Hiroshi Eguchi

3.6k total citations · 1 hit paper
96 papers, 2.9k citations indexed

About

Hiroshi Eguchi is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Hiroshi Eguchi has authored 96 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 26 papers in Molecular Biology and 20 papers in Immunology. Recurrent topics in Hiroshi Eguchi's work include Xenotransplantation and immune response (23 papers), Liver Disease Diagnosis and Treatment (9 papers) and Animal Genetics and Reproduction (9 papers). Hiroshi Eguchi is often cited by papers focused on Xenotransplantation and immune response (23 papers), Liver Disease Diagnosis and Treatment (9 papers) and Animal Genetics and Reproduction (9 papers). Hiroshi Eguchi collaborates with scholars based in Japan, United States and Germany. Hiroshi Eguchi's co-authors include Tetsurou Satoh, Kinji Inoue, Masanobu Yamada, Hiroyuki Shimizu, Masanori Yamamoto, Shinsuke Oh‐I, Takafumi Tsuchiya, Kazuhiko Horiguchi, Tsuyoshi Monden and Sachika Adachi and has published in prestigious journals such as Nature, Blood and PLoS ONE.

In The Last Decade

Hiroshi Eguchi

93 papers receiving 2.9k citations

Hit Papers

Identification of nesfatin-1 as a satiety molecule in the... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Eguchi Japan 27 825 709 622 563 553 96 2.9k
Masanobu Yamada Japan 31 1.1k 1.3× 624 0.9× 774 1.2× 914 1.6× 970 1.8× 190 3.9k
Keiji Iida Japan 28 639 0.8× 322 0.5× 743 1.2× 717 1.3× 798 1.4× 117 2.9k
Anjali K. Nath United States 20 770 0.9× 302 0.4× 702 1.1× 1.4k 2.5× 748 1.4× 38 3.2k
Thérèse Lehy France 32 945 1.1× 1.1k 1.5× 556 0.9× 940 1.7× 1.2k 2.2× 101 3.7k
Naoki Hattori Japan 30 330 0.4× 356 0.5× 762 1.2× 596 1.1× 262 0.5× 115 3.3k
Adrian C. Herington Australia 46 916 1.1× 670 0.9× 975 1.6× 2.1k 3.7× 379 0.7× 183 6.3k
Elizabeth A. Woolf United States 17 1.3k 1.6× 420 0.6× 1.3k 2.1× 1.6k 2.8× 808 1.5× 18 4.8k
Isao Shimokawa Japan 33 420 0.5× 320 0.5× 1.4k 2.3× 1.2k 2.2× 390 0.7× 172 3.6k
J. Daniel Frantz United States 14 1.0k 1.2× 195 0.3× 1.1k 1.7× 1.4k 2.5× 889 1.6× 14 3.3k
Gaetano Calı̀ Italy 31 290 0.4× 314 0.4× 443 0.7× 1.3k 2.2× 584 1.1× 80 3.3k

