Akiko Tsunemi
- Co-authors
- Noboru FukudaTarô MatsumotoTakahiro UenoKoichí MatsumotoMasayoshi SomaEn‐Hui YaoRyo SuzukiMasanori Abe
- Topics
- Renal and related cancers (5 papers)Liver Disease Diagnosis and Treatment (3 papers)Iron Metabolism and Disorders (3 papers)
- Cited by
- Endocrine and Autonomic SystemsClinical BiochemistryCritical Care and Intensive Care Medicine
- Partner nations
- JapanUnited States
In The Last Decade
Akiko Tsunemi
26 papers receiving 448 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 199
- Physiology 89
- Cardiology and Cardiovascular Medicine 67
- Immunology 56
- Pharmacology 51
Countries citing papers authored by Akiko Tsunemi
This map shows the geographic impact of Akiko Tsunemi'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 Akiko Tsunemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Tsunemi more than expected).
Fields of papers citing papers by Akiko Tsunemi
This network shows the impact of papers produced by Akiko Tsunemi. 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 Akiko Tsunemi. The network helps show where Akiko Tsunemi may publish in the future.
Co-authorship network of co-authors of Akiko Tsunemi
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tsunemi. A scholar is included among the top collaborators of Akiko Tsunemi 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 Akiko Tsunemi. Akiko Tsunemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 35 | |
| 12 | 32 | |
| 13 | 15 | |
| 14 | 72 | |
| 15 | Influence of genetic polymorphisms in oxidative stress related genes and smoking on plasma MDA-LDL, soluble CD40 ligand, E-selectin and soluble ICAM1 levels in patients with coronary artery disease. | 10 |
| 16 | 20 | |
| 17 | 78 | |
| 18 | OE-275 ARB Improved the Attenuated Endothelial Progenitor Cells (EPCs) Function in Hypertensive Rats(Hypertension, basic-1 (H) OE46,Oral Presentation (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 19 | 15 | |
| 20 | Paraoxonase1 polymorphism Leu-Met55 is associated with cerebral infarction in Japanese population. | 31 |
About Akiko Tsunemi
Akiko Tsunemi is a scholar working on Aging, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 28 papers that have together received 457 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Liver Disease Diagnosis and Treatment (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (32 citations), Clinical Biochemistry (29 citations) and Critical Care and Intensive Care Medicine (22 citations). Akiko Tsunemi has collaborated with scholars based in Japan and United States. Frequent co-authors include Noboru Fukuda, Tarô Matsumoto, Takahiro Ueno, Koichí Matsumoto, Masayoshi Soma, En‐Hui Yao, Ryo Suzuki, Masanori Abe, Tomohiko Kazama and Yuji Iribe. Their work appears in journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research Communications.
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.