Naomi Kondo

10.7k total citations
340 papers, 7.3k citations indexed

About

Naomi Kondo is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Naomi Kondo has authored 340 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Molecular Biology, 97 papers in Physiology and 68 papers in Immunology. Recurrent topics in Naomi Kondo's work include Peroxisome Proliferator-Activated Receptors (56 papers), Metabolism and Genetic Disorders (52 papers) and Asthma and respiratory diseases (37 papers). Naomi Kondo is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (56 papers), Metabolism and Genetic Disorders (52 papers) and Asthma and respiratory diseases (37 papers). Naomi Kondo collaborates with scholars based in Japan, United States and Netherlands. Naomi Kondo's co-authors include Nobuyuki Shimozawa, Toshiyuki Fukao, Yasuyuki Suzuki, Tadao Orii, Zenichiro Kato, Hideo Kaneko, Yukio Fujiki, Kenji E. Orii, Hidenori Ohnishi and Ronald J. A. Wanders and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Naomi Kondo

336 papers receiving 7.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Kondo Japan 43 3.6k 1.8k 1.4k 938 908 340 7.3k
Carolyn L. Geczy Australia 53 4.7k 1.3× 937 0.5× 3.7k 2.7× 485 0.5× 799 0.9× 176 8.6k
Hugh R. Brady Ireland 50 3.0k 0.8× 763 0.4× 2.3k 1.6× 264 0.3× 455 0.5× 125 7.9k
L.A.H. Monnens Netherlands 48 3.7k 1.0× 678 0.4× 1.1k 0.8× 600 0.6× 296 0.3× 275 8.7k
Lambertus P. van den Heuvel Netherlands 54 4.3k 1.2× 656 0.4× 1.4k 1.0× 1.3k 1.4× 346 0.4× 257 10.3k
Paul J. Higgins United States 45 4.0k 1.1× 723 0.4× 1.1k 0.8× 367 0.4× 447 0.5× 226 8.5k
Toshiyuki Fukao Japan 41 3.0k 0.8× 2.4k 1.3× 448 0.3× 1.8k 1.9× 719 0.8× 307 6.3k
Frederick C. de Beer United States 52 3.7k 1.0× 1.1k 0.6× 1.5k 1.1× 527 0.6× 1.6k 1.8× 131 8.3k
P Verroust France 55 3.5k 1.0× 895 0.5× 1.1k 0.8× 250 0.3× 301 0.3× 163 8.5k
Belinda Willard United States 46 3.3k 0.9× 700 0.4× 854 0.6× 224 0.2× 594 0.7× 189 6.3k
Yasuaki Aratani Japan 30 1.6k 0.4× 1.1k 0.6× 2.0k 1.4× 176 0.2× 456 0.5× 70 5.6k

