Kumiko Nishihara

581 total citations
8 papers, 452 citations indexed

About

Kumiko Nishihara is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Kumiko Nishihara has authored 8 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Kumiko Nishihara's work include Drug Transport and Resistance Mechanisms (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Renal and related cancers (2 papers). Kumiko Nishihara is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Renal and related cancers (2 papers). Kumiko Nishihara collaborates with scholars based in Japan and United States. Kumiko Nishihara's co-authors include Satohiro Masuda, Ken‐ichi Inui, Shunsaku Nakagawa, Toshiya Katsura, Atsushi Yonezawa, Ikuko Yano, Kazuo Matsubara, Haruka Shinke, Noriyuki Iehara and Moto Kajiwara and has published in prestigious journals such as PLoS ONE, Biochemical Pharmacology and European Journal of Pharmacology.

In The Last Decade

Kumiko Nishihara

8 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumiko Nishihara Japan 8 136 135 128 115 90 8 452
Poonam Sansanwal United States 9 72 0.5× 60 0.4× 127 1.0× 27 0.2× 105 1.2× 11 415
Moto Kajiwara Japan 9 171 1.3× 86 0.6× 22 0.2× 132 1.1× 76 0.8× 11 397
Miriam Huls Netherlands 6 147 1.1× 83 0.6× 43 0.3× 280 2.4× 144 1.6× 7 485
Kevin Rockich United States 11 126 0.9× 34 0.3× 42 0.3× 111 1.0× 36 0.4× 22 422
Hee Jong Ahn South Korea 11 129 0.9× 121 0.9× 82 0.6× 29 0.3× 23 0.3× 13 466
Cierra N. Sharp United States 10 160 1.2× 115 0.9× 227 1.8× 33 0.3× 54 0.6× 17 423
Francesco Trevisani Italy 12 255 1.9× 170 1.3× 52 0.4× 99 0.9× 81 0.9× 64 760
D J Gmur United States 12 115 0.8× 82 0.6× 53 0.4× 30 0.3× 46 0.5× 14 356
Tali Zitman‐Gal Israel 11 131 1.0× 60 0.4× 31 0.2× 35 0.3× 38 0.4× 40 401
Alessandra Dalla Gassa Italy 12 173 1.3× 109 0.8× 100 0.8× 22 0.2× 30 0.3× 14 420

Countries citing papers authored by Kumiko Nishihara

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Nishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumiko Nishihara

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

All Works

8 of 8 papers shown
1.
Nakagawa, Shunsaku, Kumiko Nishihara, Haruka Shinke, et al.. (2015). Molecular Markers of Tubulointerstitial Fibrosis and Tubular Cell Damage in Patients with Chronic Kidney Disease. PLoS ONE. 10(8). e0136994–e0136994. 147 indexed citations
2.
Nishihara, Kumiko, Satohiro Masuda, Haruka Shinke, et al.. (2013). Urinary chemokine (C-C motif) ligand 2 (monocyte chemotactic protein-1) as a tubular injury marker for early detection of cisplatin-induced nephrotoxicity. Biochemical Pharmacology. 85(4). 570–582. 31 indexed citations
3.
Nakagawa, Shunsaku, Kumiko Nishihara, Ken‐ichi Inui, & Satohiro Masuda. (2012). Involvement of autophagy in the pharmacological effects of the mTOR inhibitor everolimus in acute kidney injury. European Journal of Pharmacology. 696(1-3). 143–154. 61 indexed citations
4.
Nishihara, Kumiko, Satohiro Masuda, Shunsaku Nakagawa, et al.. (2010). Impact of Cyclin B2 and Cell division cycle 2 on tubular hyperplasia in progressive chronic renal failure rats. American Journal of Physiology-Renal Physiology. 298(4). F923–F934. 12 indexed citations
5.
Nakagawa, Shunsaku, Satohiro Masuda, Kumiko Nishihara, & Ken‐ichi Inui. (2009). mTOR inhibitor everolimus ameliorates progressive tubular dysfunction in chronic renal failure rats. Biochemical Pharmacology. 79(1). 67–76. 19 indexed citations
6.
Nishihara, Kumiko, Satohiro Masuda, Lin Ji, Toshiya Katsura, & Ken‐ichi Inui. (2007). Pharmacokinetic significance of luminal multidrug and toxin extrusion 1 in chronic renal failure rats. Biochemical Pharmacology. 73(9). 1482–1490. 34 indexed citations
7.
Yonezawa, Atsushi, Satohiro Masuda, Kumiko Nishihara, et al.. (2005). Association between tubular toxicity of cisplatin and expression of organic cation transporter rOCT2 (Slc22a2) in the rat. Biochemical Pharmacology. 70(12). 1823–1831. 139 indexed citations
8.
Masuda, Satohiro, et al.. (2004). Increased protein level of PEPT1 intestinal H+-peptide cotransporter upregulates absorption of glycylsarcosine and ceftibuten in 5/6 nephrectomized rats. American Journal of Physiology-Gastrointestinal and Liver Physiology. 288(4). G664–G670. 9 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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