Countries citing papers authored by Hiroshi Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Eguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Eguchi. A scholar is included among the top collaborators of Hiroshi Eguchi 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 Hiroshi Eguchi. Hiroshi Eguchi 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.
Sakai, Rieko, Akira Maeda, Jun Matsui, et al.. (2024). The hybrid CL-SP-D molecule has the potential to regulate xenogeneic rejection by human neutrophils more efficiently than CD47. Transplant Immunology. 84. 102020–102020. 1 indexed citations
2.
Maeda, Akira, Kazuki Sato, Hiroshi Eguchi, et al.. (2022). Suppression of macrophage-mediated xenogeneic rejection by the ectopic expression of human CD177. Transplant Immunology. 74. 101663–101663. 8 indexed citations
3.
Miyagawa, Shuji, Masahito Watanabe, Hiroshi Nagashima, et al.. (2022). Study of the CRISPR/Cas3 System for Xenotransplantation. Transplantation Proceedings. 54(2). 522–524.
4.
Maeda, Akira, Rieko Sakai, Hiroshi Eguchi, et al.. (2019). The novel immunosuppressant prenylated quinolinecarboxylic acid-18 (PQA-18) suppresses macrophage differentiation and cytotoxicity in xenotransplantation. Immunobiology. 224(4). 575–584. 8 indexed citations
5.
Maeda, Akira, et al.. (2018). A membrane-type surfactant protein D (SP-D) suppresses macrophage-mediated cytotoxicity in swine endothelial cells. Transplant Immunology. 47. 44–48. 16 indexed citations
6.
Sakai, Rieko, et al.. (2017). Human CD200 suppresses macrophage-mediated xenogeneic cytotoxicity and phagocytosis. Surgery Today. 48(1). 119–126. 26 indexed citations
7.
Maeda, Akira, Rieko Sakai, Hiroshi Eguchi, et al.. (2016). Human HLA-Ev (147) Expression in Transgenic Animals. Transplantation Proceedings. 48(4). 1323–1325. 1 indexed citations
8.
Kawamura, Takuji, Shigeru Miyagawa, Satsuki Fukushima, et al.. (2015). Structural Changes in N-Glycans on Induced Pluripotent Stem Cells Differentiating Toward Cardiomyocytes. Stem Cells Translational Medicine. 4(11). 1258–1264. 22 indexed citations
9.
Maeda, Akira, Tomoko Kawamura, Kengo Nakahata, et al.. (2014). Regulation of Macrophage-Mediated Xenocytotoxicity by Overexpression of Alpha-2,6-sialyltransferase in Swine Endothelial Cells. Transplantation Proceedings. 46(4). 1256–1258. 11 indexed citations
10.
Miyagawa, Shuji, Akira Maeda, Hiroshi Eguchi, et al.. (2014). A structural analysis of N-glycans of neonatal porcine islet-like cell clusters (NPCC). Transplant Immunology. 31(1). 48–53. 3 indexed citations
11.
Maeda, Akira, Takuji Kawamura, Takehisa Ueno, et al.. (2013). The suppression of inflammatory macrophage-mediated cytotoxicity and proinflammatory cytokine production by transgenic expression of HLA-E. Transplant Immunology. 29(1-4). 76–81. 55 indexed citations
12.
13.
Tsuji, Shingo, Masahiko Tsujii, Yoshiyuki Kanazawa, et al.. (2008). Involvement of bone marrow‐derived stromal cells in gastrointestinal cancer development and metastasis. Journal of Gastroenterology and Hepatology. 23(s2). S242–9. 5 indexed citations
14.
Oh‐I, Shinsuke, Hiroyuki Shimizu, Tetsurou Satoh, et al.. (2006). Identification of nesfatin-1 as a satiety molecule in the hypothalamus. Nature. 443(7112). 709–712. 832 indexed citations breakdown →
15.
Murata, Hiroaki, Shingo Tsuji, Masahiko Tsujii, et al.. (2005). Gastroprotective Agent Rebamipide Induces Cyclooxygenase-2 (COX-2) in Gastric Epithelial Cells. Digestive Diseases and Sciences. 50(S1). S70–S75. 22 indexed citations
17.
Takeda, Kazuo, et al.. (2005). Fe(II)/Cu(I)-dependent P-type ATPase activity in the liver of long-evans cinnamon rats. Life Sciences. 76(19). 2203–2209. 4 indexed citations
18.
Eguchi, Hiroshi, Christoph Knosalla, Ping Lan, et al.. (2004). T Cells from Presensitized Donors Fail to Cause Graft-versus-Host Disease in a Pig-to-Mouse Xenotransplantation Model. Transplantation. 78(11). 1609–1617. 4 indexed citations
19.
Sato, Nobuhiro, Seiji Kawano, Tae Matsumura, et al.. (1989). Characterization of Hepatic Hemodynamics in Cirrhotics and Non-Cirrhotics Effect of Glucagon Infusion. Scandinavian Journal of Gastroenterology. 24(2). 223–230. 3 indexed citations
20.
Eguchi, Hiroshi, et al.. (1988). In Vivo Estimation of Oxygen Saturation of Hemoglobin in Hepatic Lobules in Rats. Advances in experimental medicine and biology. 222. 591–596. 6 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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