Kenji Ihara

6.5k total citations
230 papers, 4.4k citations indexed

About

Kenji Ihara is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Kenji Ihara has authored 230 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 44 papers in Genetics and 42 papers in Immunology. Recurrent topics in Kenji Ihara's work include Immune Cell Function and Interaction (20 papers), Metabolism and Genetic Disorders (20 papers) and Diabetes and associated disorders (14 papers). Kenji Ihara is often cited by papers focused on Immune Cell Function and Interaction (20 papers), Metabolism and Genetic Disorders (20 papers) and Diabetes and associated disorders (14 papers). Kenji Ihara collaborates with scholars based in Japan, United States and United Kingdom. Kenji Ihara's co-authors include Toshiro Hara, Toshiro Hara, Hidetoshi Takada, Ryuichi Kuromaru, Hitoshi Kohno, Aiko Suminoe, Naoko Kinukawa, Katsushi Tanaka, Kazuhiro Ito and Koichi Kusuhara and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kenji Ihara

209 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Ihara Japan 37 1.2k 1.0k 737 620 602 230 4.4k
David Gillis Australia 37 868 0.7× 882 0.8× 520 0.7× 511 0.8× 857 1.4× 144 4.2k
Maria Antonietta Avanzini Italy 38 1.3k 1.1× 1.1k 1.1× 548 0.7× 343 0.6× 609 1.0× 165 5.6k
Tarra L. McDowell United Kingdom 9 1.1k 1.0× 1.1k 1.0× 643 0.9× 340 0.5× 328 0.5× 9 3.4k
Gregor Bein Germany 39 1.5k 1.3× 556 0.5× 576 0.8× 387 0.6× 409 0.7× 182 4.6k
C. Wayne Smith United States 42 2.0k 1.7× 1.4k 1.4× 364 0.5× 579 0.9× 297 0.5× 100 5.4k
M. Abbal France 31 1.2k 1.0× 572 0.5× 425 0.6× 356 0.6× 350 0.6× 117 4.5k
Hitoshi Takizawa Japan 33 1.8k 1.5× 1.1k 1.1× 318 0.4× 410 0.7× 534 0.9× 87 4.3k
Sinuhe Hahn Switzerland 47 2.8k 2.3× 2.0k 1.9× 633 0.9× 390 0.6× 486 0.8× 162 7.1k
Thomas A. Fleisher United States 34 2.2k 1.9× 1.8k 1.7× 1.2k 1.7× 476 0.8× 296 0.5× 55 5.5k
Bruce Mazer Canada 34 3.3k 2.8× 729 0.7× 644 0.9× 1.0k 1.7× 862 1.4× 151 5.6k

Countries citing papers authored by Kenji Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Ihara

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

All Works

20 of 20 papers shown
1.
Goto, Hironori, Souichi Suenobu, Yuhki Koga, et al.. (2025). H3K27me3 and HOXA9 expression predict prognosis in pediatric acute myeloid leukemia: an epigenetic-transcriptional correlation study. SHILAP Revista de lepidopterología. 4.
2.
Miyahara, Hiroaki, Kazuhiro Takeda, Akio Akagi, et al.. (2023). Neuropathological hallmarks in autopsied cases with mitochondrial diseases caused by the mitochondrial 3243A>G mutation. Brain Pathology. 33(6). e13199–e13199. 2 indexed citations
4.
Suenobu, Souichi, et al.. (2023). Multifaceted support for quality of life in childhood cancer survivors: Questionnaire survey. Pediatrics International. 65(1). e15706–e15706.
5.
Ihara, Kenji, et al.. (2023). Celiac Disease Genetics, Pathogenesis, and Standard Therapy for Japanese Patients. International Journal of Molecular Sciences. 24(3). 2075–2075. 13 indexed citations
6.
Kimura, Yuka, et al.. (2022). Rituximab-induced serum sickness in a girl with nephrotic syndrome. CEN Case Reports. 11(4). 506–510. 1 indexed citations
7.
Maeda, Tomoki, et al.. (2022). An Algorithm for the Detection of General Movements of Preterm Infants Based on the Instantaneous Heart Rate. Children. 10(1). 69–69. 3 indexed citations
8.
Kinoshita, Yuki, et al.. (2022). Feto‐maternal hemorrhage with placental chorioangioma: Two case reports. Pediatrics International. 64(1). e15196–e15196. 1 indexed citations
9.
Kaneko, Hideo, Minoru Takemoto, Hiroaki Murakami, et al.. (2022). Rothmund‐Thomson syndrome investigated by two nationwide surveys in Japan. Pediatrics International. 64(1). e15120–e15120. 2 indexed citations
10.
Miyahara, Hiroaki, et al.. (2021). Metabolome Characteristics of Liver Autophagy Deficiency under Starvation Conditions in Infancy. Nutrients. 13(9). 3026–3026. 4 indexed citations
11.
Miyahara, Hiroaki, et al.. (2020). The autophagy reaction in the human umbilical cord: a potential marker for estimating fetal nutrition and neonatal growth. The Journal of Maternal-Fetal & Neonatal Medicine. 35(4). 625–629. 1 indexed citations
12.
Nagasaka, Hironori, Haruki Komatsu, Ayano Inui, et al.. (2016). Circulating tricarboxylic acid cycle metabolite levels in citrin-deficient children with metabolic adaptation, with and without sodium pyruvate treatment. Molecular Genetics and Metabolism. 120(3). 207–212. 14 indexed citations
13.
Ihara, Kenji, et al.. (2012). Hypothyroidism and Levothyroxine-Responsive Liver Dysfunction in a Patient with Ring Chromosome 18 Syndrome. Thyroid. 22(10). 1080–1083. 5 indexed citations
14.
Ihara, Kenji, et al.. (2012). A girl with Hajdu-Cheney syndrome and premature ovarian failure. Journal of Pediatric Endocrinology and Metabolism. 25(1-2). 171–3. 5 indexed citations
15.
Ihara, Kenji, et al.. (2011). Biotin Deficiency in a Glycogen Storage Disease Type 1b Girl Fed Only with Glycogen Storage Disease‐Related Formula. Pediatric Dermatology. 28(3). 339–341. 5 indexed citations
16.
Yamamoto, Junko, Kenji Ihara, Hideki Nakayama, et al.. (2003). Characteristic expression of aryl hydrocarbon receptor repressor gene in human tissues: Organ-specific distribution and variable induction patterns in mononuclear cells. Life Sciences. 74(8). 1039–1049. 90 indexed citations
17.
Ihara, Kenji, et al.. (2002). A functional polymorphism in fas (CD95/APO-1) gene promoter associated with systemic lupus erythematosus.. PubMed. 29(6). 1183–8. 114 indexed citations
18.
Shoji, Yutaka, Atsuko Noguchi, Yasuko Shoji, et al.. (2002). Five novelSLC7A7 variants and y+L gene-expression pattern in cultured lymphoblasts from Japanese patients with lysinuric protein intolerance. Human Mutation. 20(5). 375–381. 24 indexed citations
19.
Miyako, Kenichi, Megumi Takemoto, Kenji Ihara, et al.. (2002). A Case of Growth Hormone and Gonadotropin Deficiency Associated with Unilateral Anophthalmia, Microphallus, Cryptorchidism, and Mental Retardation.. Endocrine Journal. 49(1). 15–20. 3 indexed citations
20.
Ahmed, S., Kenji Ihara, Shigeru Kanemitsu, et al.. (2001). Association of CTLA‐4 but not CD28 gene polymorphisms with systemic lupus erythematosus in the Japanese population. Lara D. Veeken. 40(6). 662–667. 127 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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