Countries citing papers authored by Naomi Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Kondo. A scholar is included among the top collaborators of Naomi Kondo 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 Naomi Kondo. Naomi Kondo 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.
Kato, Zenichiro, Hideo Sasai, Michinori Funato, Takahiko Asano, & Naomi Kondo. (2011). Acute cerebellitis associated with rotavirus infection. World Journal of Pediatrics. 9(1). 87–89. 12 indexed citations
2.
Okumura, Akihisa, Satoshi Nakagawa, Hisashi Kawashima, et al.. (2011). Deaths Associated with Pandemic (H1N1) 2009 among Children, Japan, 2009–2010. Emerging infectious diseases. 17(11). 1993–2000. 9 indexed citations
3.
Funato, Michinori, Toshiyuki Fukao, Hideo Sasai, et al.. (2011). Successful treatment of pediatric immune thrombocytopenic purpura associated with ulcerative colitis. Pediatrics International. 53(5). 771–773. 5 indexed citations
4.
Ohnishi, Hidenori, Hidehito Tochio, Zenichiro Kato, et al.. (2010). 1H, 13C, and 15N resonance assignment of the TIR domain of human MyD88. Biomolecular NMR Assignments. 4(2). 123–125. 4 indexed citations
5.
Morimoto, Masahiro, Eiko Matsui, Norio Kawamoto, et al.. (2009). Age-Related Changes of Transforming Growth Factor β1 in Japanese Children. Allergology International. 58(1). 97–102. 3 indexed citations
6.
Kondo, Naomi. (2008). Mental illness in film.. Psychiatric Rehabilitation Journal. 31(3). 250–252. 7 indexed citations
7.
Nishima, Sankei, Akira Akasawa, Motohiro Ebisawa, et al.. (2008). . Nihon Shoni Arerugi Gakkaishi The Japanese Journal of Pediatric Allergy and Clinical Immunology. 22(1). 116–128. 2 indexed citations
8.
Taneichi, Hiromichi, Hirokazu Kanegane, Mostafa Mohamed Sıra, et al.. (2007). Toll-like receptor signaling is impaired in dendritic cells from patients with X-linked agammaglobulinemia. Clinical Immunology. 126(2). 148–154. 57 indexed citations
10.
Orii, Koji, Jeffrey H. Grubb, Carole Vogler, et al.. (2005). Defining the Pathway for Tat-mediated Delivery of β-Glucuronidase in Cultured Cells and MPS VII Mice. Molecular Therapy. 12(2). 345–352. 36 indexed citations
11.
Matsumoto, Naomi, Shigehiko Tamura, Non Miyata, et al.. (2003). Mutations in Novel Peroxin Gene PEX26 That Cause Peroxisome-Biogenesis Disorders of Complementation Group 8 Provide a Genotype-Phenotype Correlation. The American Journal of Human Genetics. 73(2). 233–246. 67 indexed citations
12.
Kondo, Naomi. (2003). . Nihon Shoni Arerugi Gakkaishi The Japanese Journal of Pediatric Allergy and Clinical Immunology. 17(2). 155–162.
13.
Fukao, Toshiyuki, Masahiko Kimura, Atsushi Uchiyama, et al.. (2002). Identification and Characterization of Temperature-Sensitive Mild Mutations in Three Japanese Patients with Nonsevere Forms of Very-Long-Chain Acyl-CoA Dehydrogenase Deficiency. Molecular Genetics and Metabolism. 75(3). 227–234. 14 indexed citations
14.
Kaneko, Hideo, et al.. (2002). Detection of the genes induced in activated lymphocytes by modified differential display.. PubMed. 12(2). 86–90. 6 indexed citations
15.
Inoue, Ryosuke, Toshiyuki Fukao, Hideo Kaneko, et al.. (1998). Ataxia Telangiectasia Associated with B-Cell Lymphoma: The Effect of a Half-Dose of the Drugs Administered According to the Acute Lymphoblastic Leukemia Standard Risk Protocol. Pediatric Hematology and Oncology. 15(5). 425–429. 8 indexed citations
16.
Inoue, Ryosuke, et al.. (1998). Severe Complications of Folk Remedies for Atopic Dermatitis. Pediatric Asthma Allergy & Immunology. 12(3). 207–212. 1 indexed citations
17.
Kondo, Naomi, Takashi Nishida, Shinji Shinoda, et al.. (1998). Cord Blood Lymphocyte Responses to Antigens for the Prediction of Allergy. Pediatric Asthma Allergy & Immunology. 12(1). 61–66. 3 indexed citations
18.
Mizuno, Shinji, et al.. (1998). Evaluation of Regional Cerebral Blood Flow Changes in Normal Aging Using 99mTc-ECD SPECT and Patlak Method.. RADIOISOTOPES. 47(5). 392–398. 1 indexed citations
20.
Kondo, Naomi, Fumiaki Motoyoshi, Seiji Mori, et al.. (1992). Long‐term study of the immunodeficiency of Bloom's syndrome. Acta Paediatrica. 81(1). 86–90. 28 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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