Eiji Miyoshi
About
Eiji Miyoshi is a scholar working on Molecular Biology, Immunology and Oncology.
According to data from OpenAlex, Eiji Miyoshi has authored 311 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 221 papers in Molecular Biology, 127 papers in Immunology and 55 papers in Oncology. Recurrent topics in Eiji Miyoshi's work include Glycosylation and Glycoproteins Research (187 papers), Galectins and Cancer Biology (94 papers) and Carbohydrate Chemistry and Synthesis (41 papers). Eiji Miyoshi is often cited by papers focused on Glycosylation and Glycoproteins Research (187 papers), Galectins and Cancer Biology (94 papers) and Carbohydrate Chemistry and Synthesis (41 papers). Eiji Miyoshi collaborates with scholars based in Japan, United States and South Korea. Eiji Miyoshi's co-authors include Naoyuki Taniguchi, Kenta Moriwaki, Jianguo Gu, Takatoshi Nakagawa, Koichi Honke, Norio Hayashi, Yoshihiro Kamada, Katsuhisa Noda, Yoshito Ihara and Motoko Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
In The Last Decade
Eiji Miyoshi
303 papers receiving 12.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Eiji Miyoshi Japan | 61 | 9.0k | 4.5k | 2.2k | 1.9k | 1.7k | 311 | 12.5k | ||
| Steven Grant United States | 79 | 16.7k 1.9× | 2.2k 0.5× | 1.2k 0.5× | 6.3k 3.3× | 654 0.4× | 451 | 23.2k | ||
| Surender Kharbanda United States | 70 | 12.1k 1.3× | 2.2k 0.5× | 816 0.4× | 4.0k 2.1× | 917 0.5× | 191 | 15.5k | ||
| Avraham Raz United States | 75 | 9.4k 1.0× | 7.6k 1.7× | 443 0.2× | 3.9k 2.1× | 619 0.4× | 228 | 15.2k | ||
| George Panayotou Greece | 48 | 7.9k 0.9× | 1.6k 0.4× | 234 0.1× | 1.5k 0.8× | 657 0.4× | 155 | 11.1k | ||
| Aviv Gazit Israel | 45 | 5.3k 0.6× | 1.3k 0.3× | 1.1k 0.5× | 3.3k 1.7× | 717 0.4× | 99 | 9.7k | ||
| David Stokoe United States | 53 | 11.5k 1.3× | 2.1k 0.5× | 477 0.2× | 3.5k 1.9× | 380 0.2× | 96 | 15.7k | ||
| Mayumi Ono Japan | 61 | 7.4k 0.8× | 1.7k 0.4× | 390 0.2× | 4.0k 2.1× | 606 0.4× | 214 | 12.1k | ||
| Martin McMahon United States | 72 | 12.9k 1.4× | 2.7k 0.6× | 510 0.2× | 7.2k 3.8× | 352 0.2× | 167 | 17.9k | ||
| Naoya Fujita Japan | 61 | 6.7k 0.7× | 1.4k 0.3× | 325 0.2× | 4.4k 2.4× | 544 0.3× | 205 | 11.4k | ||
| Kimitoshi Kohno Japan | 70 | 9.7k 1.1× | 1.5k 0.3× | 393 0.2× | 4.3k 2.3× | 323 0.2× | 249 | 13.9k |
Countries citing papers authored by Eiji Miyoshi
Since
Specialization
Citations
This map shows the geographic impact of Eiji Miyoshi'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 Eiji Miyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Miyoshi more than expected).
Fields of papers citing papers by Eiji Miyoshi
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Eiji Miyoshi. 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 Eiji Miyoshi. The network helps show where Eiji Miyoshi may publish in the future.
Co-authorship network of co-authors of Eiji Miyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Miyoshi. A scholar is included among the top collaborators of Eiji Miyoshi 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 Eiji Miyoshi. Eiji Miyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kamada, Yoshihiro, Shinji Takamatsu, Jumpei Kondo, et al.. (2024). Generation and validation of antibody 42B1 recognizing galactose-deficient IgG for diagnosis of chronic inflammatory diseases. Clinica Chimica Acta. 566. 120052–120052.
2.
Kamada, Yoshihiro, et al.. (2024). Utility of Mac-2 binding protein glycosylation isomer as an excellent biomarker for the prediction of liver fibrosis, activity, and hepatocellular carcinoma onset: an expert review. Journal of Gastroenterology. 60(1). 10–23.
3.
Kamada, Yoshihiro, et al.. (2024). Core-fucose-specific Pholiota squarrosa lectin decreased hepatic inflammatory macrophage infiltration in steatohepatitis mice. Glycoconjugate Journal. 41(4-5). 267–278.
4.
Manabe, Yoshiyuki, Kazuya Kabayama, Yoshihiro Kamada, et al.. (2024). Development of a FUT8 Inhibitor with Cellular Inhibitory Properties. Angewandte Chemie International Edition. 63(52). e202414682–e202414682.
