Yukana Chihara

450 total citations
9 papers, 381 citations indexed

About

Yukana Chihara is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Yukana Chihara has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Yukana Chihara's work include Parathyroid Disorders and Treatments (4 papers), Genetic Syndromes and Imprinting (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Yukana Chihara is often cited by papers focused on Parathyroid Disorders and Treatments (4 papers), Genetic Syndromes and Imprinting (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Yukana Chihara collaborates with scholars based in Japan and China. Yukana Chihara's co-authors include Hiromi Rakugi, Toshio Ogihara, Kazuhiko Ishikawa, Iwao Kida, Masashi Ikushima, Junsuke Ohta, Yoshihiro Maekawa, Kōichi Yamamoto, Naomichi Matsukawa and H Matsuoka and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Yukana Chihara

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukana Chihara Japan 6 268 162 110 49 44 9 381
E Gillespie United States 5 378 1.4× 291 1.8× 144 1.3× 58 1.2× 66 1.5× 6 562
Yuechi Xu United States 7 293 1.1× 167 1.0× 176 1.6× 51 1.0× 67 1.5× 10 554
Shunji Shiohira Japan 8 219 0.8× 88 0.5× 125 1.1× 59 1.2× 37 0.8× 19 361
Rashad Tuffaha Germany 7 184 0.7× 88 0.5× 135 1.2× 24 0.5× 31 0.7× 7 415
María Elena Rodríguez‐García Spain 10 126 0.5× 59 0.4× 133 1.2× 48 1.0× 31 0.7× 22 333
Navid Shobeiri Canada 6 220 0.8× 70 0.4× 69 0.6× 45 0.9× 31 0.7× 9 384
Olga Sineshchekova United States 5 174 0.6× 129 0.8× 62 0.6× 28 0.6× 14 0.3× 7 273
Alison Homstad United States 6 287 1.1× 64 0.4× 187 1.7× 32 0.7× 24 0.5× 8 406
Roua A. Al‐Rijjal Saudi Arabia 13 125 0.5× 124 0.8× 178 1.6× 132 2.7× 38 0.9× 21 538
Yukino Nishibori Japan 11 256 1.0× 103 0.6× 184 1.7× 53 1.1× 54 1.2× 16 412

Countries citing papers authored by Yukana Chihara

Since Specialization
Citations

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

Fields of papers citing papers by Yukana Chihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukana Chihara

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

All Works

9 of 9 papers shown
1.
Chihara, Yukana, et al.. (2024). Serum creatinine is more strongly associated with hyperuricemia than eGFR in males but not in females. Modern Rheumatology. 35(2). 378–385. 1 indexed citations
2.
Shimoda, Masashi, Yukana Chihara, Naofumi Kagara, et al.. (2016). Abstract P3-06-05: Importance of TGFβ-SMAD3 axis in resistance to anti-HER2 drugs. Cancer Research. 76(4_Supplement). P3–6. 1 indexed citations
3.
Yasuda, Osamu, Masayoshi Higuchi, Yukana Chihara, et al.. (2007). Aspirin prevents adhesion of T lymphoblasts to vascular smooth muscle cells. FEBS Letters. 581(3). 427–432. 13 indexed citations
4.
Ohta, Junsuke, Hiromi Rakugi, Kazuhiko Ishikawa, et al.. (2007). Klotho gene delivery suppresses oxidative stress in vivo. Geriatrics and gerontology international. 7(3). 293–299. 19 indexed citations
5.
Chihara, Yukana, Hiromi Rakugi, Kazuhiko Ishikawa, et al.. (2006). Klotho Protein Promotes Adipocyte Differentiation. Endocrinology. 147(8). 3835–3842. 73 indexed citations
6.
Chihara, Yukana, Hiroyuki Ono, Toshihiko Ishimitsu, et al.. (2006). Roles of TGF-b1 and apoptosis in the progression of glomerulosclerosis in human IgA nephropathy. Clinical Nephrology. 65(6). 385–392. 33 indexed citations
7.
Ishikawa, Kazuhiko, Tomohiro Katsuya, Yuxiao Fu, et al.. (2006). Association between senescence‐related uncoupling protein 2 gene polymorphisms and abdominal obesity in Japanese subjects: The Tanno and Sobetsu study. Geriatrics and gerontology international. 6(1). 15–19. 4 indexed citations
8.
Ikushima, Masashi, Hiromi Rakugi, Kazuhiko Ishikawa, et al.. (2005). Anti-apoptotic and anti-senescence effects of Klotho on vascular endothelial cells. Biochemical and Biophysical Research Communications. 339(3). 827–832. 193 indexed citations
9.
Imai, Michio, Kazuhiko Ishikawa, Naomichi Matsukawa, et al.. (2004). Klotho Protein Activates the PKC Pathway in the Kidney and Testis and Suppresses 25-Hydroxyvitamin D<SUB>3</SUB> 1α-Hydroxylase Gene Expression. Endocrine. 25(3). 229–234. 44 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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