Natsuko Tokonami

1.3k total citations
16 papers, 929 citations indexed

About

Natsuko Tokonami is a scholar working on Molecular Biology, Nephrology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Natsuko Tokonami has authored 16 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Nephrology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Natsuko Tokonami's work include Ion Transport and Channel Regulation (7 papers), Circadian rhythm and melatonin (3 papers) and Birth, Development, and Health (3 papers). Natsuko Tokonami is often cited by papers focused on Ion Transport and Channel Regulation (7 papers), Circadian rhythm and melatonin (3 papers) and Birth, Development, and Health (3 papers). Natsuko Tokonami collaborates with scholars based in Switzerland, France and Italy. Natsuko Tokonami's co-authors include Olivier Bonny, Dmitri Firsov, Olivier Devuyst, Gabriel Centeno, Sylvain Pradervand, Marc Maillard, Svetlana Nikolaeva, David Mordasini, Huguette Debaix and Eric Olinger and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Physiology.

In The Last Decade

Natsuko Tokonami

16 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natsuko Tokonami Switzerland 13 371 222 201 182 155 16 929
Lieqi Tang United States 13 425 1.1× 180 0.8× 89 0.4× 74 0.4× 106 0.7× 20 813
David Mordasini Switzerland 23 975 2.6× 152 0.7× 190 0.9× 148 0.8× 145 0.9× 29 1.4k
Svetlana Nikolaeva Russia 10 206 0.6× 327 1.5× 218 1.1× 88 0.5× 93 0.6× 27 659
Lisa R. Stow United States 10 284 0.8× 371 1.7× 276 1.4× 116 0.6× 47 0.3× 11 826
Vladislav Bugaj United States 20 874 2.4× 111 0.5× 158 0.8× 43 0.2× 81 0.5× 24 1.2k
Elena Mironova United States 17 431 1.2× 55 0.2× 116 0.6× 48 0.3× 49 0.3× 51 777
Tengis S. Pavlov United States 23 791 2.1× 45 0.2× 156 0.8× 52 0.3× 160 1.0× 53 1.4k
Mykola Mamenko United States 23 755 2.0× 45 0.2× 131 0.7× 44 0.2× 107 0.7× 44 1.2k
Jiangning Yang Sweden 21 332 0.9× 122 0.5× 541 2.7× 76 0.4× 20 0.1× 38 1.3k
Kevin W. Aylor United States 26 537 1.4× 120 0.5× 379 1.9× 55 0.3× 21 0.1× 44 1.6k

Countries citing papers authored by Natsuko Tokonami

Since Specialization
Citations

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

Fields of papers citing papers by Natsuko Tokonami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natsuko Tokonami

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

All Works

16 of 16 papers shown
1.
Yamagata, Tetsushi, Ikuo Ogiwara, Tetsuya Tatsukawa, et al.. (2023). Scn1a-GFP transgenic mouse revealed Nav1.1 expression in neocortical pyramidal tract projection neurons. eLife. 12. 5 indexed citations
2.
Luciani, Alessandro, Anke Schumann, Marine Berquez, et al.. (2020). Impaired mitophagy links mitochondrial disease to epithelial stress in methylmalonyl-CoA mutase deficiency. Nature Communications. 11(1). 970–970. 81 indexed citations
3.
Luciani, Alessandro, Anke Schumann, Marine Berquez, et al.. (2020). Author Correction: Impaired mitophagy links mitochondrial disease to epithelial stress in methylmalonyl-CoA mutase deficiency. Nature Communications. 11(1). 1719–1719. 1 indexed citations
4.
Olinger, Eric, Susan Sheehan, Tomoaki Takata, et al.. (2019). Hepsin-mediated Processing of Uromodulin is Crucial for Salt-sensitivity and Thick Ascending Limb Homeostasis. Scientific Reports. 9(1). 12287–12287. 42 indexed citations
5.
Festa, Beatrice Paola, Zhiyong Chen, Marine Berquez, et al.. (2018). Impaired autophagy bridges lysosomal storage disease and epithelial dysfunction in the kidney. Nature Communications. 9(1). 161–161. 103 indexed citations
6.
Tokonami, Natsuko, Tomoaki Takata, Ayumi Yoshifuji, et al.. (2018). Uromodulin is expressed in the distal convoluted tubule, where it is critical for regulation of the sodium chloride cotransporter NCC. Kidney International. 94(4). 701–715. 92 indexed citations
7.
Tokonami, Natsuko, Eric Olinger, Huguette Debaix, Pascal Houillier, & Olivier Devuyst. (2018). The excretion of uromodulin is modulated by the calcium-sensing receptor. Kidney International. 94(5). 882–886. 18 indexed citations
8.
Schuh, Claus D., Marcello Polesel, Evgenia Platonova, et al.. (2018). Combined Structural and Functional Imaging of the Kidney Reveals Major Axial Differences in Proximal Tubule Endocytosis. Journal of the American Society of Nephrology. 29(11). 2696–2712. 78 indexed citations
9.
Tokonami, Natsuko, Lydie Cheval, Guillaume Meurice, et al.. (2017). Endothelin‐1 mediates natriuresis but not polyuria during vitamin D‐induced acute hypercalcaemia. The Journal of Physiology. 595(8). 2535–2550. 5 indexed citations
10.
Corre, Tanguy, Eric Olinger, Sarah E. Harris, et al.. (2016). Common variants in CLDN14 are associated with differential excretion of magnesium over calcium in urine. Pflügers Archiv - European Journal of Physiology. 469(1). 91–103. 20 indexed citations
11.
Nikolaeva, Svetlana, Camille Ansermet, Gabriel Centeno, et al.. (2016). Nephron-Specific Deletion of Circadian Clock Gene Bmal1 Alters the Plasma and Renal Metabolome and Impairs Drug Disposition. Journal of the American Society of Nephrology. 27(10). 2997–3004. 85 indexed citations
12.
Tokonami, Natsuko, David Mordasini, Sylvain Pradervand, et al.. (2014). Local Renal Circadian Clocks Control Fluid–Electrolyte Homeostasis and BP. Journal of the American Society of Nephrology. 25(7). 1430–1439. 100 indexed citations
13.
Tokonami, Natsuko, Luciana Morla, Gabriel Centeno, et al.. (2013). α-Ketoglutarate regulates acid-base balance through an intrarenal paracrine mechanism. Journal of Clinical Investigation. 123(7). 3166–3171. 61 indexed citations
14.
Nikolaeva, Svetlana, Sylvain Pradervand, Gabriel Centeno, et al.. (2012). The Circadian Clock Modulates Renal Sodium Handling. Journal of the American Society of Nephrology. 23(6). 1019–1026. 106 indexed citations
15.
Firsov, Dmitri, Natsuko Tokonami, & Olivier Bonny. (2011). Role of the renal circadian timing system in maintaining water and electrolytes homeostasis. Molecular and Cellular Endocrinology. 349(1). 51–55. 35 indexed citations
16.
Singh, B. P., Ikuo Ogiwara, Makoto Kaneda, et al.. (2006). A Kv4.2 truncation mutation in a patient with temporal lobe epilepsy. Neurobiology of Disease. 24(2). 245–253. 97 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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