Fumihiro Fujimori

1.4k total citations
33 papers, 1.1k citations indexed

About

Fumihiro Fujimori is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Fumihiro Fujimori has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Pharmacology. Recurrent topics in Fumihiro Fujimori's work include Signaling Pathways in Disease (9 papers), Peptidase Inhibition and Analysis (7 papers) and Fungal Biology and Applications (7 papers). Fumihiro Fujimori is often cited by papers focused on Signaling Pathways in Disease (9 papers), Peptidase Inhibition and Analysis (7 papers) and Fungal Biology and Applications (7 papers). Fumihiro Fujimori collaborates with scholars based in Japan, United States and France. Fumihiro Fujimori's co-authors include Takafumi Uchida, Chiyoko Uchida, Katsuhiko Takahashi, Tony Hunter, Tôru Okuda, Yih-Cherng Liou, Pei‐Jung Lu, Roderick T. Bronson, Akihide Ryo and Kun Ping Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Fumihiro Fujimori

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumihiro Fujimori Japan 16 942 445 351 170 140 33 1.1k
Rainer Niedenthal Germany 20 1.2k 1.2× 155 0.3× 169 0.5× 179 1.1× 237 1.7× 38 1.4k
Shirley Qiu United States 15 602 0.6× 132 0.3× 107 0.3× 171 1.0× 241 1.7× 22 894
Caroline R.M. Wilkinson United Kingdom 21 1.6k 1.7× 279 0.6× 54 0.2× 205 1.2× 498 3.6× 32 1.8k
Hongfang Qiu United States 30 2.7k 2.9× 186 0.4× 154 0.4× 245 1.4× 412 2.9× 41 3.0k
Ikuko Miyajima Japan 10 781 0.8× 180 0.4× 285 0.8× 102 0.6× 193 1.4× 12 1.1k
Dan Sommer United States 5 571 0.6× 85 0.2× 86 0.2× 55 0.3× 47 0.3× 7 808
Britta A. M. Bouwman Sweden 17 1.5k 1.6× 130 0.3× 55 0.2× 304 1.8× 72 0.5× 22 1.7k
Miriam Sansó Spain 19 1.3k 1.4× 223 0.5× 51 0.1× 122 0.7× 131 0.9× 30 1.5k
Raul Salinas United States 13 528 0.6× 120 0.3× 64 0.2× 261 1.5× 46 0.3× 24 869
Sonia Castillo‐Lluva Spain 16 656 0.7× 143 0.3× 70 0.2× 169 1.0× 233 1.7× 29 855

Countries citing papers authored by Fumihiro Fujimori

Since Specialization
Citations

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

Fields of papers citing papers by Fumihiro Fujimori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumihiro Fujimori

