Takatoshi Kawakami

1.8k total citations · 1 hit paper
12 papers, 1.5k citations indexed

About

Takatoshi Kawakami is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Takatoshi Kawakami has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Takatoshi Kawakami's work include interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Salmonella and Campylobacter epidemiology (3 papers). Takatoshi Kawakami is often cited by papers focused on interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Salmonella and Campylobacter epidemiology (3 papers). Takatoshi Kawakami collaborates with scholars based in Japan, United States and Canada. Takatoshi Kawakami's co-authors include Pao‐Tien Chuang, Tadatsugu Taniguchi, Miao-Hsueh Chen, Yajun Li, Shan-Mei Xu, T. Matsuyama, Tak W. Mak, Motoo Kitagawa, Nobuyuki Tanaka and Thomas M. Kündig and has published in prestigious journals such as Cell, Nucleic Acids Research and Genes & Development.

In The Last Decade

Takatoshi Kawakami

12 papers receiving 1.5k citations

Hit Papers

Targeted disruption of IRF-1 or IRF-2 results in abnormal... 1993 2026 2004 2015 1993 100 200 300 400 500
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.

  1. Targeted disruption of IRF-1 or IRF-2 results in abnormal type I IFN gene induction and aberrant lymphocyte development
    1993 566 citations T. Matsuyama, Tohru Kimura et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takatoshi Kawakami Japan 9 754 734 457 244 161 12 1.5k
Joseph H. Coggin United States 21 639 0.8× 775 1.1× 388 0.8× 276 1.1× 73 0.5× 73 1.5k
Sjef Verbeek Netherlands 13 905 1.2× 1.2k 1.7× 423 0.9× 192 0.8× 77 0.5× 14 2.2k
Javier Hernández France 26 668 0.9× 1.2k 1.6× 470 1.0× 182 0.7× 89 0.6× 49 2.0k
Brigitte Quatannens France 18 887 1.2× 312 0.4× 130 0.3× 203 0.8× 382 2.4× 34 1.6k
Taku Naito Japan 22 1.2k 1.7× 478 0.7× 186 0.4× 356 1.5× 99 0.6× 26 1.9k
Gongxian Liao United States 20 420 0.6× 1.0k 1.4× 309 0.7× 195 0.8× 322 2.0× 27 1.6k
L. Otten Switzerland 15 565 0.7× 1.8k 2.5× 417 0.9× 139 0.6× 141 0.9× 23 2.3k
Maurizio Ceppi Switzerland 16 782 1.0× 562 0.8× 205 0.4× 109 0.4× 472 2.9× 34 1.5k
Carla Sebastiani Italy 13 973 1.3× 276 0.4× 456 1.0× 186 0.8× 100 0.6× 34 1.6k
Wesley A. Dunnick United States 24 1.0k 1.4× 1.2k 1.6× 219 0.5× 138 0.6× 119 0.7× 57 1.9k

Countries citing papers authored by Takatoshi Kawakami

Since Specialization
Citations

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

Fields of papers citing papers by Takatoshi Kawakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takatoshi Kawakami

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

All Works

12 of 12 papers shown
1.
Chen, Miao-Hsueh, Nan Gao, Takatoshi Kawakami, & Pao‐Tien Chuang. (2005). Mice Deficient in the Fused Homolog Do Not Exhibit Phenotypes Indicative of Perturbed Hedgehog Signaling during Embryonic Development. Molecular and Cellular Biology. 25(16). 7042–7053. 90 indexed citations
2.
Chen, Miao-Hsueh, Yajun Li, Takatoshi Kawakami, Shan-Mei Xu, & Pao‐Tien Chuang. (2004). Palmitoylation is required for the production of a soluble multimeric Hedgehog protein complex and long-range signaling in vertebrates. Genes & Development. 18(6). 641–659. 287 indexed citations
3.
Kawakami, Takatoshi, et al.. (2002). Mouse dispatched mutants fail to distribute hedgehog proteins and are defective in hedgehog signaling. Development. 129(24). 5753–5765. 123 indexed citations
4.
Haneda, Takeshi, Nobuhiko Okada, Noriko Nakazawa, Takatoshi Kawakami, & Hirofumi Danbara. (2001). Complete DNA Sequence and Comparative Analysis of the 50-Kilobase Virulence Plasmid of Salmonella enterica Serovar Choleraesuis. Infection and Immunity. 69(4). 2612–2620. 65 indexed citations
5.
Matsui, Hidenori, Takatoshi Kawakami, Satoshi ISHIKAWA, Hirofumi Danbara, & Paul A. Gulig. (2000). Constitutively Expressed phoP Inhibits Mouse‐Virulence of Salmonella typhimurium in an Spv‐Dependent Manner. Microbiology and Immunology. 44(6). 447–454. 17 indexed citations
6.
Kawakami, Takatoshi, Aki Kaneko, Nobuhiko Okada, et al.. (1999). TTG as the Initiation Codon of Salmonella slyA, a Gene Required for Survival within Macrophages. Microbiology and Immunology. 43(4). 351–357. 7 indexed citations
7.
Kawakami, Takatoshi, Masahito Matsumoto, Mitsuharu Sato, et al.. (1995). Possible involvement of the transcription factor ISGF3γ in virus‐induced expression of the IFN‐β gene. FEBS Letters. 358(3). 225–229. 43 indexed citations
8.
Matsuyama, T., Alex Grossman, Hans-Willi Mittrücker, et al.. (1995). Molecular cloning ofLSIRF, a lymphoid-specific member of the interferon regulatory factor family that binds the interferon-stimulated response element (ISRE). Nucleic Acids Research. 23(12). 2127–2136. 209 indexed citations
9.
Tanaka, Nobuyuki, Takatoshi Kawakami, & Tadatsugu Taniguchi. (1993). Recognition DNA Sequences of Interferon Regulatory Factor 1 (IRF-1) and IRF-2, Regulators of Cell Growth and the Interferon System. Molecular and Cellular Biology. 13(8). 4531–4538. 111 indexed citations
10.
Matsuyama, T., Tohru Kimura, Motoo Kitagawa, et al.. (1993). Targeted disruption of IRF-1 or IRF-2 results in abnormal type I IFN gene induction and aberrant lymphocyte development. Cell. 75(1). 83–97. 566 indexed citations breakdown →
11.
Komiyama, Kanki, Shinji Funayama, Masami Ishibashi, et al.. (1991). A new antibiotic, okicenone. I. Taxonomy, fermentation, isolation and biological characteristics.. The Journal of Antibiotics. 44(8). 814–818. 5 indexed citations
12.
Kawakami, Takatoshi, et al.. (1989). Potentiation of cytotoxicity and antitumor activity of adenosine analogs by the adenosine deaminase inhibitor adecypenol.. The Journal of Antibiotics. 42(11). 1722–1724. 6 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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