Koichi Higaki

435 total citations
9 papers, 366 citations indexed

About

Koichi Higaki is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Koichi Higaki has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Koichi Higaki's work include Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers) and Cell death mechanisms and regulation (2 papers). Koichi Higaki is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers) and Cell death mechanisms and regulation (2 papers). Koichi Higaki collaborates with scholars based in Japan. Koichi Higaki's co-authors include Masamichi Kojiro, Hiroko Yano, Hirohisa Yano, Jirô Watanabe, Atsuo Jimi, Seiya Momosaki, Satoshi Ogasawara, Sachiko Ogasawara, Yutaka Nakashima and Makoto Haramaki and has published in prestigious journals such as Hepatology, Journal of Hepatology and The American Journal of Surgical Pathology.

In The Last Decade

Koichi Higaki

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Higaki Japan 8 152 118 109 97 73 9 366
Masahiko Ishizaki Japan 8 111 0.7× 49 0.4× 80 0.7× 82 0.8× 41 0.6× 13 330
Núria Baixeras Spain 11 111 0.7× 28 0.2× 111 1.0× 20 0.2× 36 0.5× 24 326
Young Hwa Chung South Korea 9 98 0.6× 180 1.5× 145 1.3× 287 3.0× 57 0.8× 14 530
R A Sastry India 11 133 0.9× 121 1.0× 107 1.0× 13 0.1× 36 0.5× 31 350
L F Sheu Taiwan 10 154 1.0× 67 0.6× 170 1.6× 16 0.2× 57 0.8× 13 353
Tetsuo Takuma Japan 5 93 0.6× 92 0.8× 70 0.6× 80 0.8× 15 0.2× 15 315
Megan Karwan United States 6 140 0.9× 70 0.6× 78 0.7× 68 0.7× 77 1.1× 8 481
Marcy Clayton United States 9 197 1.3× 21 0.2× 61 0.6× 113 1.2× 74 1.0× 11 434
Yasuo Arima Japan 14 213 1.4× 343 2.9× 132 1.2× 100 1.0× 201 2.8× 37 644
Kazuhiko Okada Japan 9 103 0.7× 82 0.7× 226 2.1× 92 0.9× 62 0.8× 30 496

Countries citing papers authored by Koichi Higaki

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Higaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Higaki

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

All Works

9 of 9 papers shown
1.
Yamaguchi, Rin, Hirohisa Yano, Yutaka Nakashima, et al.. (2000). Expression and localization of vascular endothelial growth factor receptors in human hepatocellular carcinoma and non-HCC tissues.. Oncology Reports. 7(4). 725–9. 83 indexed citations
2.
Yano, Hirohisa, et al.. (2000). Expression of Hu-IFN-alphaR2 chain of type I interferon receptor in human hepatocellular carcinoma and non-cancerous tissues.. International Journal of Molecular Medicine. 6(6). 621–7. 10 indexed citations
3.
Higaki, Koichi, et al.. (1998). Epidermoid Cyst of the Spleen With CA19-9 or Carcinoembryonic Antigen Productions. The American Journal of Surgical Pathology. 22(6). 704–708. 84 indexed citations
4.
Fukuda, Kazunori, Makoto Haramaki, Seiya Momosaki, et al.. (1996). Expression of Fas and anti-Fas-mediated apoptosis in human hepatocellular carcinoma cell lines. Journal of Hepatology. 25(4). 454–464. 33 indexed citations
5.
Yano, Hirohisa, Akihiro Iemura, Makoto Haramaki, et al.. (1996). A human combined hepatocellular and cholangiocarcinoma cell line (KMCH-2) that shows the features of hepatocellular carcinoma or cholangiocarcinoma under different growth conditions. Journal of Hepatology. 24(4). 413–422. 38 indexed citations
6.
Higaki, Koichi, Hiroko Yano, & Masamichi Kojiro. (1996). Fas antigen expression and its relationship with apoptosis in human hepatocellular carcinoma and noncancerous tissues.. PubMed. 149(2). 429–37. 76 indexed citations
7.
Momosaki, Seiya, et al.. (1995). Expression of intercellular adhesion molecule 1 in human hepatocellular carcinoma.. PubMed. 22(6). 1708–13. 23 indexed citations
8.
Momosaki, Seiya, et al.. (1995). Expression of intercellular adhesion molecule 1 in human hepatocellular carcinoma. Hepatology. 22(6). 1708–1713. 14 indexed citations
9.
Shimamatsu, Kazuhide, Akihiro Iemura, Osamu Nakashima, et al.. (1994). Squamous Cell Carcinoma of the Ovary. A Case Report.. The Kurume Medical Journal. 41(4). 177–182. 5 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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