This figure shows the co-authorship network connecting the top 25 collaborators of Fumihiro Fujimori. A scholar is included among the top collaborators of Fumihiro Fujimori 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 Fumihiro Fujimori. Fumihiro Fujimori 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.
Yamaji‐Hasegawa, Akiko, Motohide Murate, Takehiko Inaba, et al.. (2022). A novel sterol-binding protein reveals heterogeneous cholesterol distribution in neurite outgrowth and in late endosomes/lysosomes. Cellular and Molecular Life Sciences. 79(6). 324–324. 6 indexed citations
2.
Uesaka, Kazuma, et al.. (2021). De novo Sequencing of Novel Mycoviruses From Fusarium sambucinum: An Attempt on Direct RNA Sequencing of Viral dsRNAs. Frontiers in Microbiology. 12. 641484–641484. 9 indexed citations
3.
Sumi, Mariko, Asami Makino, Takehiko Inaba, et al.. (2017). Photoswitchable phospholipid FRET acceptor: Detergent free intermembrane transfer assay of fluorescent lipid analogs. Scientific Reports. 7(1). 2900–2900. 2 indexed citations
4.
Kondō, Hideki, Sakae Hisano, Sotaro Chiba, et al.. (2016). Reprint of “Sequence and phylogenetic analyses of novel totivirus-like double-stranded RNAs from field-collected powdery mildew fungi”. Virus Research. 219. 39–50. 1 indexed citations
5.
Kondō, Hideki, Sakae Hisano, Sotaro Chiba, et al.. (2015). Sequence and phylogenetic analyses of novel totivirus-like double-stranded RNAs from field-collected powdery mildew fungi. Virus Research. 213. 353–364. 35 indexed citations
6.
Kurahashi, Atsushi, et al.. (2014). Identification of differentially expressed genes in fruiting body mutants of Grifola frondosa. 54. 23–33. 2 indexed citations
7.
8.
Sato, Masayuki, Atsushi Kurahashi, Aya Takeda, et al.. (2013). High quality draft genome sequence analysis of the edible mushroom Grifola frondosa. 53. 17–30. 5 indexed citations
9.
Kurahashi, Atsushi, et al.. (2013). Heat shock protein 9 mRNA expression increases during fruiting body differentiation in Grifola frondosa and other edible mushrooms. Mycoscience. 55(2). 98–102. 8 indexed citations
10.
Kurahashi, Atsushi, et al.. (2012). Analysis of Gene Expression Profiles during cultivation of Grifola frondosa. 52. 17–32. 6 indexed citations
11.
Uchida, Takafumi, Tomokazu Fukuda, Hirotada Akiyama, et al.. (2012). Prolyl Isomerase Pin1 Regulates Mouse Embryonic Fibroblast Differentiation into Adipose Cells. PLoS ONE. 7(3). e31823–e31823. 23 indexed citations
12.
Katagi, Hiroaki, et al.. (2004). Global analysis of the expression patterns of transcriptional regulatory factors in formation of embryoid bodies using sensitive oligonucleotide microarray systems. Biochemical and Biophysical Research Communications. 325(1). 265–275. 15 indexed citations
13.
Uchida, Takafumi, Mari Takamiya, Hitoshi Miyashita, et al.. (2003). Pin1 and Par14 Peptidyl Prolyl Isomerase Inhibitors Block Cell Proliferation. Chemistry & Biology. 10(1). 15–24. 149 indexed citations
14.
Miyashita, Hitoshi, Yuji Takebayashi, James F. Eliason, et al.. (2002). Uridine phosphorylase is a potential prognostic factor in patients with oral squamous cell carcinoma. Cancer. 94(11). 2959–2966. 22 indexed citations
15.
Fujiyama, Sally, Mitsuaki Yanagida, Toshiya Hayano, et al.. (2002). Isolation and proteomic characterization of human parvulin-associating preribosomal ribonucleoprotein complexes.. Journal of Biological Chemistry. 277(44). 42418–42418. 1 indexed citations
16.
Terada, Tohru, Mikako Shirouzu, Fumihiro Fujimori, et al.. (2001). Solution structure of the human parvulin-like peptidyl prolyl cis/trans isomerase, hPar14. Journal of Molecular Biology. 305(4). 917–926. 27 indexed citations
17.
Fujimori, Fumihiro, Junko Kikuchi, Yoko Ohashi, et al.. (2001). Crosstalk of Prolyl Isomerases, Pin1/Ess1, and Cyclophilin A. Biochemical and Biophysical Research Communications. 289(1). 181–190. 29 indexed citations
18.
Fujimori, Fumihiro, Katsuhiko Takahashi, Chiyoko Uchida, & Takafumi Uchida. (1999). Mice Lacking Pin1 Develop Normally, but Are Defective in Entering Cell Cycle from G0 Arrest. Biochemical and Biophysical Research Communications. 265(3). 658–663. 187 indexed citations
19.
Uchida, Takafumi, Fumihiro Fujimori, Thomas Tradler, Gunter Fischer, & Jens‐U. Rahfeld. (1999). Identification and characterization of a 14 kDa human protein as a novel parvulin‐like peptidyl prolyl cis/trans isomerase. FEBS Letters. 446(2-3). 278–282. 79 indexed citations
20.

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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