Yuji Chatani

1.6k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Yuji Chatani is a scholar working on Molecular Biology, Cell Biology and Hepatology. According to data from OpenAlex, Yuji Chatani has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Hepatology. Recurrent topics in Yuji Chatani's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Liver physiology and pathology (3 papers) and Cancer Mechanisms and Therapy (2 papers). Yuji Chatani is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Liver physiology and pathology (3 papers) and Cancer Mechanisms and Therapy (2 papers). Yuji Chatani collaborates with scholars based in Japan. Yuji Chatani's co-authors include Michiaki Kohno, Rika Hoshino, Hiroya Oka, Takashi Tsuruo, Jiro Fujimoto, Takao Yamori, Shigeki Arii, Yutaka Shimada, Osamu Yoshida and Hiromi Wada and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

Yuji Chatani

15 papers receiving 1.4k citations

Hit Papers

Constitutive activation of the 41-/43-kDa mitogen-activat... 1999 2026 2008 2017 1999 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. Constitutive activation of the 41-/43-kDa mitogen-activated protein kinase signaling pathway in human tumors
    1999 574 citations Rika Hoshino, Yuji Chatani et al. Oncogene profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuji Chatani Japan 12 1.0k 346 206 181 152 15 1.4k
Rika Hoshino Japan 5 978 1.0× 361 1.0× 197 1.0× 170 0.9× 111 0.7× 7 1.2k
Andrew Chantry United Kingdom 24 1.4k 1.4× 415 1.2× 326 1.6× 103 0.6× 178 1.2× 43 1.9k
Alice Loo United States 16 1.2k 1.2× 642 1.9× 252 1.2× 220 1.2× 157 1.0× 19 2.0k
Siao Ping Tsai United States 14 997 1.0× 623 1.8× 189 0.9× 121 0.7× 142 0.9× 20 1.9k
Xiliang Zha China 26 1.1k 1.1× 273 0.8× 292 1.4× 105 0.6× 258 1.7× 78 1.8k
Laura Gualandi Sweden 9 966 1.0× 326 0.9× 245 1.2× 64 0.4× 152 1.0× 14 1.3k
Wenqing Yao United States 17 557 0.6× 437 1.3× 253 1.2× 187 1.0× 82 0.5× 67 1.5k
Sujata Persad Canada 19 1.4k 1.4× 385 1.1× 303 1.5× 190 1.0× 336 2.2× 37 2.1k
Peter K. Harris United States 14 620 0.6× 267 0.8× 239 1.2× 78 0.4× 79 0.5× 33 1.3k
Mariko Fukuma Japan 16 707 0.7× 390 1.1× 107 0.5× 85 0.5× 262 1.7× 35 1.3k

Countries citing papers authored by Yuji Chatani

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Chatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Chatani

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

All Works

15 of 15 papers shown
1.
Chatani, Yuji. (2005). [Minodronic acid hydrate as a new therapeutic agent for osteoporosis].. PubMed. 15(1). 9–14. 6 indexed citations
2.
Oka, Hiroya, Yuji Chatani, Michiaki Kohno, Mutsushi Kawakita, & Osamu Ogawa. (2005). Constitutive activation of the 41‐ and 43‐kDa mitogen‐activated protein (MAP) kinases in the progression of prostate cancer to an androgen‐independent state. International Journal of Urology. 12(10). 899–905. 12 indexed citations
3.
Hoshino, Rika, Yuji Chatani, Takao Yamori, et al.. (1999). Constitutive activation of the 41-/43-kDa mitogen-activated protein kinase signaling pathway in human tumors. Oncogene. 18(3). 813–822. 574 indexed citations breakdown →
4.
Tanimura, Susumu, Yuji Chatani, Rika Hoshino, et al.. (1998). Activation of the 41/43 kDa mitogen-activated protein kinase signaling pathway is required for hepatocyte growth factor-induced cell scattering. Oncogene. 17(1). 57–65. 83 indexed citations
5.
Nagamine, Kentaro, Sayumi Shibamoto, Kenji Takeuchi, et al.. (1996). Dissociation of C‐fos Induction and Mitogen‐Activated‐Protein Kinase Activation from the Hepatocyte‐Growth‐Factor‐Induced Motility Response in Human Gastric Carcinoma Cells. European Journal of Biochemistry. 236(2). 476–481. 16 indexed citations
6.
Oka, Hiroya, Yuji Chatani, Rika Hoshino, et al.. (1995). Constitutive activation of mitogen-activated protein (MAP) kinases in human renal cell carcinoma.. PubMed. 55(18). 4182–7. 271 indexed citations
7.
8.
Nakashima, Shigeru, Yuji Chatani, Mitsuhiro Nakamura, et al.. (1994). Tyrosine Phosphorylation and Activation of Mitogen-Activated Protein Kinases by Thrombin in Human Platelets: Possible Involvement in Late Arachidonic Acid Release. Biochemical and Biophysical Research Communications. 198(2). 497–503. 36 indexed citations
9.
Kohno, Michiaki, et al.. (1993). Mitogen-induced tyrosine phosphorylation of 41 kDa and 43 kDa proteins.. 42. 90. 1 indexed citations
10.
Hattori, Akira, Eriko Tanaka, K. Murase, et al.. (1993). Tumor necrosis factor stimulates the synthesis and secretion of biologically active nerve growth factor in non-neuronal cells.. Journal of Biological Chemistry. 268(4). 2577–2582. 148 indexed citations
11.
Chatani, Yuji, et al.. (1992). Hepatocyte growth factor rapidly induces the tyrosine phosphorylation of 41-kDa and 43-kDa proteins in mouse keratinocytes. Biochemical and Biophysical Research Communications. 185(3). 860–866. 22 indexed citations
12.
Tamemoto, Hiroyuki, Takashi Kadowaki, Kazuyuki Tobe, et al.. (1992). Biphasic activation of two mitogen-activated protein kinases during the cell cycle in mammalian cells.. Journal of Biological Chemistry. 267(28). 20293–20297. 145 indexed citations
13.
Chatani, Yuji, Kazuyuki Tobe, Akira Hattori, et al.. (1992). Mitogen-induced tyrosine-phosphorylated 41- and 43-kDa proteins are family members of extracellular signal-regulated kinases/microtubule-associated protein 2 kinases.. Journal of Biological Chemistry. 267(14). 9911–9916. 29 indexed citations
14.
Kohno, Michiaki, et al.. (1992). Mitogen-induced tyrosine phosphorylation of 41 kDa and 43 kDa proteins. Potential role in integrating multiple mitogenic signalling pathways. Biochemical Journal. 287(3). 917–924. 8 indexed citations
15.

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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