Masami Ojima

414 total citations
17 papers, 339 citations indexed

About

Masami Ojima is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Masami Ojima has authored 17 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Masami Ojima's work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Genetic Syndromes and Imprinting (2 papers). Masami Ojima is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Genetic Syndromes and Imprinting (2 papers). Masami Ojima collaborates with scholars based in Japan, United States and Egypt. Masami Ojima's co-authors include Satoru Takahashi, Keigyou Yoh, Naoki Morito, Homare Shimohata, Akiko Yamada, Sho‐ichi Yamagishi, Aki Hirayama, Ken Itoh, Masayuki Yamamoto and Takako Nakano and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Masami Ojima

17 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masami Ojima Japan	8	191	66	60	48	42	17	339
Donghee Kim South Korea	11	206 1.1×	58 0.9×	62 1.0×	56 1.2×	25 0.6×	24	366
Xiaoqiang Geng China	11	196 1.0×	45 0.7×	82 1.4×	23 0.5×	38 0.9×	15	389
Kapil Kampe Switzerland	7	113 0.6×	98 1.5×	100 1.7×	46 1.0×	58 1.4×	9	361
Simone Costa Alarcon Arias Brazil	11	131 0.7×	40 0.6×	147 2.5×	48 1.0×	30 0.7×	16	315
Yuyan Gao China	9	169 0.9×	54 0.8×	32 0.5×	37 0.8×	19 0.5×	15	319
Santosh Kumar Goru India	13	210 1.1×	43 0.7×	75 1.3×	32 0.7×	18 0.4×	15	415
Montserrat B. Duran-Salgado Mexico	4	107 0.6×	42 0.6×	109 1.8×	44 0.9×	21 0.5×	6	349
Ningning Liang China	9	185 1.0×	39 0.6×	66 1.1×	28 0.6×	17 0.4×	13	380
Pierre Fustier Switzerland	10	154 0.8×	35 0.5×	35 0.6×	34 0.7×	49 1.2×	23	392

Countries citing papers authored by Masami Ojima

Since Specialization

Citations

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

Fields of papers citing papers by Masami Ojima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Ojima

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

All Works

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17 of 17 papers shown

Ojima, Masami, et al.. (2023). Generation and mutational analysis of a transgenic murine model of the human MAF mutation. American Journal of Medical Genetics Part A. 191(7). 1878–1888. 1 indexed citations

Morito, Naoki, Masami Ojima, Shun Ishibashi, et al.. (2023). Transcription factor c-Maf deletion improves streptozotocin-induced diabetic nephropathy by directly regulating Sglt2 and Glut2. JCI Insight. 8(6). 6 indexed citations

Ojima, Masami, et al.. (2023). Exploring Large MAF Transcription Factors: Functions, Pathology, and Mouse Models with Point Mutations. Genes. 14(10). 1883–1883. 4 indexed citations

Kuno, Akihiro, et al.. (2022). MafB Maintains β-Cell Identity under MafA-Deficient Conditions. Molecular and Cellular Biology. 42(8). e0054121–e0054121. 4 indexed citations

Matsumoto, Yuka, et al.. (2020). An Inducible Diabetes Mellitus Murine Model Based on MafB Conditional Knockout under MafA-Deficient Condition. International Journal of Molecular Sciences. 21(16). 5606–5606. 4 indexed citations

Ojima, Masami, et al.. (2020). c-MAF deletion in adult C57BL/6J mice induces cataract formation and abnormal differentiation of lens fiber cells. EXPERIMENTAL ANIMALS. 69(2). 242–249. 9 indexed citations

Chang, Yu-Hsien, M Katoh, Masami Ojima, et al.. (2019). Uncovering the role of MAFB in glucagon production and secretion in pancreatic α-cells using a new α-cell-specific <i>Mafb</i> conditional knockout mouse model. EXPERIMENTAL ANIMALS. 69(2). 178–188. 6 indexed citations

Jeon, Hyojung, et al.. (2019). Phenotypic analysis of mice carrying human-type MAFB p.Leu239Pro mutation. Biochemical and Biophysical Research Communications. 523(2). 452–457. 7 indexed citations

Koshida, Ryusuke, et al.. (2019). Neuron-specific <i>Mafb</i> knockout causes growth retardation accompanied by an impaired growth hormone/insulin-like growth factor I axis. EXPERIMENTAL ANIMALS. 68(4). 435–442. 2 indexed citations

10.

Morito, Naoki, Keigyou Yoh, Hisashi Oishi, et al.. (2017). Transcription factor MafB may play an important role in secondary hyperparathyroidism. Kidney International. 93(1). 54–68. 17 indexed citations

11.

Yoh, Keigyou, Masami Ojima, & Satoru Takahashi. (2015). Th2-biased GATA-3 transgenic mice developed severe experimental peritoneal fibrosis compared with Th1-biased T-bet and Th17-biased RORγt transgenic mice. EXPERIMENTAL ANIMALS. 64(4). 353–362. 7 indexed citations

12.

Morito, Naoki, Keigyou Yoh, Masami Ojima, et al.. (2014). Overexpression of Mafb in Podocytes Protects against Diabetic Nephropathy. Journal of the American Society of Nephrology. 25(11). 2546–2557. 33 indexed citations

13.

Okamura, Midori, Keigyou Yoh, Masami Ojima, Naoki Morito, & Satoru Takahashi. (2014). Overexpression of GATA-3 in T Cells Accelerates Dextran Sulfate Sodium-Induced Colitis. EXPERIMENTAL ANIMALS. 63(2). 133–140. 25 indexed citations

14.

Yoh, Keigyou, Naoki Morito, Masami Ojima, et al.. (2012). Overexpression of RORγt under control of the CD2 promoter induces polyclonal plasmacytosis and autoantibody production in transgenic mice. European Journal of Immunology. 42(8). 1999–2009. 20 indexed citations

15.

Fujita, Akiko, Keigyou Yoh, Homare Shimohata, et al.. (2012). A Novel Diabetes Mellitus Mouse Model, MAFA-Deficient and Beta Cell-Specific MAFK-Overexpressing Hybrid Transgenic Mice, Developed Severe Diabetic Nephropathy and Improved with TCV-116 (Candesartan Cilexetil) Treatment. EXPERIMENTAL ANIMALS. 61(1). 49–57. 2 indexed citations

16.

Shimohata, Homare, Keigyou Yoh, Akiko Fujita, et al.. (2009). MafA-deficient and beta cell-specific MafK-overexpressing hybrid transgenic mice develop human-like severe diabetic nephropathy. Biochemical and Biophysical Research Communications. 389(2). 235–240. 12 indexed citations

17.

Yoh, Keigyou, Aki Hirayama, Akiko Yamada, et al.. (2008). Hyperglycemia induces oxidative and nitrosative stress and increases renal functional impairment in Nrf2‐deficient mice. Genes to Cells. 13(11). 1159–1170. 180 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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