Sean D. Kodani
- Biochemistry top 0.5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pharmacology top 10%
- Co-authors
- Bruce D. HammockChristophe MorisseauGuodong ZhangLing ZhaoJun YangHua DongTodd R. HarrisKin Sing Stephen Lee
- Topics
- Eicosanoids and Hypertension Pharmacology (21 papers)Alcohol Consumption and Health Effects (10 papers)Adipose Tissue and Metabolism (7 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAnalytical BiochemistryInternational Journal of Molecular Sciences
- Partner nations
- United StatesBrazilRussia
In The Last Decade
Sean D. Kodani
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Biochemistry 556
- Molecular Biology 241
- Pathology and Forensic Medicine 190
- Endocrinology, Diabetes and Metabolism 175
- Pharmacology 132
Countries citing papers authored by Sean D. Kodani
This map shows the geographic impact of Sean D. Kodani'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 Sean D. Kodani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean D. Kodani more than expected).
Fields of papers citing papers by Sean D. Kodani
This network shows the impact of papers produced by Sean D. Kodani. 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 Sean D. Kodani. The network helps show where Sean D. Kodani may publish in the future.
Co-authorship network of co-authors of Sean D. Kodani
This figure shows the co-authorship network connecting the top 25 collaborators of Sean D. Kodani. A scholar is included among the top collaborators of Sean D. Kodani 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 Sean D. Kodani. Sean D. Kodani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 16 | |
| 5 | 8 | |
| 6 | 50 | |
| 7 | 22 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | 20 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | 37 | |
| 14 | 18 | |
| 15 | 62 | |
| 16 | 71 | |
| 17 | 34 | |
| 18 | 17 | |
| 19 | 58 | |
| 20 | 132 |
About Sean D. Kodani
Sean D. Kodani is a scholar working on Biochemistry, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (21 papers), Alcohol Consumption and Health Effects (10 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Biochemistry (556 citations), Pharmacology (118 citations) and Pathology and Forensic Medicine (190 citations). Sean D. Kodani has collaborated with scholars based in United States, Brazil and Russia. Frequent co-authors include Bruce D. Hammock, Christophe Morisseau, Guodong Zhang, Ling Zhao, Jun Yang, Hua Dong, Todd R. Harris, Kin Sing Stephen Lee, Jackie Chan and Donald S. Anderson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Analytical Biochemistry and International Journal of Molecular Sciences.
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.