T Kishimoto

1.3k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

T Kishimoto is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, T Kishimoto has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Surgery. Recurrent topics in T Kishimoto's work include Veterinary Oncology Research (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). T Kishimoto is often cited by papers focused on Veterinary Oncology Research (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). T Kishimoto collaborates with scholars based in Japan and Russia. T Kishimoto's co-authors include Shizuo Akira, Hideo Yawata, Masashi Narazaki, Tetsuya Taga, Masaaki Murakami, Masahiko Hibi, Kiyoshi Yasukawa, Munehiro Hamaguchi, Masabumi Minami and Masayoshi Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

T Kishimoto

11 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Critical cytoplasmic region of the interleukin 6 signal transducer gp130 is conserved in the cytokine receptor family.

1991 518 citations Masaaki Murakami, Masashi Narazaki et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T Kishimoto Japan	7	672	554	423	187	97	14	1.2k
Peter C. Heinrich Germany	13	686 1.0×	595 1.1×	352 0.8×	172 0.9×	49 0.5×	13	1.2k
Naomi S. Sprigg Australia	9	1.2k 1.8×	933 1.7×	546 1.3×	188 1.0×	43 0.4×	11	1.7k
Jerald E. Mullersman United States	16	561 0.8×	506 0.9×	363 0.9×	154 0.8×	32 0.3×	27	1.0k
Petra Vollmer Germany	16	607 0.9×	406 0.7×	623 1.5×	253 1.4×	91 0.9×	19	1.5k
Z Zhong United States	9	799 1.2×	762 1.4×	698 1.7×	155 0.8×	24 0.2×	9	1.7k
Kazuhito Sakamoto United States	18	399 0.6×	268 0.5×	350 0.8×	128 0.7×	51 0.5×	31	1.1k
Jared F. Purton Australia	15	602 0.9×	1.8k 3.3×	545 1.3×	123 0.7×	59 0.6×	16	2.3k
Masahiko Ohtsuki Japan	13	572 0.9×	420 0.8×	906 2.1×	180 1.0×	33 0.3×	21	1.7k
Mary Barbara United States	15	301 0.4×	235 0.4×	768 1.8×	162 0.9×	221 2.3×	22	1.3k
Garry B. Udy New Zealand	6	664 1.0×	433 0.8×	614 1.5×	174 0.9×	41 0.4×	9	1.5k

Countries citing papers authored by T Kishimoto

Since Specialization

Citations

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

Fields of papers citing papers by T Kishimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kishimoto

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

All Works

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14 of 14 papers shown

1.

Yamane, Kenji, et al.. (2024). A chatbot to improve adherence to internet-based cognitive–behavioural therapy among workers with subthreshold depression: a randomised controlled trial. SHILAP Revista de lepidopterología. 27(1). e300881–e300881. 12 indexed citations

2.

Yoshimura, Hisashi, Masaki Michishita, T Kishimoto, et al.. (2023). Histological, immunohistochemical and ultrastructural features of polyglucosan bodies in uterine smooth muscle of pet rabbits (Oryctolagus cuniculus). Journal of Comparative Pathology. 201. 28–32.

3.

Yamamoto, Masami, Keiko Ito, T Kishimoto, et al.. (2023). Infective endocarditis with systemic bacterial embolism caused by Staphylococcus aureus in a free-ranging Amami rabbit (Pentalagus furnessi). Journal of Comparative Pathology. 201. 23–27. 1 indexed citations

4.

Matsumoto, Kana, T Kishimoto, Masami Yamamoto, et al.. (2023). Apocrine carcinoma-and-malignant myoepithelioma in a dog: a case of simultaneous malignant progression of both luminal epithelium and myoepithelium. Journal of Veterinary Diagnostic Investigation. 35(6). 789–794.

5.

Kishimoto, T, et al.. (2022). A Case of Plasma Cell Neoplasm and Uterine Fibroid in Capybara. Japanese Journal of Zoo and Wildlife Medicine. 27(1). 29–34.

6.

Kishimoto, T, Daigo Azakami, Makoto Ujike, et al.. (2017). Identification of tumor-initiating cells derived from two canine rhabdomyosarcoma cell lines. Journal of Veterinary Medical Science. 79(7). 1155–1162. 6 indexed citations

7.

Michishita, Masaki, T Kishimoto, Hisashi Yoshimura, et al.. (2017). Pancreatic neuroendocrine carcinoma with exocrine differentiation in a young cat. Journal of Veterinary Diagnostic Investigation. 29(3). 325–330. 7 indexed citations

8.

Kishimoto, T, Hisashi Yoshimura, Noriko Saito, et al.. (2015). Salivary Gland Epithelial–Myoepithelial Carcinoma with High-Grade Transformation in a Dog. Journal of Comparative Pathology. 153(2-3). 111–115. 6 indexed citations

9.

Kishimoto, T, et al.. (2014). A new microcolumn-type microchip for examining the expression of chimeric fusion genes using a nucleic acid sandwich hybridization technique. Journal of Chromatography B. 970. 60–67. 1 indexed citations

10.

Yoshimura, Hisashi, et al.. (2014). Differences in Indicators of Malignancy Between Luminal Epithelial Cell Type and Myoepithelial Cell Type of Simple Solid Carcinoma in the Canine Mammary Gland. Veterinary Pathology. 51(6). 1090–1095. 24 indexed citations

11.

Minami, Masabumi, Masayoshi Inoue, Sheng Wei, et al.. (1996). STAT3 activation is a critical step in gp130-mediated terminal differentiation and growth arrest of a myeloid cell line.. Proceedings of the National Academy of Sciences. 93(9). 3963–3966. 307 indexed citations

12.

Natsuka, Shunji, Shizuo Akira, Yukihiro Nishio, et al.. (1992). Macrophage differentiation-specific expression of NF-IL6, a transcription factor for interleukin-6. Blood. 79(2). 460–466. 271 indexed citations

13.

Natsuka, Shunji, Shizuo Akira, Yukihiro Nishio, et al.. (1992). Macrophage differentiation-specific expression of NF-IL6, a transcription factor for interleukin-6. Blood. 79(2). 460–466. 12 indexed citations

14.

Murakami, Masaaki, Masashi Narazaki, Masahiko Hibi, et al.. (1991). Critical cytoplasmic region of the interleukin 6 signal transducer gp130 is conserved in the cytokine receptor family.. Proceedings of the National Academy of Sciences. 88(24). 11349–11353. 518 indexed citations breakdown →

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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