Fujimi Kudo

447 total citations
10 papers, 238 citations indexed

About

Fujimi Kudo is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Fujimi Kudo has authored 10 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Fujimi Kudo's work include Eosinophilic Esophagitis (4 papers), IL-33, ST2, and ILC Pathways (4 papers) and Immune cells in cancer (3 papers). Fujimi Kudo is often cited by papers focused on Eosinophilic Esophagitis (4 papers), IL-33, ST2, and ILC Pathways (4 papers) and Immune cells in cancer (3 papers). Fujimi Kudo collaborates with scholars based in Japan and Russia. Fujimi Kudo's co-authors include Ichiro Manabe, Yumiko Oishi, Junichi Sugita, Ryozo Nagai, Tsukasa Oshima, Issei Komuro, Katsuhito Fujiu, Yukiteru Nakayama, Masashi Ikutani and Atsushi Kaneda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Fujimi Kudo

10 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fujimi Kudo Japan	8	105	96	70	56	33	10	238
Runda Wu China	7	182 1.7×	68 0.7×	29 0.4×	73 1.3×	71 2.2×	21	280
Giuseppe Rizzo Germany	4	166 1.6×	140 1.5×	34 0.5×	118 2.1×	11 0.3×	6	311
Nicolas Villa-Roel United States	7	192 1.8×	107 1.1×	26 0.4×	73 1.3×	57 1.7×	12	311
Kazumasa Kanemaru Japan	9	105 1.0×	118 1.2×	21 0.3×	33 0.6×	20 0.6×	14	249
Mara Stellato Switzerland	7	138 1.3×	65 0.7×	44 0.6×	125 2.2×	30 0.9×	9	301
Efthymios Fidanis United Kingdom	3	89 0.8×	30 0.3×	44 0.6×	35 0.6×	12 0.4×	3	172
Valeria Scagliotti United Kingdom	9	97 0.9×	68 0.7×	62 0.9×	23 0.4×	15 0.5×	14	302
Jozef L. Van Herck Belgium	6	82 0.8×	107 1.1×	79 1.1×	79 1.4×	56 1.7×	7	309
Solenne Marie France	9	111 1.1×	160 1.7×	70 1.0×	12 0.2×	15 0.5×	11	299

Countries citing papers authored by Fujimi Kudo

Since Specialization

Citations

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

Fields of papers citing papers by Fujimi Kudo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fujimi Kudo

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

All Works

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10 of 10 papers shown

Hayakawa, Sumio, Atsushi Tamura, Nikita G. Nikiforov, et al.. (2022). Activated cholesterol metabolism is integral for innate macrophage responses by amplifying Myd88 signaling. JCI Insight. 7(22). 19 indexed citations

Fujimoto, Masanori, Masataka Yokoyama, Masahiro Kiuchi, et al.. (2022). Liver group 2 innate lymphoid cells regulate blood glucose levels through IL-13 signaling and suppression of gluconeogenesis. Nature Communications. 13(1). 5408–5408. 21 indexed citations

Liu, Lin, Hiroyuki Koike, T. Ono, et al.. (2021). Identification of a KLF5-dependent program and drug development for skeletal muscle atrophy. Proceedings of the National Academy of Sciences. 118(35). 30 indexed citations

Sugita, Junichi, Katsuhito Fujiu, Yukiteru Nakayama, et al.. (2021). Cardiac macrophages prevent sudden death during heart stress. Nature Communications. 12(1). 1910–1910. 67 indexed citations

Nakayama, Yukiteru, Katsuhito Fujiu, Ryuzaburo Yuki, et al.. (2020). A long noncoding RNA regulates inflammation resolution by mouse macrophages through fatty acid oxidation activation. Proceedings of the National Academy of Sciences. 117(25). 14365–14375. 41 indexed citations

Kudo, Fujimi, Masashi Ikutani, Masanori Iseki, & Satoshi Takaki. (2017). Cyclosporin A indirectly attenuates activation of group 2 innate lymphoid cells in papain-induced lung inflammation. Cellular Immunology. 323. 33–40. 7 indexed citations

Ikutani, Masashi, Koichi Tsuneyama, Makoto Kawaguchi, et al.. (2017). Prolonged activation of IL-5–producing ILC2 causes pulmonary arterial hypertrophy. JCI Insight. 2(7). e90721–e90721. 21 indexed citations

Kudo, Fujimi, Masashi Ikutani, Takeshi Otsubo, et al.. (2015). Interferon‐γ constrains cytokine production of group 2 innate lymphoid cells. Immunology. 147(1). 21–29. 26 indexed citations

Nakano, Manabu, Fujimi Kudo, Toshiya Nakamura, et al.. (2013). Uracil nucleotides enhance the degranulation of human basophils induced by anti-IgE antibody via a purinergic receptor (P6016). The Journal of Immunology. 190(Supplement_1). 59.9–59.9. 2 indexed citations

10.

Kudo, Fujimi, et al.. (2012). Neutrophil phagocytosis is down-regulated by nucleotides until encounter with pathogens. Immunology Letters. 144(1-2). 24–32. 4 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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