Nanami Senoo

812 total citations · 1 hit paper
18 papers, 528 citations indexed

About

Nanami Senoo is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Nanami Senoo has authored 18 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Nanami Senoo's work include Adipose Tissue and Metabolism (12 papers), Mitochondrial Function and Pathology (7 papers) and ATP Synthase and ATPases Research (4 papers). Nanami Senoo is often cited by papers focused on Adipose Tissue and Metabolism (12 papers), Mitochondrial Function and Pathology (7 papers) and ATP Synthase and ATPases Research (4 papers). Nanami Senoo collaborates with scholars based in Japan, United States and Hong Kong. Nanami Senoo's co-authors include Shinji Miura, Steven M. Claypool, Yasutomi Kamei, Michelle Grace Acoba, Yukino Hatazawa, Noriyuki Miyoshi, Akihito Morita, Yoshihiro Ogawa, Kiyoshi Yoshioka and Yusuke Ono and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Nanami Senoo

18 papers receiving 522 citations

Hit Papers

Mitochondrial Structure and Function in Human Heart Failure 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanami Senoo Japan 12 346 250 108 62 49 18 528
Ntsiki M. Held Netherlands 12 321 0.9× 246 1.0× 67 0.6× 133 2.1× 48 1.0× 13 609
Karen L. DeBalsi United States 10 541 1.6× 397 1.6× 117 1.1× 80 1.3× 188 3.8× 13 819
Christine Yang Australia 8 443 1.3× 214 0.9× 112 1.0× 122 2.0× 17 0.3× 16 637
Sara M. Nowinski United States 11 287 0.8× 146 0.6× 33 0.3× 42 0.7× 54 1.1× 19 460
Ursula Loizides‐Mangold Switzerland 13 304 0.9× 249 1.0× 88 0.8× 144 2.3× 17 0.3× 18 662
Blanka Holendová Czechia 15 374 1.1× 176 0.7× 50 0.5× 46 0.7× 55 1.1× 29 676
Xavier Cañas Spain 13 272 0.8× 235 0.9× 74 0.7× 86 1.4× 20 0.4× 22 594
Deepthi Ashok United States 11 458 1.3× 187 0.7× 30 0.3× 49 0.8× 55 1.1× 18 648
Ekaterina A. Shaforostova Russia 9 442 1.3× 189 0.8× 33 0.3× 93 1.5× 53 1.1× 15 658
Agnieszka Kozieł Poland 12 423 1.2× 180 0.7× 44 0.4× 19 0.3× 17 0.3× 14 657

Countries citing papers authored by Nanami Senoo

Since Specialization
Citations

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

Fields of papers citing papers by Nanami Senoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanami Senoo

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

All Works

18 of 18 papers shown
1.
Hinton, Antentor, Steven M. Claypool, Kit Neikirk, et al.. (2024). Mitochondrial Structure and Function in Human Heart Failure. Circulation Research. 135(2). 372–396. 67 indexed citations breakdown →
2.
Senoo, Nanami, Matthew G. Baile, Bodhisattwa Saha, et al.. (2024). Functional diversity among cardiolipin binding sites on the mitochondrial ADP/ATP carrier. The EMBO Journal. 43(14). 2979–3008. 12 indexed citations
3.
Terada, Yuko, Akira Minami, Nanami Senoo, et al.. (2023). Allyl Isothiocyanate Maintains DHA-Containing Glycerophospholipids and Ameliorates the Cognitive Function Decline in OVX Mice. ACS Omega. 8(45). 43118–43129. 2 indexed citations
4.
Sato, Tomoki, Nanami Senoo, Noriyuki Miyoshi, et al.. (2023). LPGAT1/LPLAT7 regulates acyl chain profiles at the sn-1 position of phospholipids in murine skeletal muscles. Journal of Biological Chemistry. 299(7). 104848–104848. 3 indexed citations
5.
Makena, Monish Ram, Nanami Senoo, Donna K. Dang, et al.. (2022). Secretory pathway Ca2+-ATPase SPCA2 regulates mitochondrial respiration and DNA damage response through store-independent calcium entry. Redox Biology. 50. 102240–102240. 10 indexed citations
6.
Senoo, Nanami, Noriyuki Miyoshi, Akihito Morita, et al.. (2021). Fasting increases 18:2-containing phosphatidylcholines to complement the decrease in 22:6-containing phosphatidylcholines in mouse skeletal muscle. PLoS ONE. 16(7). e0255178–e0255178. 4 indexed citations
7.
Yamamoto, Shunsuke, et al.. (2021). Differences in phosphatidylcholine profiles and identification of characteristic phosphatidylcholine molecules in meat animal species and meat cut locations. Bioscience Biotechnology and Biochemistry. 85(5). 1205–1214. 10 indexed citations
8.
Acoba, Michelle Grace, Nanami Senoo, & Steven M. Claypool. (2020). Phospholipid ebb and flow makes mitochondria go. The Journal of Cell Biology. 219(8). 67 indexed citations
9.
Senoo, Nanami, Noriyuki Miyoshi, Eri Kobayashi, et al.. (2020). Glycerophospholipid profile alterations are associated with murine muscle‐wasting phenotype. Muscle & Nerve. 62(3). 413–418. 15 indexed citations
10.
Senoo, Nanami, et al.. (2020). Cardiolipin, conformation, and respiratory complex-dependent oligomerization of the major mitochondrial ADP/ATP carrier in yeast. Science Advances. 6(35). eabb0780–eabb0780. 38 indexed citations
11.
Uchitomi, Ran, Yukino Hatazawa, Nanami Senoo, et al.. (2019). Metabolomic Analysis of Skeletal Muscle in Aged Mice. Scientific Reports. 9(1). 10425–10425. 94 indexed citations
12.
Senoo, Nanami, et al.. (2019). Skeletal Muscle-specific PGC-1α Overexpression Suppresses Atherosclerosis in Apolipoprotein E-Knockout Mice. Scientific Reports. 9(1). 4077–4077. 32 indexed citations
13.
Fujita, Ryo, Kiyoshi Yoshioka, Daiki Seko, et al.. (2018). Zmynd17 controls muscle mitochondrial quality and whole‐body metabolism. The FASEB Journal. 32(9). 5012–5025. 17 indexed citations
14.
Senoo, Nanami, Tomoki Sato, Takumi Nakagawa, et al.. (2017). Effects of the dietary carbohydrate–fat ratio on plasma phosphatidylcholine profiles in human and mouse. The Journal of Nutritional Biochemistry. 50. 83–94. 17 indexed citations
15.
Miura, Shinji, et al.. (2017). Improved skeletal muscle Ca2+ regulation in vivo following contractions in mice overexpressing PGC-1α. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 312(6). R1017–R1028. 27 indexed citations
16.
Senoo, Nanami, Noriyuki Miyoshi, Eri Kobayashi, et al.. (2016). FOXO1‐induced Atrophy Changes in Phospholipid Profiles of Skeletal Muscle. The FASEB Journal. 30(S1). 1 indexed citations
17.
Senoo, Nanami, Noriyuki Miyoshi, Naoko Goto‐Inoue, et al.. (2015). PGC-1α-mediated changes in phospholipid profiles of exercise-trained skeletal muscle. Journal of Lipid Research. 56(12). 2286–2296. 44 indexed citations
18.
Hatazawa, Yukino, Nanami Senoo, Miki Tadaishi, et al.. (2015). Metabolomic Analysis of the Skeletal Muscle of Mice Overexpressing PGC-1α. PLoS ONE. 10(6). e0129084–e0129084. 68 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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