Akika Ejima

488 total citations
16 papers, 374 citations indexed

About

Akika Ejima is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Akika Ejima has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Akika Ejima's work include Protein Hydrolysis and Bioactive Peptides (4 papers), Adipose Tissue and Metabolism (3 papers) and Pluripotent Stem Cells Research (2 papers). Akika Ejima is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (4 papers), Adipose Tissue and Metabolism (3 papers) and Pluripotent Stem Cells Research (2 papers). Akika Ejima collaborates with scholars based in Japan, United States and Belgium. Akika Ejima's co-authors include Osam Mazda, Tsunao Kishida, Kenta Yamamoto, Toshiro Yamamoto, Kenji Sato, Hiroyoshi Fujiwara, Keisuke Nishioka, Narisato Kanamura, Yoshiki Sato and Toshikazu Kubo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Akika Ejima

15 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akika Ejima Japan	12	218	76	57	40	37	16	374
Behrang Alani Iran	14	292 1.3×	52 0.7×	42 0.7×	37 0.9×	62 1.7×	42	601
Kai Hang China	11	230 1.1×	30 0.4×	41 0.7×	47 1.2×	44 1.2×	24	435
Zhongyang Sun China	12	344 1.6×	61 0.8×	33 0.6×	48 1.2×	15 0.4×	22	494
Guilian Sun China	9	206 0.9×	40 0.5×	43 0.8×	18 0.5×	46 1.2×	21	308
Joseph Muñoz United States	7	171 0.8×	56 0.7×	36 0.6×	64 1.6×	27 0.7×	10	411
Suwen Bai China	14	332 1.5×	49 0.6×	50 0.9×	35 0.9×	32 0.9×	30	560
Shigeyuki Kanazawa Japan	13	179 0.8×	45 0.6×	79 1.4×	27 0.7×	43 1.2×	17	575
Shuyang Zhao China	13	255 1.2×	49 0.6×	41 0.7×	12 0.3×	32 0.9×	29	486
Kiranmai Chadipiralla India	11	183 0.8×	35 0.5×	40 0.7×	19 0.5×	61 1.6×	21	374
Zhifang Wu China	10	143 0.7×	54 0.7×	44 0.8×	17 0.4×	46 1.2×	23	344

Countries citing papers authored by Akika Ejima

Since Specialization

Citations

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

Fields of papers citing papers by Akika Ejima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akika Ejima

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

All Works

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16 of 16 papers shown

Dong, Wentao, Cécile Debacker, Julien Dairou, et al.. (2024). MFSD1 with its accessory subunit GLMP functions as a general dipeptide uniporter in lysosomes. Nature Cell Biology. 26(7). 1047–1061. 6 indexed citations

Liu, Shuyu, et al.. (2022). Gly-Pro protects normal human dermal fibroblasts from UVA-induced damages via MAPK-NF-κB signaling pathway. Journal of Photochemistry and Photobiology B Biology. 237. 112601–112601. 17 indexed citations

Sakaguchi, Morihiko, et al.. (2021). Extractive Components in the Ordinary and Dark Muscles of Katsuobushi Manufactured by Different Processes. Nippon Shokuhin Kagaku Kogaku Kaishi. 68(1). 38–44.

Nakagawasai, Osamu, Kotaro Yamada, Wakana Sakuma, et al.. (2020). A novel dipeptide derived from porcine liver hydrolysate induces recovery from physical fatigue in a mouse model. Journal of Functional Foods. 76. 104312–104312. 13 indexed citations

Liang, Chen, Akika Ejima, Ruizeng Gu, et al.. (2019). Presence of Exopeptidase-Resistant and Susceptible Peptides in a Bacterial Protease Digest of Corn Gluten. Journal of Agricultural and Food Chemistry. 67(43). 11948–11954. 15 indexed citations

Ejima, Akika, Kotaro Yamada, & Kenji Sato. (2019). Presence of aspartic dipeptides with β peptide bond and/or D-aspartyl residue in rat blood after ingestion of porcine liver protein hydrolysate. 2(7). 155–155. 6 indexed citations

Ejima, Akika, et al.. (2018). Generation of antibacterial peptides from crude cheese whey using pepsin and rennet enzymes at various pH conditions. Journal of the Science of Food and Agriculture. 99(2). 555–563. 14 indexed citations

Kishida, Tsunao, Akika Ejima, Michiaki Murakoshi, et al.. (2018). Bovine lactoferrin promotes energy expenditure via the cAMP-PKA signaling pathway in human reprogrammed brown adipocytes. BioMetals. 31(3). 415–424. 12 indexed citations

Ejima, Akika, Megumi Nakamura, Yasushi Suzuki, & Kenji Sato. (2018). Identification of food-derived peptides in human blood after ingestion of corn and wheat gluten hydrolysates. Journal of Food Bioactives. 104–111. 33 indexed citations

10.

Kishida, Tsunao, Akika Ejima, & Osam Mazda. (2016). Specific Destruction of HIV Proviral p17 Gene in T Lymphoid Cells Achieved by the Genome Editing Technology. Frontiers in Microbiology. 7. 1001–1001. 4 indexed citations

11.

Kishida, T, Kenta Yamamoto, Toshiharu Shirai, et al.. (2015). Transduction of Oct6 or Oct9 gene concomitant with Myc family gene induced osteoblast-like phenotypic conversion in normal human fibroblasts. Biochemical and Biophysical Research Communications. 467(4). 1110–1116. 17 indexed citations

12.

Yamamoto, Kenta, Tsunao Kishida, Yoshiki Sato, et al.. (2015). Direct conversion of human fibroblasts into functional osteoblasts by defined factors. Proceedings of the National Academy of Sciences. 112(19). 6152–6157. 99 indexed citations

13.

Fujii, Wataru, Yutaka Kawahito, Hidetake Nagahara, et al.. (2015). Monocarboxylate Transporter 4, Associated With the Acidification of Synovial Fluid, Is a Novel Therapeutic Target for Inflammatory Arthritis. Arthritis & Rheumatology. 67(11). 2888–2896. 50 indexed citations

14.

Kishida, Tsunao, Akika Ejima, Kenta Yamamoto, et al.. (2015). Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes. Stem Cell Reports. 5(4). 569–581. 46 indexed citations

15.

Kishida, Tsunao, Akika Ejima, Kenta Yamamoto, et al.. (2014). Inhibition of osteoclastogenesis by osteoblast-like cells genetically engineered to produce interleukin-10. Biochemical and Biophysical Research Communications. 456(3). 785–791. 15 indexed citations

16.

Gao, Fei, Tsunao Kishida, Akika Ejima, Satoshi Gojo, & Osam Mazda. (2013). Myostatin acts as an autocrine/paracrine negative regulator in myoblast differentiation from human induced pluripotent stem cells. Biochemical and Biophysical Research Communications. 431(2). 309–314. 27 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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