5.
Kang, Keunsoo, Moon‐Hyeong Seo, Jin‐Man Kim, et al.. (2023). Terminal fucosylation of haptoglobin in cancer-derived exosomes during cholangiocarcinoma progression. Frontiers in Oncology. 13. 1183442–1183442.
6.
Kondo, Jumpei, Kunishige Onuma, Hiroshi Horie, et al.. (2023). Hepatocyte differentiation from mouse liver ductal organoids by transducing 4 liver-specific transcription factors. Hepatology Communications. 7(5).
7.
Kondo, Jumpei, Ikumi Tamura, Kayoko Shimizu, et al.. (2023). Prohaptoglobin is a possible prognostic biomarker for colorectal cancer. Biochemical and Biophysical Research Communications. 672. 72–80.
8.
Takamatsu, Shinji, Jumpei Kondo, Tomoya Fukuoka, et al.. (2022). Enterococcus spp. have higher fitness for survival, in a pH ‐dependent manner, in pancreatic juice among duodenal bacterial flora. JGH Open. 6(1). 85–90.
9.
Hatano, Koji, Tohru Yoneyama, Shingo Hatakeyama, et al.. (2021). Simultaneous analysis of serum α2,3-linked sialylation and core-type fucosylation of prostate-specific antigen for the detection of high-grade prostate cancer. British Journal of Cancer. 126(5). 764–770.
10.
Zhao, Tingbi, Tsukuru Masuda, Eiji Miyoshi, & Madoka Takai. (2020). High Dye-Loaded and Thin-Shell Fluorescent Polymeric Nanoparticles for Enhanced FRET Imaging of Protein-Specific Sialylation on the Cell Surface. Analytical Chemistry. 92(19). 13271–13280.
11.
Kamada, Yoshihiro, Akiko Yamamoto, Masahiro Koseki, et al.. (2020). Loss of core fucosylation reduces low-density lipoprotein receptor expression in hepatocytes by inducing PCSK9 production. Biochemical and Biophysical Research Communications. 527(3). 682–688.
12.
Kamada, Yoshihiro, Masahiro Koseki, Yukiko Naito, et al.. (2020). Serum Mac-2 Binding Protein Levels Associate with Metabolic Parameters and Predict Liver Fibrosis Progression in Subjects with Fatty Liver Disease: A 7-Year Longitudinal Study. Nutrients. 12(6). 1770–1770.
13.
Maekawa, Tomohiro, Shinji Takamatsu, Tomoya Fukuoka, et al.. (2018). Possible involvement of Enterococcus infection in the pathogenesis of chronic pancreatitis and cancer. Biochemical and Biophysical Research Communications. 506(4). 962–969.
14.
Kamada, Yoshihiro, Ryota Hashimoto, Hidenaga Yamamori, et al.. (2016). Impact of plasma transaminase levels on the peripheral blood glutamate levels and memory functions in healthy subjects. PubMed. 5. 101–107.
15.
Mehta, Anand S., Pamela A. Norton, Hongyan Liang, et al.. (2012). Increased Levels of Tetra-antennary N -Linked Glycan but Not Core Fucosylation Are Associated with Hepatocellular Carcinoma Tissue. Cancer Epidemiology Biomarkers & Prevention. 21(6). 925–933.
16.
Shinzaki, Shinichiro, Hideki Iijima, Hironobu Fujii, et al.. (2012). Lectin-based Immunoassay for Aberrant IgG Glycosylation as the Biomarker for Crohnʼs Disease. Inflammatory Bowel Diseases. 19(2). 321–331.
17.
Inoue, Takahiro, Hideki Iijima, Michiko Tajiri, et al.. (2012). Deficiency of N-acetylgalactosamine in O-linked oligosaccharides of IgA is a novel biologic marker for Crohnʼs disease. Inflammatory Bowel Diseases. 18(9). 1723–1734.
18.
Deguchi, Takashi, Masahiro Tanemura, Eiji Miyoshi, et al.. (2010). Increased Immunogenicity of Tumor-Associated Antigen, Mucin 1, Engineered to Express α-Gal Epitopes: A Novel Approach to Immunotherapy in Pancreatic Cancer. Cancer Research. 70(13). 5259–5269.
19.
Yokoe, Shunichi, Motoko Takahashi, Michio Asahi, et al.. (2007). The Asn418-Linked N -Glycan of ErbB3 Plays a Crucial Role in Preventing Spontaneous Heterodimerization and Tumor Promotion. Cancer Research. 67(5). 1935–1942.
20.
Kim, Yong-Sam, Soo Young Hwang, Hye‐Yeon Kang, et al.. (2007). Functional Proteomics Study Reveals That N-Acetylglucosaminyltransferase V Reinforces the Invasive/Metastatic Potential of Colon Cancer through Aberrant Glycosylation on Tissue Inhibitor of Metalloproteinase-. Molecular & Cellular Proteomics. 7(1). 1–14.
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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