Kenji Daigo

1.5k total citations
19 papers, 949 citations indexed

About

Kenji Daigo is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kenji Daigo has authored 19 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Kenji Daigo's work include Biomarkers in Disease Mechanisms (10 papers), Inflammasome and immune disorders (4 papers) and Genetic Syndromes and Imprinting (1 paper). Kenji Daigo is often cited by papers focused on Biomarkers in Disease Mechanisms (10 papers), Inflammasome and immune disorders (4 papers) and Genetic Syndromes and Imprinting (1 paper). Kenji Daigo collaborates with scholars based in Japan, Italy and United States. Kenji Daigo's co-authors include Alberto Mantovani, Natasa Isailovic, Carlo Selmi, Takao Hamakubo, Barbara Bottazzi, Tatsuhiko Kodama, Makoto Naito, Riuko Ohashi, Yuichiro Takamatsu and Cecília Garlanda and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Kenji Daigo

19 papers receiving 939 citations

Peers

Kenji Daigo

IMMUN

EPIDE

SURGE

PRM

Vidal Delgado‐Rizo Mexico

Jooho Chung United States

Ivica Jeremić Serbia

Pei Xiong Liew United States

Wael N. Jarjour United States

Huiying Lu China

Hisakazu Takatsuka Japan

Scott D. Pope United States

Masato Moriguchi Japan

Jia Tong China

Vidal Delgado‐Rizo Mexico

Kenji Daigo

579 ×1.1

IMMUN

284 ×0.9

129 ×1.4

EPIDE

51 ×0.7

SURGE

96 ×1.4

PRM

Citations per year, relative to Kenji Daigo Kenji Daigo (= 1×) peers Vidal Delgado‐Rizo

Countries citing papers authored by Kenji Daigo

Since Specialization

Citations

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

Fields of papers citing papers by Kenji Daigo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Daigo

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

All Works

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19 of 19 papers shown

Kitoh, Toshiyuki, Taichiro Muto, Akihisa Okumura, et al.. (2021). Increased Pentraxin 3 Levels Correlate With IVIG Responsiveness and Coronary Artery Aneurysm Formation in Kawasaki Disease. Frontiers in Immunology. 12. 624802–624802. 14 indexed citations

Pan, Jian, Tiago C. Silva, Nicole Gull, et al.. (2020). Lineage-Specific Epigenomic and Genomic Activation of Oncogene HNF4A Promotes Gastrointestinal Adenocarcinomas. Cancer Research. 80(13). 2722–2736. 38 indexed citations

Daigo, Kenji & Takao Hamakubo. (2020). Expression and Purification of Full-Length and Domain-Fragment Recombinant Pentraxin 3 (PTX3) Proteins from Mammalian and Bacterial Cells. Methods in molecular biology. 2132. 65–74. 2 indexed citations

Daigo, Kenji, Yuichiro Takamatsu, & Takao Hamakubo. (2016). The Protective Effect against Extracellular Histones Afforded by Long-Pentraxin PTX3 as a Regulator of NETs. Frontiers in Immunology. 7. 344–344. 37 indexed citations

Daigo, Kenji, Antonio Inforzato, Isabella Barajon, et al.. (2016). Pentraxins in the activation and regulation of innate immunity. Immunological Reviews. 274(1). 202–217. 87 indexed citations

Isailovic, Natasa, Kenji Daigo, Alberto Mantovani, & Carlo Selmi. (2015). Interleukin-17 and innate immunity in infections and chronic inflammation. Journal of Autoimmunity. 60. 1–11. 303 indexed citations

Mitsui, Kenichi, Takeshi Kawamura, Hiroko Iwanari, et al.. (2015). Suppression of Slit2/Robo1 mediated HUVEC migration by Robo4. Biochemical and Biophysical Research Communications. 469(4). 797–802. 23 indexed citations

Kopp, Anne, Zsófia Bánlaki, Barbara Uzonyi, et al.. (2015). Factor H–Related Protein 5 Interacts with Pentraxin 3 and the Extracellular Matrix and Modulates Complement Activation. The Journal of Immunology. 194(10). 4963–4973. 68 indexed citations

Daigo, Kenji, Alberto Mantovani, & Barbara Bottazzi. (2014). The yin-yang of long pentraxin PTX3 in inflammation and immunity. Immunology Letters. 161(1). 38–43. 78 indexed citations

10.

Jiang, Shuying, Koichi Matsubara, Riuko Ohashi, et al.. (2014). Differential expression of pentraxin 3 in neutrophils. Experimental and Molecular Pathology. 98(1). 33–40. 21 indexed citations

11.

Daigo, Kenji, Makoto Nakakido, Riuko Ohashi, et al.. (2014). Protective effect of the long pentraxin PTX3 against histone-mediated endothelial cell cytotoxicity in sepsis. Science Signaling. 7(343). ra88–ra88. 41 indexed citations

12.

Daigo, Kenji & Takao Hamakubo. (2012). Host-protective effect of circulating pentraxin 3 (PTX3) and complex formation with neutrophil extracellular traps. Frontiers in Immunology. 3. 378–378. 51 indexed citations

13.

Daigo, Kenji, Takeshi Kawamura, Koichi Matsubara, et al.. (2012). The Proteomic Profile of Circulating Pentraxin 3 (PTX3) Complex in Sepsis Demonstrates the Interaction with Azurocidin 1 and Other Components of Neutrophil Extracellular Traps. Molecular & Cellular Proteomics. 11(6). M111.015073–M111.015073. 50 indexed citations

14.

Saravanan, Govindachetty, Kenji Daigo, Toyoko Imae, & Takao Hamakubo. (2010). Visual observation of avidin–biotin affinity by fluorescent G4.5 poly(amidoamine) dendrimer. Colloids and Surfaces B Biointerfaces. 83(1). 58–60. 11 indexed citations

15.

Daigo, Kenji, Takeshi Kawamura, Yoshihiro Ohta, et al.. (2010). Proteomic Analysis of Native Hepatocyte Nuclear Factor-4α (HNF4α) Isoforms, Phosphorylation Status, and Interactive Cofactors. Journal of Biological Chemistry. 286(1). 674–686. 36 indexed citations

16.

Takubo, T, et al.. (2009). Expression of non-muscle type myosin heavy polypeptide 9 (MYH9) in mammalian cells. European Journal of Histochemistry. 47(4). 345–345. 11 indexed citations

17.

Ohguchi, Hiroto, Toshiya Tanaka, Aoi Uchida, et al.. (2008). Hepatocyte Nuclear Factor 4α Contributes to Thyroid Hormone Homeostasis by Cooperatively Regulating the Type 1 Iodothyronine Deiodinase Gene with GATA4 and Krüppel-Like Transcription Factor 9. Molecular and Cellular Biology. 28(12). 3917–3931. 36 indexed citations

18.

Suzuki, N., Kouhei Tsumoto, Nicole Hajicek, et al.. (2008). Activation of Leukemia-associated RhoGEF by Gα13 with Significant Conformational Rearrangements in the Interface. Journal of Biological Chemistry. 284(8). 5000–5009. 23 indexed citations

19.

Daigo, Kenji, Yasuhiro Mochizuki, Hiroko Iwanari, et al.. (2006). A simple hybridoma screening method for high-affinity monoclonal antibodies using the signal ratio obtained from time-resolved fluorescence assay. Analytical Biochemistry. 351(2). 219–228. 19 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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