Eiko Hayashi
- Molecular Biology
- Oncology
- Pathology and Forensic Medicine
- Immunology
- Pulmonary and Respiratory Medicine
- Co-authors
- Haruya SatoYoshiyuki TakaharaXiulian ZhangYasuhiro KuramitsuKazuyuki NakamuraNaoyuki YamadaMasanori FujimotoYoshiya Ueyama
- Topics
- Lymphoma Diagnosis and Treatment (6 papers)Blood properties and coagulation (3 papers)Advanced Proteomics Techniques and Applications (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Eiko Hayashi
22 papers receiving 360 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 179
- Oncology 77
- Pathology and Forensic Medicine 66
- Immunology 48
- Pulmonary and Respiratory Medicine 41
Countries citing papers authored by Eiko Hayashi
This map shows the geographic impact of Eiko Hayashi'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 Eiko Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Hayashi more than expected).
Fields of papers citing papers by Eiko Hayashi
This network shows the impact of papers produced by Eiko Hayashi. 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 Eiko Hayashi. The network helps show where Eiko Hayashi may publish in the future.
Co-authorship network of co-authors of Eiko Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Eiko Hayashi. A scholar is included among the top collaborators of Eiko Hayashi 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 Eiko Hayashi. Eiko Hayashi 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 | 2 | |
| 5 | 47 | |
| 6 | 13 | |
| 7 | Staining with highly sensitive Coomassie brilliant blue SeePico™ Stain after Flamingo™ fluorescent gel stain is useful for cancer proteomic analysis by means of two-dimensional gel electrophoresis. | 6 |
| 8 | Proteomic analysis for nuclear proteins related to tumour malignant progression: a comparative proteomic study between malignant progressive cells and regressive cells. | 24 |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 57 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 76 | |
| 20 | 16 |
About Eiko Hayashi
Eiko Hayashi is a scholar working on Pathology and Forensic Medicine, Immunology and Biotechnology, having authored 22 papers that have together received 365 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Blood properties and coagulation (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Gastroenterology (25 citations), Pathology and Forensic Medicine (66 citations) and Biotechnology (31 citations). Eiko Hayashi has collaborated with scholars based in Japan and United States. Frequent co-authors include Haruya Sato, Yoshiyuki Takahara, Xiulian Zhang, Yasuhiro Kuramitsu, Kazuyuki Nakamura, Naoyuki Yamada, Masanori Fujimoto, Yoshiya Ueyama, Futoshi Okada and Norio Iizuka. Their work appears in journals such as Pharmaceutical Research, Journal of Clinical Pathology and Bioconjugate Chemistry.
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.