Kyoko Nitta

727 total citations · 1 hit paper
14 papers, 588 citations indexed

About

Kyoko Nitta is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Kyoko Nitta has authored 14 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 6 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Kyoko Nitta's work include Diabetes Treatment and Management (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Pancreatic function and diabetes (3 papers). Kyoko Nitta is often cited by papers focused on Diabetes Treatment and Management (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Pancreatic function and diabetes (3 papers). Kyoko Nitta collaborates with scholars based in Japan and United States. Kyoko Nitta's co-authors include Daisuke Koya, Keizo Kanasaki, Munehiro Kitada, Susumu Takagi, Swayam Prakash Srivastava, Jinpeng Li, Yuta Takagaki, Takako Nagai, Sen Shi and Haijie Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Kyoko Nitta

14 papers receiving 579 citations

Hit Papers

align trajectories

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.

Renal protective effects of empagliflozin via inhibition of EMT and aberrant glycolysis in proximal tubules

2020 186 citations Jinpeng Li, Haijie Liu et al. JCI Insight profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyoko Nitta Japan	9	245	214	152	140	79	14	588
Yoshiki Higashijima Japan	14	362 1.5×	198 0.9×	164 1.1×	113 0.8×	71 0.9×	24	729
Susumu Takagi Japan	6	164 0.7×	190 0.9×	126 0.8×	119 0.8×	56 0.7×	11	464
Yuta Takagaki Japan	10	293 1.2×	211 1.0×	157 1.0×	154 1.1×	124 1.6×	15	711
Chenzhong Li China	9	174 0.7×	287 1.3×	160 1.1×	133 0.9×	77 1.0×	20	605
Sufyan G. Sayyed India	10	316 1.3×	109 0.5×	193 1.3×	102 0.7×	98 1.2×	12	706
Matthias A. Neusser Switzerland	10	242 1.0×	74 0.3×	311 2.0×	120 0.9×	116 1.5×	10	833
Yoichiro Ikeda Japan	11	266 1.1×	82 0.4×	145 1.0×	113 0.8×	29 0.4×	22	599
Bozena Krolewski United States	12	200 0.8×	85 0.4×	145 1.0×	58 0.4×	52 0.7×	26	468
Amanda Mather Australia	8	274 1.1×	506 2.4×	234 1.5×	270 1.9×	63 0.8×	22	804
Kikuko Amo Japan	7	276 1.1×	221 1.0×	268 1.8×	153 1.1×	77 1.0×	9	765

Countries citing papers authored by Kyoko Nitta

Since Specialization

Citations

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

Fields of papers citing papers by Kyoko Nitta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoko Nitta

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

All Works

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14 of 14 papers shown

Li, Jinpeng, Haijie Liu, Susumu Takagi, et al.. (2020). Renal protective effects of empagliflozin via inhibition of EMT and aberrant glycolysis in proximal tubules. JCI Insight. 5(6). 186 indexed citations breakdown →

Kanasaki, Keizo, Kyoko Nitta, Yuka Nakamura, et al.. (2020). CD‐1^db/db mice: A novel type 2 diabetic mouse model with progressive kidney fibrosis. Journal of Diabetes Investigation. 11(6). 1470–1481. 8 indexed citations

Nitta, Kyoko, Takako Nagai, Munehiro Kitada, et al.. (2019). N-Acetyl-seryl-aspartyl-lysyl-proline is a potential biomarker of renal function in normoalbuminuric diabetic patients with eGFR ≥ 30 ml/min/1.73 m2. Clinical and Experimental Nephrology. 23(8). 1004–1012. 5 indexed citations

Kitada, Munehiro, Yoshio Ogura, Kyoko Nitta, et al.. (2018). Effect of switching to teneligliptin from other dipeptidyl peptidase‐4 inhibitors on glucose control and renoprotection in type 2 diabetes patients with diabetic kidney disease. Journal of Diabetes Investigation. 10(3). 706–713. 9 indexed citations

Kanasaki, Keizo, Shinichi TSUDA, Ai Watanabe, et al.. (2018). Severe electrolytes disorders with the interstitial kidney alterations in the patient with the history of total thyroidectomy and parathyroidectomy: possible role of vitamin D deficiency. Clinical Case Reports. 6(6). 983–989. 1 indexed citations

Takagi, Susumu, Jinpeng Li, Yuta Takagaki, et al.. (2018). Ipragliflozin improves mitochondrial abnormalities in renal tubules induced by a high‐fat diet. Journal of Diabetes Investigation. 9(5). 1025–1032. 98 indexed citations

Q, Hu, Jinpeng Li, Kyoko Nitta, et al.. (2017). FGFR1 is essential for N-acetyl-seryl-aspartyl-lysyl-proline regulation of mitochondrial dynamics by upregulating microRNA let-7b-5p. Biochemical and Biophysical Research Communications. 495(3). 2214–2220. 13 indexed citations

Li, Jinpeng, Sen Shi, Swayam Prakash Srivastava, et al.. (2017). FGFR1 is critical for the anti-endothelial mesenchymal transition effect of N-acetyl-seryl-aspartyl-lysyl-proline via induction of the MAP4K4 pathway. Cell Death and Disease. 8(8). e2965–e2965. 53 indexed citations

Nitta, Kyoko, Sen Shi, Takako Nagai, et al.. (2016). Oral Administration of N-Acetyl-seryl-aspartyl-lysyl-proline Ameliorates Kidney Disease in Both Type 1 and Type 2 Diabetic Mice via a Therapeutic Regimen. BioMed Research International. 2016. 1–11. 36 indexed citations

10.

Shi, Sen, Swayam Prakash Srivastava, Megumi Kanasaki, et al.. (2015). Interactions of DPP-4 and integrin β1 influences endothelial-to-mesenchymal transition. Kidney International. 88(3). 479–489. 130 indexed citations

11.

Kanasaki, Keizo, Takako Nagai, Kyoko Nitta, Munehiro Kitada, & Daisuke Koya. (2014). N-acetyl-seryl-aspartyl-lysyl-proline: a valuable endogenous anti-fibrotic peptide for combating kidney fibrosis in diabetes. Frontiers in Pharmacology. 5. 70–70. 27 indexed citations

12.

Nagai, Takako, Kyoko Nitta, Megumi Kanasaki, Daisuke Koya, & Keizo Kanasaki. (2014). The biological significance of angiotensin-converting enzyme inhibition to combat kidney fibrosis. Clinical and Experimental Nephrology. 19(1). 65–74. 12 indexed citations

13.

Kawashima, Akira, Kyoko Nitta, Wako Yumura, et al.. (1997). Effect of varying amino acid levels on protein metabolism in nephrotic rats during total parenteral nutrition.. Journal of the American Society of Nephrology. 8(9). 1399–1404. 2 indexed citations

14.

Ohhira, Shuji, H. Matsui, & Kyoko Nitta. (1996). Subchronic study of the metabolism of triphenyltin in hamsters.. PubMed. 38(3). 206–9. 8 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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