Yasuji Furutani

6.1k total citations · 4 hit papers
34 papers, 4.9k citations indexed

About

Yasuji Furutani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Yasuji Furutani has authored 34 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Animal Science and Zoology. Recurrent topics in Yasuji Furutani's work include Receptor Mechanisms and Signaling (12 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Ion channel regulation and function (4 papers). Yasuji Furutani is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Ion channel regulation and function (4 papers). Yasuji Furutani collaborates with scholars based in Japan and United States. Yasuji Furutani's co-authors include Shosaku Numa, Masaharu Noda, Tadaaki Hirose, Seiichi Inayama, Mitsuyoshi Toyosato, Hideo Takahashi, Hideo Takahashi, Tsutomu Tanabe, Shigetada Nakanishi and Michiko Asai and has published in prestigious journals such as Nature, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Yasuji Furutani

34 papers receiving 4.5k citations

Hit Papers

Cloning and sequence analysis of cDNA for bovine adrenal ... 1982 2026 1996 2011 1982 1982 1983 1982 250 500 750
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. Cloning and sequence analysis of cDNA for bovine adrenal preproenkephalin
    1982 761 citations Masaharu Noda, Yasuji Furutani et al. Nature profile →
  2. Cloning and sequence analysis of cDNA for porcine β-neo-endorphin/dynorphin precursor
    1982 634 citations Yasuji Furutani, Hideo Takahashi et al. Nature profile →
  3. Structural homology of Torpedo californica acetylcholine receptor subunits
    1983 621 citations Masaharu Noda, Hideo Takahashi et al. Nature profile →
  4. Primary structure of α-subunit precursor of Torpedo californica acetylcholine receptor deduced from cDNA sequence
    1982 557 citations Masaharu Noda, Hideo Takahashi et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuji Furutani Japan 23 3.1k 2.0k 593 468 441 34 4.9k
Edward Herbert United States 33 3.3k 1.1× 2.0k 1.0× 423 0.7× 480 1.0× 224 0.5× 78 5.1k
James Douglass United States 26 2.1k 0.7× 1.7k 0.9× 345 0.6× 608 1.3× 240 0.5× 36 4.0k
E.E. Baulieu France 40 2.3k 0.7× 780 0.4× 627 1.1× 195 0.4× 602 1.4× 91 4.9k
Kwen‐Jen Chang United States 39 3.8k 1.2× 3.5k 1.8× 182 0.3× 1.1k 2.3× 155 0.4× 72 5.6k
L C Mahan United States 22 1.9k 0.6× 1.3k 0.7× 185 0.3× 292 0.6× 171 0.4× 35 3.0k
Tommie W. Redding United States 40 1.6k 0.5× 1.1k 0.5× 350 0.6× 348 0.7× 154 0.3× 128 5.5k
Jeffrey M. Stadel United States 39 4.1k 1.3× 2.1k 1.1× 141 0.2× 784 1.7× 519 1.2× 83 5.8k
Michael J. Shipston United Kingdom 39 3.1k 1.0× 1.4k 0.7× 531 0.9× 288 0.6× 153 0.3× 109 4.5k
D.H. Coy United States 46 3.5k 1.1× 3.3k 1.7× 694 1.2× 738 1.6× 121 0.3× 238 7.9k
Lucia Negri Italy 40 2.5k 0.8× 2.6k 1.3× 376 0.6× 1.0k 2.2× 190 0.4× 133 4.7k

Countries citing papers authored by Yasuji Furutani

Since Specialization
Citations

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

Fields of papers citing papers by Yasuji Furutani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuji Furutani

