257 1.0× 130 0.8× 166 1.1× 28 1.6k
Yuki Nakamura Japan 18 343 0.8× 257 0.9× 327 1.3× 235 1.4× 89 0.6× 54 1.1k
Émilie Caron France 18 313 0.7× 381 1.4× 590 2.3× 222 1.3× 112 0.8× 32 1.5k
Warren G. Hill United States 28 856 2.0× 221 0.8× 155 0.6× 81 0.5× 206 1.4× 60 1.9k
Takeshi Hasegawa Japan 21 430 1.0× 210 0.8× 92 0.4× 203 1.2× 185 1.2× 102 1.8k
Madhu Varma United States 16 402 0.9× 318 1.2× 300 1.2× 138 0.8× 51 0.3× 33 1.4k
Élisabeth André France 16 627 1.5× 232 0.8× 217 0.9× 65 0.4× 105 0.7× 20 1.4k
Cyril Couturier France 17 744 1.7× 145 0.5× 425 1.7× 198 1.2× 117 0.8× 40 1.4k
Torben Særmark Denmark 23 664 1.6× 121 0.4× 108 0.4× 107 0.6× 133 0.9× 63 1.4k
Eric Grazzini France 17 605 1.4× 259 0.9× 357 1.4× 172 1.0× 105 0.7× 26 1.6k

Countries citing papers authored by Jun Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tanaka. A scholar is included among the top collaborators of Jun Tanaka 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 Jun Tanaka. Jun Tanaka 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.
2.
Bellone, Rebecca R., Jun Tanaka, R. Bryan Sutton, et al.. (2023). A de novo 2.3 kb structural variant in MITF explains a novel splashed white phenotype in a Thoroughbred family. Animal Genetics. 54(6). 752–762. 3 indexed citations
3.
Hayama, Naoki, Jun Tanaka, Hiroto Takiguchi, et al.. (2020). Cytokine/Chemokine/Growth Factor Levels in Malignant Pleural Effusion of Non-small Cell Lung Cancer.. 45(4). 224–229. 5 indexed citations
4.
Tanaka, Jun, et al.. (2018). Effective concentration of intravenous immunoglobulin for neutralizing Panton-Valentine leukocidin in human blood. Journal of Infection and Chemotherapy. 24(5). 383–388. 5 indexed citations
5.
Shimozuru, Michito, et al.. (2016). Seasonal changes in the expression of energy metabolism-related genes in white adipose tissue and skeletal muscle in female Japanese black bears. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 196-197. 38–47. 23 indexed citations
6.
Shimozuru, Michito, et al.. (2013). Pregnancy during hibernation in Japanese black bears: effects on body temperature and blood biochemical profiles. Journal of Mammalogy. 94(3). 618–627. 18 indexed citations
7.
Tsuchiya, Kyoichiro, Jun Tanaka, Shuiqing Yu, et al.. (2012). FoxOs Integrate Pleiotropic Actions of Insulin in Vascular Endothelium to Protect Mice from Atherosclerosis. Cell Metabolism. 15(3). 372–381. 135 indexed citations
8.
Tanaka, Jun, Yuzuru Sakamoto, Akiko Sugahara–Tobinai, et al.. (2012). Intravenous immunoglobulin suppresses IL-10 production by activated B cells in vitro. 2(4). 149–160. 4 indexed citations
9.
Tanaka, Jun, et al.. (2010). Gene manipulation of chick embryos in vitro, early chick culture, and long survival in transplanted eggs. Development Growth & Differentiation. 52(7). 629–634. 7 indexed citations
10.
11.
Tanaka, Jun, Li Qiang, Alexander S. Banks, et al.. (2009). Foxo1 Links Hyperglycemia to LDL Oxidation and Endothelial Nitric Oxide Synthase Dysfunction in Vascular Endothelial Cells. Diabetes. 58(10). 2344–2354. 81 indexed citations
12.
Abe, Koichi, et al.. (2007). Enterohemorrhagic <i>Escherichia coli</i> O157 Infection Presumably Caused by Contact with Infected Cows, Aomori Prefecture, Japan. Japanese Journal of Infectious Diseases. 60(5). 321–322. 4 indexed citations
13.
Hayashi, Kanako, et al.. (2002). The cooperative action of angiotensin II with subluteolytic administration of PGF2α in inducing luteolysis and oestrus in the cow. Reproduction. 124(2). 311–315. 17 indexed citations
14.
Tobe, Kazuyuki, Ryo Suzuki, Masashi Aoyama, et al.. (2001). Increased Expression of the Sterol Regulatory Element-binding Protein-1 Gene in Insulin Receptor Substrate-2−/−Mouse Liver. Journal of Biological Chemistry. 276(42). 38337–38340. 110 indexed citations
15.
Tanaka, Jun, Ryoichi Ichikawa, Masahiko Watanabe, Kohichi Tanaka, & Yoshiro Inoue. (1997). Extra-junctional localization of glutamate transporter EAAT4 at excitatory Purkinje cell synapses. Neuroreport. 8(11). 2461–2464. 54 indexed citations
16.
Shozu, Makio, et al.. (1997). Antenatal Detection of Meckel-Grüber Syndrome in Only One Dizygotic Twin following in vitro Fertilization and Embryo Transfer. Gynecologic and Obstetric Investigation. 43(2). 142–144. 5 indexed citations
17.
Imamura, Masahiro, Xiaming Zhu, Mingzhe Han, et al.. (1996). In vitro expansion of murine hematopoietic progenitor cells by leukemia inhibitory factor, stem cell factor, and interleukin-1 beta.. PubMed. 24(11). 1280–8. 8 indexed citations
18.
Sawada, Koji, Paul S. Malchesky, Jun Tanaka, et al.. (1994). Defective leukocyte function‐related cryoprecipitable protein in Cryoglobulinemia. Journal of Clinical Apheresis. 9(4). 210–215. 1 indexed citations
19.
Mikami, Mikio, Kiyoshi Takamatsu, Jun Tanaka, et al.. (1993). Characteristic alteration in the concentration of IV 3NeuAc α-nLc4Cer in the villi of human placenta during the gestational period. Placenta. 14(4). 407–416. 3 indexed citations
20.
Fujii, Masashi, et al.. (1984). [Antitumor activity of cisplatin in human plasma].. PubMed. 11(9). 1875–6. 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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