Satoshi Narumi

2.8k total citations
142 papers, 1.6k citations indexed

About

Satoshi Narumi is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Satoshi Narumi has authored 142 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 52 papers in Genetics and 46 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Satoshi Narumi's work include Thyroid Disorders and Treatments (32 papers), Congenital heart defects research (16 papers) and Sexual Differentiation and Disorders (15 papers). Satoshi Narumi is often cited by papers focused on Thyroid Disorders and Treatments (32 papers), Congenital heart defects research (16 papers) and Sexual Differentiation and Disorders (15 papers). Satoshi Narumi collaborates with scholars based in Japan, United States and Australia. Satoshi Narumi's co-authors include Tomonobu Hasegawa, Koji Muroya, Yumi Asakura, Masanori Adachi, Tomohiro Ishii, Tsutomu Ogata, Masaki Takagi, Maki Fukami, Naoko Amano and Keisuke Nagasaki and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Satoshi Narumi

132 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Narumi Japan 23 870 570 548 293 118 142 1.6k
Emily L. Germain‐Lee United States 24 1.1k 1.3× 145 0.3× 905 1.7× 236 0.8× 88 0.7× 56 1.8k
Syed A. Morshed United States 26 520 0.6× 752 1.3× 202 0.4× 263 0.9× 50 0.4× 65 2.3k
Markku Heikinheimo Finland 21 1.3k 1.4× 95 0.2× 512 0.9× 316 1.1× 129 1.1× 81 2.1k
Matthew J. Simmonds United Kingdom 25 393 0.5× 755 1.3× 1.0k 1.9× 260 0.9× 81 0.7× 50 2.5k
Tom H. Lindner Germany 21 1.1k 1.2× 248 0.4× 694 1.3× 634 2.2× 409 3.5× 49 2.2k
Dianne Abuelo United States 23 757 0.9× 210 0.4× 768 1.4× 699 2.4× 298 2.5× 52 1.9k
Sylvie Salenave France 34 665 0.8× 2.3k 4.0× 542 1.0× 1.3k 4.3× 106 0.9× 83 3.6k
Lorraine Southam United Kingdom 25 679 0.8× 172 0.3× 572 1.0× 280 1.0× 51 0.4× 59 1.9k
Jussi Merenmies Finland 21 925 1.1× 114 0.2× 263 0.5× 284 1.0× 55 0.5× 44 1.9k
Fulgencio Gómez Switzerland 18 260 0.3× 576 1.0× 223 0.4× 228 0.8× 60 0.5× 46 1.2k

Countries citing papers authored by Satoshi Narumi

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Narumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Narumi

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Narumi. A scholar is included among the top collaborators of Satoshi Narumi 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 Satoshi Narumi. Satoshi Narumi 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.
Osuga, Yutaka, et al.. (2025). Body mass index and menstrual irregularity in a prospective cohort study of smartphone application users. SHILAP Revista de lepidopterología. 3(1).
2.
Saito, Atsushi, Takeshi Sato, Haruko Shima, et al.. (2025). Sex education to an adolescent male with Down syndrome in a single‐mother family in Japan. Pediatrics International. 67(1). e15896–e15896. 1 indexed citations
3.
Nagasaki, Keisuke, Tomohiro Saito, Shun Soneda, et al.. (2024). Comprehensive Study on Central Precocious Puberty: Molecular and Clinical Analyses in 90 Patients. The Journal of Clinical Endocrinology & Metabolism. 110(4). 1023–1036. 1 indexed citations
4.
5.
Abe, Kiyomi, Koji Muroya, Atsushi Hattori, et al.. (2024). Molecular and Clinical Features of Congenital Hypothyroidism Due to Multiple DUOX2 Variants. Thyroid. 34(7). 827–836. 2 indexed citations
6.
Takubo, Noriyuki, Rie Ozaki, Hidenori Haruna, et al.. (2023). A case of 46,XY complete gonadal dysgenesis with a novel missense variant in <i>SRY</i>. Clinical Pediatric Endocrinology. 32(4). 235–238. 1 indexed citations
7.
Piedvache, Aurélie, Akihiro Umezawa, Osamu Hiraike, et al.. (2023). Prolongation of the Menstrual Cycle After Receipt of the Primary Series and Booster Doses of mRNA Coronavirus Disease 2019 (COVID-19) Vaccination. Obstetrics and Gynecology. 143(2). 284–293. 2 indexed citations
8.
Sugisawa, Chiho, Satoshi Narumi, Nami Suzuki, et al.. (2023). Adult Thyroid Outcomes of Congenital Hypothyroidism. Thyroid. 33(5). 556–565. 1 indexed citations
9.
Kagami, Masayo, Keiko Matsubara, Kazuhiko Nakabayashi, et al.. (2021). ZNF445: a homozygous truncating variant in a patient with Temple syndrome and multilocus imprinting disturbance. Clinical Epigenetics. 13(1). 119–119. 17 indexed citations
10.
Chen, Chen, Koji Ueda, Peiying Li, et al.. (2021). Phase separation and toxicity of C9orf72 poly(PR) depends on alternate distribution of arginine. The Journal of Cell Biology. 220(11). 31 indexed citations
11.
Nagasaki, Keisuke, Maki Fukami, Junko Nishioka, et al.. (2020). Congenital Hypothyroidism Due to Truncating PAX8 Mutations: A Case Series and Molecular Function Studies. The Journal of Clinical Endocrinology & Metabolism. 105(11). e4055–e4065. 7 indexed citations
12.
Inoue, Takanobu, Akie Nakamura, Keiko Matsubara, et al.. (2020). Contribution of gene mutations to Silver-Russell syndrome phenotype: multigene sequencing analysis in 92 etiology-unknown patients. Clinical Epigenetics. 12(1). 86–86. 33 indexed citations
13.
Ishikawa, Takuya, Takashi Miwa, Hiroyuki Sakai, et al.. (2020). A Novel Homozygous Mutation of Thyroid Peroxidase Gene Abolishes a Disulfide Bond Leading to Congenital Hypothyroidism. International Journal of Endocrinology. 2020. 1–8. 2 indexed citations
14.
Suda, Kentaro, Hidenori Fukuoka, Genzo Iguchi, et al.. (2020). A Case of Luscan-Lumish Syndrome: Possible Involvement of Enhanced GH Signaling. The Journal of Clinical Endocrinology & Metabolism. 106(3). 718–723. 5 indexed citations
15.
Ilenčíková, Denisa, et al.. (2018). Somatic mosaic monosomy 7 and UPD7q in a child with MIRAGE syndrome caused by a novel SAMD9 mutation. Pediatric Blood & Cancer. 66(4). e27589–e27589. 15 indexed citations
16.
Takagi, Masaki, et al.. (2017). Novel compound heterozygous mutations identified by whole exome sequencing in a Japanese patient with geroderma osteodysplastica. European Journal of Medical Genetics. 60(12). 635–638. 6 indexed citations
17.
Amano, Naoko, et al.. (2015). A Case of ACTH Resistance with Generalized Hyperpigmentation at Birth. 84.
18.
Nagasaki, Keisuke, et al.. (2011). A family of pseudohypoparathyroidism type Ia with an 850‐kb submicroscopic deletion encompassing the whole GNAS locus. American Journal of Medical Genetics Part A. 158A(1). 261–264. 19 indexed citations
19.
20.
Narumi, Satoshi, et al.. (1976). [3 cases of Moyamoya diseases found in a consanguineous family].. PubMed. 28(11). 1201–5. 3 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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