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuji Furutani. A scholar is included among the top collaborators of Yasuji Furutani 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 Yasuji Furutani. Yasuji Furutani 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.
Teranishi, Yasuhiro, Masaru Ueda, T Takemura, et al.. (2020). Sphingomyelin Deacylase, the Enzyme Involved in the Pathogenesis of Atopic Dermatitis, Is Identical to the β-Subunit of Acid Ceramidase. International Journal of Molecular Sciences. 21(22). 8789–8789. 10 indexed citations
2.
Hoch, Ute, Jennifer Lynch, Yuji Sato, et al.. (2008). Voreloxin, formerly SNS-595, has potent activity against a broad panel of cancer cell lines and in vivo tumor models. Cancer Chemotherapy and Pharmacology. 64(1). 53–65. 52 indexed citations
3.
Sawa, Masaaki, et al.. (2005). Tryptamine-based human β3-adrenergic receptor agonists. Part 3: Improved oral bioavailability via modification of the sulfonamide moiety. Bioorganic & Medicinal Chemistry Letters. 15(4). 1061–1064. 8 indexed citations
4.
Harada, Hiroshi, Yoshimi Hirokawa, Kenji Suzuki, et al.. (2005). Discovery of a Novel and Potent Human and Rat .BETA.3-Adrenergic Receptor Agonist, [3-[(2R)-[[(2R)-(3-Chlorophenyl)-2-hydroxyethyl]amino]propyl]-1H-indol-7-yloxy]acetic Acid. Chemical and Pharmaceutical Bulletin. 53(2). 184–198. 29 indexed citations
5.
Sawa, Masaaki, Hiroshi Harada, Haruhisa Yamashita, et al.. (2004). Discovery of 1,7-cyclized indoles as a new class of potent and highly selective human β3-adrenergic receptor agonists with high cell permeability. Bioorganic & Medicinal Chemistry. 13(3). 855–868. 22 indexed citations
6.
Sawa, Masaaki, et al.. (2004). Tryptamine-based human β3-adrenergic receptor agonists. Part 2: SAR of the methylene derivatives. Bioorganic & Medicinal Chemistry Letters. 14(24). 5963–5966. 5 indexed citations
7.
Sawa, Masaaki, et al.. (2004). Tryptamine-based human β3-adrenergic receptor agonists. Part 1: SAR studies of the 7-position of the indole ring. Bioorganic & Medicinal Chemistry Letters. 14(24). 5959–5962. 8 indexed citations
8.
Harada, Hiroshi, Yoshimi Hirokawa, Kenji Suzuki, et al.. (2003). Novel and potent human and rat β3-Adrenergic receptor agonists containing substituted 3-indolylalkylamines. Bioorganic & Medicinal Chemistry Letters. 13(7). 1301–1305. 35 indexed citations
9.
Matsuoka, Rumiko, Tatsuya Sawamura, Kaori Yamada, et al.. (1996). Human endothelin converting enzyme gene (ECE1) mapped to chromosomal region 1p36.1. Cytogenetic and Genome Research. 72(4). 322–324. 6 indexed citations
10.
Matsuoka, Rumiko, et al.. (1995). Molecular characterization of a novel atrial-specific myosin heavy-chain gene expressed in the chick embryo.. PubMed. 67(1). 42–9. 17 indexed citations
11.
Furutani, Yasuji, Hideki Nomura, Mitsue Notake, et al.. (1989). Cloning and sequencing of the cDNA for human monocyte chemotactic and activating factor (MCAF). Biochemical and Biophysical Research Communications. 159(1). 249–255. 227 indexed citations
12.
Yamada, Masaaki, Yasuji Furutani, Mitsue Notake, et al.. (1985). Efficient production of human tumour necrosis factor in Escherichia coli. Journal of Biotechnology. 3(3). 141–153. 43 indexed citations
13.
Jingami, Hisato, Noboru Mizuno, Hideo Takahashi, et al.. (1985). Cloning and sequence analysis of cDNA for rat corticotropin‐releasing factor precursor. FEBS Letters. 191(1). 63–66. 188 indexed citations
14.
Takai, Toshiyuki, Masaharu Noda, Masayoshi Mishina, et al.. (1985). Cloning, sequencing and expression of cDNA for a novel subunit of acetylcholine receptor from calf muscle. Nature. 315(6022). 761–764. 129 indexed citations
15.
Tanabe, Tsutomu, Masaharu Noda, Yasuji Furutani, et al.. (1984). Primary structure of β subunit precursor of calf muscle acetylcholine receptor deduced from cDNA sequence. European Journal of Biochemistry. 144(1). 11–17. 39 indexed citations
16.
Furutani, Yasuji, et al.. (1984). Inversions in Mitochondrial DNA of a Petite Mutant of Yeast. The Journal of Biochemistry. 96(5). 1559–1564. 2 indexed citations
17.
Noda, Masaharu, Yasuji Furutani, Hideo Takahashi, et al.. (1983). Cloning and sequence analysis of calf cDNA and human genomic DNA encoding α-subunit precursor of muscle acetylcholine receptor. Nature. 305(5937). 818–823. 339 indexed citations
18.
Shibahara, Shigeki, Y. Morimoto, Yasuji Furutani, et al.. (1983). Isolation and sequence analysis of the human corticotropin-releasing factor precursor gene.. The EMBO Journal. 2(5). 775–779. 335 indexed citations
19.
Noda, Masaharu, Yasuji Furutani, Hideo Takahashi, et al.. (1982). Cloning and sequence analysis of cDNA for bovine adrenal preproenkephalin. Nature. 295(5846). 202–206. 761 indexed citations breakdown →
20.
Furutani, Yasuji, et al.. (1952). Development of resistance to 4-acetylaminobenzaldehyde thiosemicarbazone by Mycobacterium tuberculosis.. PubMed. 39(5). 761–6. 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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