Hiroko Kodama

124 papers receiving 2.6k citations

Peers

Hiroko Kodama
Comparison fields: 5 of 128
  • Nutrition and Dietetics 1.6k
  • Health, Toxicology and Mutagenesis 612
  • Hematology 333
  • Clinical Biochemistry 120
  • Molecular Biology 719
Replace Frances W.J. Beck with:
Frances W.J. Beck United States
Bogusław Lipiński United States
Jacqueline M. O’Connor United Kingdom
Andréa Name Colado Simão Brazil
Rajendra Prasad India
D R Blake United Kingdom
György Balla Hungary
Denis O. Rodgerson United States
B. Sweder van Asbeck Netherlands
José Luis Fernández Martín Spain
Hiroko Kodama relative to Frances W.J. Beck United States Frances W.J. Beck's profile →
Citations per field
00.5×4.1×
Frances W.J. Beck · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hiroko Kodama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroko Kodama Line = papers co-authored together Hiroko Kodama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016275
2 2012139
3 2002100
4 202090
5 199987
6 200084
7 201375
8 199972
9 199769
10 200369
11 200867
12 200166
13 199354
14 199150
15 199150
16 199345
17 201045
18 201643
19 199542
20 200441

About Hiroko Kodama

Hiroko Kodama is a scholar working on Nutrition and Dietetics, Molecular Biology, Clinical Biochemistry, Health, Toxicology and Mutagenesis and Hematology, having authored 128 papers that have together received 2.6k indexed citations. Recurring topics across this work include Trace Elements in Health (68 papers), Metabolism and Genetic Disorders (18 papers), Heavy Metal Exposure and Toxicity (15 papers), RNA regulation and disease (15 papers), Iron Metabolism and Disorders (13 papers), Aluminum toxicity and tolerance in plants and animals (10 papers), Amino Acid Enzymes and Metabolism (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Nutrition and Dietetics (1.6k citations), Health, Toxicology and Mutagenesis (612 citations), Hematology (333 citations), Clinical Biochemistry (120 citations) and Molecular Biology (719 citations). Hiroko Kodama has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Chie Fujisawa, Yoshiko Murata, M. Kobayashi, Eishin Ogawa, Yan‐Hong Gu, Hiroshi Ushijima, T. Hara, Takahiro Matsuki, Toshiaki Abe and Kazuya Yamamoto. Their work appears in journals such as Journal of Inherited Metabolic Disease, Brain and Development, Journal of Trace Elements in Medicine and Biology, Pediatric Research and European Journal of Pediatrics.

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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