Hiroko Kodama

3.6k total citations
127 papers, 2.6k citations indexed

About

Hiroko Kodama is a scholar working on Nutrition and Dietetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hiroko Kodama has authored 127 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Nutrition and Dietetics, 42 papers in Molecular Biology and 22 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hiroko Kodama's work include Trace Elements in Health (70 papers), Heavy Metal Exposure and Toxicity (22 papers) and RNA regulation and disease (21 papers). Hiroko Kodama is often cited by papers focused on Trace Elements in Health (70 papers), Heavy Metal Exposure and Toxicity (22 papers) and RNA regulation and disease (21 papers). Hiroko Kodama collaborates with scholars based in Japan, United States and Taiwan. Hiroko Kodama's co-authors include Chie Fujisawa, Yoshiko Murata, Masaaki Kobayashi, Eishin Ogawa, Yan‐Hong Gu, Hiroshi Ushijima, Takahiro Matsuki, T. Hara, Toshiaki Abe and Hiroshi Mori and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hiroko Kodama

124 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroko Kodama Japan 27 1.7k 806 701 383 259 127 2.6k
Frances W.J. Beck United States 28 2.0k 1.2× 548 0.7× 771 1.1× 396 1.0× 272 1.1× 63 3.4k
P J Fraker United States 21 954 0.6× 368 0.5× 483 0.7× 208 0.5× 157 0.6× 29 1.9k
Rajendra Prasad India 28 481 0.3× 568 0.7× 293 0.4× 109 0.3× 116 0.4× 150 2.4k
Inga Weßels Germany 18 1.1k 0.6× 357 0.4× 341 0.5× 162 0.4× 112 0.4× 41 2.0k
Raul A. Wapnir United States 23 764 0.5× 216 0.3× 232 0.3× 130 0.3× 90 0.3× 98 1.6k
B. Sweder van Asbeck Netherlands 33 408 0.2× 632 0.8× 85 0.1× 508 1.3× 147 0.6× 67 2.6k
Joan M. Cook‐Mills United States 34 540 0.3× 1.1k 1.4× 134 0.2× 117 0.3× 170 0.7× 79 3.5k
Bogusław Lipiński United States 32 375 0.2× 568 0.7× 123 0.2× 817 2.1× 133 0.5× 102 3.2k
C Hershko Israel 31 702 0.4× 397 0.5× 110 0.2× 1.5k 3.9× 233 0.9× 92 2.7k
György Balla Hungary 26 359 0.2× 1.5k 1.8× 89 0.1× 409 1.1× 111 0.4× 86 3.3k

