Noboru Saotome

402 total citations
8 papers, 339 citations indexed

About

Noboru Saotome is a scholar working on Nephrology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Noboru Saotome has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Noboru Saotome's work include Chronic Kidney Disease and Diabetes (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Advanced Glycation End Products research (2 papers). Noboru Saotome is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Advanced Glycation End Products research (2 papers). Noboru Saotome collaborates with scholars based in Japan. Noboru Saotome's co-authors include Hideto Sakai, Mitsunori Yagame, Kiyoshi Kurokawa, Toshio Miyata, Reiko Inagi, Daisuke Suzuki, Yuko Izuhara, Katsunori Horie, Yoshinari Yasuda and Kôji Uchida and has published in prestigious journals such as Journal of the American Society of Nephrology, Nephrology and Journal of Clinical Laboratory Analysis.

In The Last Decade

Noboru Saotome

8 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noboru Saotome Japan 6 151 140 83 73 45 8 339
Ryo Nagase Japan 8 205 1.4× 142 1.0× 86 1.0× 193 2.6× 32 0.7× 10 530
Kosuke Yozai Japan 6 140 0.9× 106 0.8× 73 0.9× 143 2.0× 32 0.7× 6 387
Y. Izuhara Japan 4 111 0.7× 175 1.3× 72 0.9× 71 1.0× 57 1.3× 6 343
Jin Ji Li China 10 157 1.0× 52 0.4× 65 0.8× 151 2.1× 26 0.6× 12 377
Giovanna Oddi Italy 8 131 0.9× 114 0.8× 60 0.7× 258 3.5× 44 1.0× 9 530
Nicolas Godin Canada 7 122 0.8× 63 0.5× 74 0.9× 185 2.5× 39 0.9× 8 437
Yuichi Kido Japan 3 143 0.9× 105 0.8× 51 0.6× 124 1.7× 22 0.5× 4 350
Tae Niwa Japan 10 131 0.9× 60 0.4× 63 0.8× 188 2.6× 23 0.5× 16 471
Noriyuki Tatemichi Japan 11 111 0.7× 368 2.6× 168 2.0× 137 1.9× 108 2.4× 18 573
Beverley A. Millward United Kingdom 10 52 0.3× 90 0.6× 73 0.9× 98 1.3× 28 0.6× 14 340

Countries citing papers authored by Noboru Saotome

Since Specialization
Citations

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

Fields of papers citing papers by Noboru Saotome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noboru Saotome

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

All Works

8 of 8 papers shown
1.
Suzuki, Daisuke, Toshio Miyata, Masaomi Nangaku, et al.. (1999). Expression of Megsin mRNA, a Novel Mesangium-Predominant Gene, in the Renal Tissues of Various Glomerular Diseases. Journal of the American Society of Nephrology. 10(12). 2606–2613. 40 indexed citations
2.
Suzuki, Daisuke, Toshio Miyata, Noboru Saotome, et al.. (1999). Immunohistochemical Evidence for an Increased Oxidative Stress and Carbonyl Modification of Proteins in Diabetic Glomerular Lesions. Journal of the American Society of Nephrology. 10(4). 822–832. 211 indexed citations
3.
Iijima, Toshihiko, Shigenobu Suzuki, Keiko Sekizuka, et al.. (1998). Follow-up study on urinary type IV collagen in patients with early stage diabetic nephropathy. Journal of Clinical Laboratory Analysis. 12(6). 378–382. 30 indexed citations
4.
Yagame, Mitsunori, Kiichiro Jinde, Daisuke Suzuki, et al.. (1997). A Diabetic Case with Hemoglobin J-Meerut and Low HbA1C Levels.. Internal Medicine. 36(5). 351–356. 19 indexed citations
5.
Sakai, Hideto, Kiichiro Jinde, Noboru Saotome, et al.. (1997). Activation of mRNA expression of collagen, collagenase and its inhibitor on renal biopsy specimens in patients with IgA nephropathy. Nephrology. 3(1). 91–94. 1 indexed citations
6.
Yagame, Mitsunori, Daisuke Suzuki, Kiichiro Jinde, et al.. (1997). Significance of urinary type IV collagen in patients with diabetic nephropathy using a highly sensitive one‐step sandwich enzyme immunoassay. Journal of Clinical Laboratory Analysis. 11(2). 110–116. 2 indexed citations
7.
Yagame, Mitsunori, Daisuke Suzuki, Kiichiro Jinde, et al.. (1997). Significance of urinary type IV collagen in patients with diabetic nephropathy using a highly sensitive one-step sandwich enzyme immunoassay. Journal of Clinical Laboratory Analysis. 11(2). 110–116. 26 indexed citations
8.
Yagame, Mitsunori, Daisuke Suzuki, Kiichiro Jinde, et al.. (1996). Value of pathological grading in prediction of renal survival in IgA nephropathy. Nephrology. 2(2). 107–117. 10 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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