Kouju Kamata

721 total citations
65 papers, 559 citations indexed

About

Kouju Kamata is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Kouju Kamata has authored 65 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Nephrology, 16 papers in Molecular Biology and 16 papers in Immunology. Recurrent topics in Kouju Kamata's work include Renal Diseases and Glomerulopathies (20 papers), Complement system in diseases (8 papers) and Phytochemical Studies and Bioactivities (8 papers). Kouju Kamata is often cited by papers focused on Renal Diseases and Glomerulopathies (20 papers), Complement system in diseases (8 papers) and Phytochemical Studies and Bioactivities (8 papers). Kouju Kamata collaborates with scholars based in Japan, Netherlands and United Kingdom. Kouju Kamata's co-authors include Michihito Okubo, Yutaka Kobayashi, Y Masaki, Fumiaki Marumo, Takehiko Uchiyama, L G Baird, Yasuo Takeuchi, A. Bernard Collins, Robert T. McCluskey and Hidekazu Shigematsu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Kidney International.

In The Last Decade

Kouju Kamata

58 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kouju Kamata Japan 16 275 110 107 100 81 65 559
Sekiko Taneda Japan 14 346 1.3× 101 0.9× 196 1.8× 76 0.8× 85 1.0× 52 692
Anita W.L. Tsang Hong Kong 14 431 1.6× 72 0.7× 171 1.6× 155 1.6× 81 1.0× 16 641
O. Bogenschütz Germany 7 451 1.6× 145 1.3× 152 1.4× 99 1.0× 73 0.9× 11 717
Job D. Elema Netherlands 10 218 0.8× 156 1.4× 91 0.9× 66 0.7× 57 0.7× 14 512
Zofia I Niemir Poland 13 322 1.2× 89 0.8× 167 1.6× 232 2.3× 76 0.9× 50 750
Sunao Maki Japan 13 456 1.7× 108 1.0× 131 1.2× 141 1.4× 96 1.2× 30 785
C. Bätz Germany 6 552 2.0× 184 1.7× 160 1.5× 95 0.9× 127 1.6× 7 821
Yasuhito Suzuki Japan 13 168 0.6× 140 1.3× 155 1.4× 89 0.9× 47 0.6× 46 627
R. Riess Germany 12 233 0.8× 153 1.4× 203 1.9× 127 1.3× 114 1.4× 22 705
Irene Stachura United States 14 263 1.0× 136 1.2× 132 1.2× 107 1.1× 76 0.9× 31 673

Countries citing papers authored by Kouju Kamata

Since Specialization
Citations

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

Fields of papers citing papers by Kouju Kamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kouju Kamata

This figure shows the co-authorship network connecting the top 25 collaborators of Kouju Kamata. A scholar is included among the top collaborators of Kouju Kamata 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 Kouju Kamata. Kouju Kamata 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.
Amano, Hideki, Yoshiya Ito, Tomoe Fujita, et al.. (2019). Role of the high-affinity leukotriene B4 receptor signaling in fibrosis after unilateral ureteral obstruction in mice. PLoS ONE. 14(2). e0202842–e0202842. 11 indexed citations
2.
Takeuchi, Kazuhiro, et al.. (2017). New Anti-Nephrin Antibody Mediated Podocyte Injury Model Using a C57BL/6 Mouse Strain. ˜The œNephron journals/Nephron journals. 138(1). 71–87. 22 indexed citations
3.
Kamata, Kouju, et al.. (2015). A new mouse experimental model of focal segmental glomerulosclerosis produced by the administration of polyclonal anti-mouse nephrin antibody. 45(1). 29–37. 1 indexed citations
4.
Oshikawa, Jin, Yoshiyuki Toya, Satoshi Morita, et al.. (2013). Angiotensin receptor blocker (ARB)–diuretic versus ARB–calcium channel blocker combination therapy for hypertension uncontrolled by ARB monotherapy. Clinical and Experimental Hypertension. 36(4). 244–250. 10 indexed citations
5.
6.
Hayashi, Miyuki, et al.. (2012). [A case of anti-neutrophil cytoplasmic antibody (ANCA)-negative necrotizing glomerulonephritis (GN) superimposed on mixed connective tissue disease (MCTD)].. PubMed. 54(4). 556–60. 1 indexed citations
7.
Kamata, Kouju, et al.. (2011). Passive Heymann nephritis induced by genetic immunization using megalin cDNA fragments. 41(1). 69–75. 1 indexed citations
8.
Kamata, Kouju, et al.. (2011). Nephrin signal peptide sequence cDNA in expression vector determines antibody characteristics reacting on native or glycosylation-disturbed nephrin protein in genetic immunization. 41(1). 31–41. 2 indexed citations
9.
Okamoto, Tomoko, et al.. (2011). Injection of rabbit polyclonal antibodies induced by genetic immunization with rat nephrin cDNA causes massive proteinuria in the rat: a new model of nephrotic syndrome. 41(2). 115–122. 2 indexed citations
10.
Kamata, Kouju. (2011). [Pathogenic mechanism of membranous glomerulonephritis obtained from Heymann nephritis and human membranous glomerulonephritis].. PubMed. 53(5). 672–6. 1 indexed citations
11.
Iwase, Hitoo, Akihiko Itoh, Ikuko Nakamura, et al.. (2003). Compositional similarity between immunoglobulins binding to asialo-, agalacto-IgA1-Sepharose and those deposited in glomeruli in IgA nephropathy. Journal of Nephrology. 17(5). 679–686. 7 indexed citations
12.
Kamata, Kouju, et al.. (2002). Nomogram for individualizing supplementary iron doses during erythropoietin therapy in haemodialysis patients. Journal of Clinical Pharmacy and Therapeutics. 27(2). 111–119. 2 indexed citations
13.
Ito, Koichi, Yasuo Takeuchi, Hiroshi Tatsumi, et al.. (2001). An Experimental Renal Disease Induced by the Genetic Immunization of Alpha-2 Macroglobulin Receptor-Associated Protein cDNA. 31(5). 302–308. 1 indexed citations
14.
15.
Okubo, Michihito, et al.. (1989). Subacute toxicity of (-)15-deoxyspergualin in BALB/c mice. I. Hematological study.. The Journal of Toxicological Sciences. 14(4). 237–245. 1 indexed citations
16.
Inoue, Keiichi, et al.. (1989). Subacute toxicity of (-)15-deoxyspergualin in BALB/c mice. II. Histopathological study.. The Journal of Toxicological Sciences. 14(4). 247–255. 1 indexed citations
17.
Okubo, Michihito, Keiichi Inoue, Naoyuki Sato, et al.. (1988). Lupus nephropathy in New Zealand F1 hybrid mice treated by (-)15-deoxyspergualin. Kidney International. 34(4). 467–473. 16 indexed citations
18.
Marumo, Fumiaki, Kouju Kamata, & Michihito Okubo. (1986). Deranged Concentrations of Water-Soluble Vitamins in the Blood of Undialyzed and Dialyzed Patients with Chronic Renal Failure. The International Journal of Artificial Organs. 9(1). 17–24. 24 indexed citations
19.
Kamata, Kouju, et al.. (1980). Effect of Bredinin on cellular and humoral immune responses and on canine kidney allograft survival.. PubMed. 12(3). 515–9. 6 indexed citations
20.
Kamata, Kouju, Michihito Okubo, & Fumiaki Marumo. (1979). Water soluble vitamins in patients with chronic renal failure and effect of B6 administration of immunological activity.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9. 194–6. 1 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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