Countries citing papers authored by Hiroko Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Kodama. A scholar is included among the top collaborators of Hiroko Kodama 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 Hiroko Kodama. Hiroko Kodama 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.
Asaoka, Daisuke, Tomomi Ishihara, Sachiko Ezoe, et al.. (2024). Randomized, multicenter, active-controlled open-label study of NPC-25, zinc histidine hydrate, (non-inferiority to NOBELZIN™, zinc acetate dihydrate) for patients with hypozincemia. Journal of Trace Elements in Medicine and Biology. 87. 127558–127558.
2.
Isojima, Tsuyoshi, et al.. (2021). Longitudinal Glycaemic Profiles during Remission in 6q24-Related Transient Neonatal Diabetes Mellitus. Hormone Research in Paediatrics. 94(5-6). 229–234. 1 indexed citations
3.
Kodama, Hiroko, Makoto Tanaka, Yuji Naito, Kazuhiro Katayama, & Mitsuhiko Moriyama. (2020). Japan’s Practical Guidelines for Zinc Deficiency with a Particular Focus on Taste Disorders, Inflammatory Bowel Disease, and Liver Cirrhosis. International Journal of Molecular Sciences. 21(8). 2941–2941. 87 indexed citations
4.
Kodama, Hiroko, Hiroshige Itakura, Kinya Sando, et al.. (2018). Practice Guideline for Zinc Deficiency. 40(2). 120–167. 21 indexed citations
5.
Itsumura, Naoya, Kazuhisa Fukue, Kenji Fukushima, et al.. (2016). Novel mutations in SLC30A2 involved in the pathogenesis of transient neonatal zinc deficiency. Pediatric Research. 80(4). 586–594. 34 indexed citations
6.
Nozaki, Satoshi, Takashi Hamazaki, Satoshi Kudo, et al.. (2014). PET Imaging Analysis with 64Cu in Disulfiram Treatment for Aberrant Copper Biodistribution in Menkes Disease Mouse Model. Journal of Nuclear Medicine. 55(5). 845–851. 21 indexed citations
7.
Lee, Tomoko, Mariko Yagi, Tsubasa Koda, et al.. (2014). Standard values for the urine HVA/VMA ratio in neonates as a screen for Menkes disease. Brain and Development. 37(1). 114–119. 14 indexed citations
8.
Gu, Yan‐Hong, et al.. (2014). Lactate and Pyruvate Levels in Blood and Cerebrospinal Fluid in Patients with Menkes Disease. The Journal of Pediatrics. 164(4). 890–894. 7 indexed citations
9.
Itsumura, Naoya, Yasuji Inamo, Fumiko Okazaki, et al.. (2013). Compound Heterozygous Mutations in SLC30A2/ZnT2 Results in Low Milk Zinc Concentrations: A Novel Mechanism for Zinc Deficiency in a Breast-Fed Infant. PLoS ONE. 8(5). e64045–e64045. 75 indexed citations
10.
Kodama, Hiroko, et al.. (2012). Effect of copper and disulfiram combination therapy on the macular mouse, a model of Menkes disease. Journal of Trace Elements in Medicine and Biology. 26(2-3). 105–108. 16 indexed citations
11.
Munakata, Mitsutoshi, Hiroko Kodama, Chie Fujisawa, et al.. (2012). Copper-trafficking efficacy of copper-pyruvaldehyde bis(N4-methylthiosemicarbazone) on the macular mouse, an animal model of Menkes disease. Pediatric Research. 72(3). 270–276. 7 indexed citations
12.
Ozawa, Hiroshi, et al.. (2009). The Symptoms and Treatment of 20 Patients with Menkes Disease in Japan. 113(8). 1234–1237. 2 indexed citations
13.
Fujisawa, Chie, et al.. (2008). The Serum Levels of Calcium and Trace Elements in Low Birth Weight Infants. 19(1). 97–100. 1 indexed citations
14.
Ito, Hiromichi, Kenji Mori, Etsuo Naito, et al.. (2008). Pathophysiology of the transient temporal lobe lesion in a patient with Menkes disease. Pediatrics International. 50(6). 825–827. 11 indexed citations
15.
Kodama, Hiroko, et al.. (2007). Copper Metabolism and Copper Transport Disorders. 18(3). 249–254. 1 indexed citations
16.
Kobayashi, Kenji, Rizky Abdulah, Chie Fujisawa, et al.. (2007). Direct Analysis of Ceruloplasmin in Human Blood Serum by HPLC/Inductively Coupled Plasma-Mass Spectrometry for the Diagnosis of Wilson Disease. 18(1). 91–95. 3 indexed citations
17.
Gu, Yan‐Hong, et al.. (2004). Genotype-Phenotype Analysis of Mutation R778L in the ATP7B Gene. 15(1). 33–36. 2 indexed citations
18.
Gu, Yan‐Hong, et al.. (2002). 症例報告 Long-term Treatment with High-dose Zinc Sulphate in 36 Children with Wilson's Disease. 13(1). 85–88. 3 indexed citations
19.
Komatsu, Haruki, Tomoo Fujisawa, Ayano Inui, et al.. (2002). Hepatic copper concentration in children undergoing living related liver transplantation due to Wilsonian fulminant hepatic failure. Clinical Transplantation. 16(3). 227–232. 22 indexed citations
20.
Matsuda, Ichiro, et al.. (1984). Biochemical heterogeneity of ornithine carbamoyl transferase(OCT) in patients with OCT deficiency. The Japanese Journal of Human Genetics. 29(3). 327–333. 11 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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