Takashi Nanba

495 total citations
7 papers, 377 citations indexed

About

Takashi Nanba is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Takashi Nanba has authored 7 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Takashi Nanba's work include Immunodeficiency and Autoimmune Disorders (3 papers), Diabetes and associated disorders (2 papers) and interferon and immune responses (1 paper). Takashi Nanba is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (3 papers), Diabetes and associated disorders (2 papers) and interferon and immune responses (1 paper). Takashi Nanba collaborates with scholars based in Japan, India and Germany. Takashi Nanba's co-authors include Mikio Watanabe, Naoya Inoue, Yoshinori Iwatani, Takashi Akamizu, Yasumasa Iwatani, Fumiaki Hayashi, Hiroya Yamada, Jun Koyama, Kunihiro Yoshida and Shu-ichi Ikeda and has published in prestigious journals such as Thyroid, Clinical & Experimental Immunology and Xenobiotica.

In The Last Decade

Takashi Nanba

7 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takashi Nanba Japan	7	147	124	120	94	50	7	377
Daria Domańska Poland	13	71 0.5×	135 1.1×	46 0.4×	88 0.9×	8 0.2×	18	328
Kirsty R. Greenow United Kingdom	9	55 0.4×	185 1.5×	55 0.5×	35 0.4×	33 0.7×	13	383
Twishi Gulati Australia	9	56 0.4×	218 1.8×	41 0.3×	36 0.4×	18 0.4×	13	466
Joana Oliveira Portugal	8	56 0.4×	106 0.9×	67 0.6×	106 1.1×	12 0.2×	18	415
Pei Kee Goh Australia	6	182 1.2×	285 2.3×	50 0.4×	43 0.5×	20 0.4×	8	564
Makiko Hoshiya United States	7	41 0.3×	152 1.2×	31 0.3×	62 0.7×	26 0.5×	7	335
Hiromichi Nagano Japan	8	104 0.7×	228 1.8×	19 0.2×	49 0.5×	19 0.4×	9	426
Liqiong Xue China	12	83 0.6×	147 1.2×	79 0.7×	66 0.7×	6 0.1×	33	411
Lih-Yuh C. Wing Taiwan	8	207 1.4×	85 0.7×	30 0.3×	59 0.6×	9 0.2×	11	459
Johnny Yin United States	4	185 1.3×	185 1.5×	21 0.2×	30 0.3×	22 0.4×	5	341

Countries citing papers authored by Takashi Nanba

Since Specialization

Citations

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

Fields of papers citing papers by Takashi Nanba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Nanba

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

All Works

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7 of 7 papers shown

1.

Watanabe, Mikio, Naoya Inoue, Takashi Nanba, et al.. (2018). Polymorphisms in Th17-related genes and the pathogenesis of autoimmune thyroid disease. Autoimmunity. 51(7). 360–369. 9 indexed citations

2.

Nanba, Takashi, Mikio Watanabe, Naoya Inoue, & Yoshinori Iwatani. (2009). Increases of the Th1/Th2 Cell Ratio in Severe Hashimoto's Disease and in the Proportion of Th17 Cells in Intractable Graves' Disease. Thyroid. 19(5). 495–501. 171 indexed citations

3.

Hagihara, Katsunobu, Miho Kazui, Takashi Nanba, et al.. (2009). Comparison of formation of thiolactones and active metabolites of prasugrel and clopidogrel in rats and dogs. Xenobiotica. 39(3). 218–226. 30 indexed citations

4.

Hayashi, Fumiaki, Mikio Watanabe, Takashi Nanba, et al.. (2009). Association of the −31C/T functional polymorphism in the interleukin-1β gene with the intractability of Graves' disease and the proportion of T helper type 17 cells. Clinical & Experimental Immunology. 158(3). 281–286. 54 indexed citations

5.

Inoue, Naoya, et al.. (2009). Involvement of functional polymorphisms in theTNFAgene in the pathogenesis of autoimmune thyroid diseases and production of anti-thyrotropin receptor antibody. Clinical & Experimental Immunology. 156(2). 199–204. 27 indexed citations

6.

Yamada, Hiroya, Mikio Watanabe, Takashi Nanba, Takashi Akamizu, & Yoshinori Iwatani. (2008). The +869T/C polymorphism in the transforming growth factor-β1 gene is associated with the severity and intractability of autoimmune thyroid disease. Clinical & Experimental Immunology. 151(3). 379–382. 44 indexed citations

7.

Yazaki, Masahide, Kunihiro Yoshida, Akinori Nakamura, et al.. (1999). Clinical Characteristics of Aged Becker Muscular Dystrophy Patients with Onset after 30 Years. European Neurology. 42(3). 145–149. 42 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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