Mitsukiyo Fujii

2.6k total citations · 2 hit papers
15 papers, 2.3k citations indexed

About

Mitsukiyo Fujii is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Mitsukiyo Fujii has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Mitsukiyo Fujii's work include Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (4 papers) and Immunotherapy and Immune Responses (4 papers). Mitsukiyo Fujii is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (4 papers) and Immunotherapy and Immune Responses (4 papers). Mitsukiyo Fujii collaborates with scholars based in Japan and United States. Mitsukiyo Fujii's co-authors include Masao Ikeda, Masashi Kurimoto, Shimpei Ushio, Kakuji Torigoe, Mark Micallef, Fujimi Tanabe, Takanori Okura, Keizo Kohno, Tadao Tanimoto and Shigeharu Fukuda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Hepatology.

In The Last Decade

Mitsukiyo Fujii

15 papers receiving 2.2k citations

Hit Papers

Cloning of the cDNA for human IFN-γ-inducing factor, expr... 1996 2026 2006 2016 1996 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsukiyo Fujii Japan 13 1.5k 1.2k 343 255 191 15 2.3k
Kazuko Hattori Japan 4 1.4k 0.9× 1.2k 0.9× 345 1.0× 239 0.9× 192 1.0× 4 2.4k
José M. Carballido Switzerland 31 1.8k 1.2× 789 0.6× 354 1.0× 365 1.4× 138 0.7× 58 3.3k
Nobuki Hayashi Japan 13 2.0k 1.3× 1.1k 0.9× 316 0.9× 147 0.6× 190 1.0× 27 2.8k
Masako Murai Japan 20 1.8k 1.1× 605 0.5× 216 0.6× 542 2.1× 305 1.6× 33 2.8k
Omar Duramad United States 14 2.3k 1.5× 605 0.5× 280 0.8× 300 1.2× 141 0.7× 19 3.2k
Lorraine T. Tygrett United States 20 1.6k 1.0× 493 0.4× 312 0.9× 295 1.2× 85 0.4× 25 2.2k
Katsuyuki Yui Japan 27 2.5k 1.6× 1.1k 0.9× 304 0.9× 489 1.9× 184 1.0× 100 3.6k
Olga Turovskaya United States 14 2.4k 1.5× 815 0.7× 327 1.0× 323 1.3× 90 0.5× 15 3.2k
Gisen Kim United States 17 3.0k 2.0× 868 0.7× 394 1.1× 500 2.0× 103 0.5× 24 4.0k
Jean Villard Switzerland 33 1.5k 1.0× 778 0.6× 608 1.8× 384 1.5× 355 1.9× 139 3.4k

Countries citing papers authored by Mitsukiyo Fujii

Since Specialization
Citations

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

Fields of papers citing papers by Mitsukiyo Fujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsukiyo Fujii

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

All Works

15 of 15 papers shown
1.
Miyake, Masaki, Shigeto Yamamoto, Osamu Sano, et al.. (2010). Inhibitory Effects of 2-Amino-3H-phenoxazin-3-one on the Melanogenesis of Murine B16 Melanoma Cell Line. Bioscience Biotechnology and Biochemistry. 74(4). 753–758. 22 indexed citations
2.
Yamamoto, K., Madoka Taniai, Kakuji Torigoe, et al.. (2009). Creation of Interferon-α8 Mutants with Amino Acid Substitutions Against Interferon-α Receptor-2 Binding Sites Using Phage Display System and Evaluation of Their Biologic Properties. Journal of Interferon & Cytokine Research. 29(3). 161–170. 6 indexed citations
3.
Kohno, Keizo, Masaki Miyake, Osamu Sano, et al.. (2008). Anti-inflammatory and Immunomodulatory Properties of 2-Amino-3H-phenoxazin-3-one. Biological and Pharmaceutical Bulletin. 31(10). 1938–1945. 43 indexed citations
4.
Inagaki, Yutaka, Tomoyuki Nemoto, Miwa Kushida, et al.. (2003). Interferon Alfa Down–Regulates Collagen Gene Transcription and Suppresses Experimental Hepatic Fibrosis in Mice. Hepatology. 38(4). 890–899. 104 indexed citations
5.
Arai, Norie, Toshiharu Hanaya, Shigeyuki Arai, et al.. (2002). Antitumor Activity of Interleukin-18 Against the Murine T-Cell Leukemia/Lymphoma EL-4 in Syngeneic Mice. Journal of Immunotherapy. 25. S28–S34. 22 indexed citations
6.
Nagai, Hiroshi, et al.. (2000). Antitumor Effects on Mouse Melanoma Elicited by Local Secretion of Interleukin-12 and Their Enhancement by Treatment with Interleukin-18. Cancer Investigation. 18(3). 206–213. 48 indexed citations
7.
Iwaki, Kanso, Yoshihiro Nishida, Mitsukiyo Fujii, et al.. (1999). Effects of Oral Administration of Interferon-alpha on Antibody Production in Mice with Induced Tolerance. Journal of Interferon & Cytokine Research. 19(8). 895–900. 11 indexed citations
8.
Kunikata, Toshio, Kanso Iwaki, Mitsukiyo Fujii, et al.. (1999). Oral Use of Interferon-alpha Delays the Onset of Insulin-Dependent Diabetes Mellitus in Nonobese Diabetes Mice. Journal of Interferon & Cytokine Research. 19(8). 877–879. 21 indexed citations
9.
Ohashi, Kunihiro, et al.. (1999). Interleukin-18 Protects Mice against Acute Herpes Simplex Virus Type 1 Infection. Journal of Virology. 73(3). 2401–2409. 147 indexed citations
10.
Micallef, Mark, Kenshi Yoshida, Toshiharu Hanaya, et al.. (1997). In vivo antitumor effects of murine interferon- γ -inducing factor/interleukin-18 in mice bearing syngeneic Meth A sarcoma malignant ascites. Cancer Immunology Immunotherapy. 43(6). 361–367. 132 indexed citations
11.
Akita, Kenji, Takashi Ohtsuki, Tadao Tanimoto, et al.. (1997). Involvement of Caspase-1 and Caspase-3 in the Production and Processing of Mature Human Interleukin 18 in Monocytic THP.1 Cells. Journal of Biological Chemistry. 272(42). 26595–26603. 179 indexed citations
12.
Torigoe, Kakuji, Shimpei Ushio, Takanori Okura, et al.. (1997). Purification and Characterization of the Human Interleukin-18 Receptor. Journal of Biological Chemistry. 272(41). 25737–25742. 413 indexed citations
13.
Ushio, Shimpei, Takanori Okura, Kouji Hattori, et al.. (1996). Cloning of the cDNA for human IFN-γ-inducing factor, expression in Escherichia coli, and studies on the biologic activities of the protein. The Journal of Immunology. 156(11). 4274–4279. 563 indexed citations breakdown →
14.
Micallef, Mark, Takashi Ohtsuki, Keizo Kohno, et al.. (1996). Interferon‐γ‐inducing factor enhances T helper 1 cytokine production by stimulated human T cells: synergism with interleukin‐12 for interferon‐γ production. European Journal of Immunology. 26(7). 1647–1651. 521 indexed citations breakdown →
15.
Fukuda, Shigeharu, Shunsaku Ando, Madoka Taniai, et al.. (1988). Simultaneous production of natural human tumor necrosis factor-alpha, -beta and interferon-alpha from BALL-1 cells stimulated by HVJ.. PubMed. 7(2). 175–85. 59 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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