Daisuke Iejima

887 total citations
18 papers, 564 citations indexed

About

Daisuke Iejima is a scholar working on Molecular Biology, Ophthalmology and Neurology. According to data from OpenAlex, Daisuke Iejima has authored 18 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Ophthalmology and 4 papers in Neurology. Recurrent topics in Daisuke Iejima's work include Retinal Development and Disorders (7 papers), Glaucoma and retinal disorders (5 papers) and Bone and Dental Protein Studies (4 papers). Daisuke Iejima is often cited by papers focused on Retinal Development and Disorders (7 papers), Glaucoma and retinal disorders (5 papers) and Bone and Dental Protein Studies (4 papers). Daisuke Iejima collaborates with scholars based in Japan, China and United States. Daisuke Iejima's co-authors include Takeshi Iwata, Mao Nakayama, Yuriko Minegishi, Kazuhide Kawase, Toshimasa Uemura, Takashi Saito, Shinsuke Yuasa, Keiichi Fukuda, Hiroko Kojima and Minoru Ueda and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Biomaterials.

In The Last Decade

Daisuke Iejima

18 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Iejima Japan 12 275 205 127 90 67 18 564
S.C. Dieudonné Netherlands 12 188 0.7× 123 0.6× 108 0.9× 104 1.2× 20 0.3× 15 438
Yolandi van der Merwe United States 15 181 0.7× 167 0.8× 123 1.0× 151 1.7× 25 0.4× 30 677
Wodong Shi China 11 151 0.5× 104 0.5× 126 1.0× 50 0.6× 21 0.3× 26 510
Chunyi Shao China 15 75 0.3× 97 0.5× 50 0.4× 332 3.7× 15 0.2× 35 622
Ying Hong China 10 71 0.3× 155 0.8× 58 0.5× 114 1.3× 7 0.1× 26 357
Junzhao Chen China 13 160 0.6× 57 0.3× 45 0.4× 186 2.1× 7 0.1× 26 419
Jia‐Kang Wang China 11 84 0.3× 182 0.9× 28 0.2× 164 1.8× 17 0.3× 32 437
Eliška Javorková Czechia 15 164 0.6× 37 0.2× 48 0.4× 265 2.9× 16 0.2× 35 646
Indumathi Mariappan India 16 249 0.9× 78 0.4× 45 0.4× 371 4.1× 7 0.1× 27 649
M. Zingírian Italy 10 173 0.6× 429 2.1× 46 0.4× 1.2k 13.9× 15 0.2× 56 1.5k

Countries citing papers authored by Daisuke Iejima

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Iejima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Iejima

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

All Works

18 of 18 papers shown
1.
Iejima, Daisuke, et al.. (2025). Clinical features and molecular mechanisms of RP1L1 variants causing occult macular dystrophy. Human Genetics and Genomics Advances. 6(3). 100461–100461. 1 indexed citations
2.
Pan, Yang, Akiko Suga, Itaru Kimura, et al.. (2022). METTL23 mutation alters histone H3R17 methylation in normal-tension glaucoma. Journal of Clinical Investigation. 132(21). 21 indexed citations
3.
Pan, Yang, Daisuke Iejima, Mao Nakayama, et al.. (2021). Binding of Gtf2i-β/δ transcription factors to the ARMS2 gene leads to increased circulating HTRA1 in AMD patients and in vitro. Journal of Biological Chemistry. 296. 100456–100456. 11 indexed citations
4.
Katagiri, Satoshi, Takaaki Hayashi, Kazutoshi Yoshitake, et al.. (2019). Novel biallelic loss-of-function KCNV2 variants in cone dystrophy with supernormal rod responses. Documenta Ophthalmologica. 138(3). 229–239. 14 indexed citations
5.
Minegishi, Yuriko, Xunlun Sheng, Kazutoshi Yoshitake, et al.. (2016). CCT2 Mutations Evoke Leber Congenital Amaurosis due to Chaperone Complex Instability. Scientific Reports. 6(1). 33742–33742. 30 indexed citations
6.
Minegishi, Yuriko, Mao Nakayama, Daisuke Iejima, Kazuhide Kawase, & Takeshi Iwata. (2016). Significance of optineurin mutations in glaucoma and other diseases. Progress in Retinal and Eye Research. 55. 149–181. 88 indexed citations
7.
Iejima, Daisuke, Mao Nakayama, Toru Noda, Atsushi Mizota, & Takeshi Iwata. (2015). Human HTRA1 expression is enhanced by indel mutation in the HTRA1 regulatory element region.. Investigative Ophthalmology & Visual Science. 56(7). 4194–4194. 1 indexed citations
8.
Iejima, Daisuke, Mao Nakayama, & Takeshi Iwata. (2015). HTRA1 Overexpression Induces the Exudative Form of Age-related Macular Degeneration.. PubMed. 10(3). 193–203. 18 indexed citations
9.
10.
Nakayama, Mao, Daisuke Iejima, Masakazu Akahori, et al.. (2014). Overexpression ofHtrA1and Exposure to Mainstream Cigarette Smoke Leads to Choroidal Neovascularization and Subretinal Deposits in Aged Mice. Investigative Ophthalmology & Visual Science. 55(10). 6514–6514. 46 indexed citations
11.
Minegishi, Yuriko, Daisuke Iejima, Hiroaki Kobayashi, et al.. (2013). Enhanced optineurin E50K–TBK1 interaction evokes protein insolubility and initiates familial primary open-angle glaucoma. Human Molecular Genetics. 22(17). 3559–3567. 103 indexed citations
12.
Iejima, Daisuke, Yuriko Minegishi, Kazumasa Takenaka, et al.. (2010). FRS2β, a potential prognostic gene for non-small cell lung cancer, encodes a feedback inhibitor of EGF receptor family members by ERK binding. Oncogene. 29(21). 3087–3099. 6 indexed citations
13.
Kato, Ryuji, Daisuke Iejima, Hideki Agata, et al.. (2009). A Compact, Automated Cell Culture System for Clinical Scale Cell Expansion from Primary Tissues. Tissue Engineering Part C Methods. 16(5). 947–956. 26 indexed citations
14.
Iejima, Daisuke, Yoshinori Sumita, Hideaki Kagami, Yukio Ando, & Minoru Ueda. (2007). Odontoblast marker gene expression is enhanced by a CC-chemokine family protein MIP-3α in human mesenchymal stem cells. Archives of Oral Biology. 52(10). 924–931. 24 indexed citations
15.
Sumita, Yoshinori, Yukio Ando, Daisuke Iejima, et al.. (2007). Differential Inducibility of Human and Porcine Dental Pulp-Derived Cells into Odontoblasts. Connective Tissue Research. 48(5). 229–238. 31 indexed citations
16.
Iejima, Daisuke, Mi‐Hye Lee, Hiroko Kojima, et al.. (2004). Cbfa1 expression is enhanced by the immunosuppressant FK506 in the osteoblastic cell line: UMR106. Materials Science and Engineering C. 24(6-8). 845–850. 1 indexed citations
17.
Iejima, Daisuke, Takashi Saito, & Toshimasa Uemura. (2003). A collagen–phosphophoryn sponge as a scaffold for bone tissue engineering. Journal of Biomaterials Science Polymer Edition. 14(10). 1097–1103. 7 indexed citations
18.
Uemura, Toshimasa, Jian Dong, Yichao Wang, et al.. (2003). Transplantation of cultured bone cells using combinations of scaffolds and culture techniques. Biomaterials. 24(13). 2277–2286. 112 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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