Ide T
- Physiology top 5%
- Molecular Biology
- Oncology
- Genetics
- Biotechnology top 10%
- Co-authors
- Hidetoshi TaharaHiroshi YamamotoTadashi UtakojiS YasumotoKeiji KikuchiH. OhjiAsao NodaEimei Sato
- Topics
- Liver Disease Diagnosis and Treatment (2 papers)Telomeres, Telomerase, and Senescence (2 papers)Cardiac, Anesthesia and Surgical Outcomes (1 paper)
- Cited by
- AgingPhysiologyBiotechnology
- Partner nations
- Japan
In The Last Decade
Ide T
14 papers receiving 641 citations
Peers
Comparison fields: 5 of 63
- Physiology 380
- Molecular Biology 279
- Oncology 112
- Genetics 96
- Biotechnology 91
Countries citing papers authored by Ide T
This map shows the geographic impact of Ide T'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 Ide T with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ide T more than expected).
Fields of papers citing papers by Ide T
This network shows the impact of papers produced by Ide T. 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 Ide T. The network helps show where Ide T may publish in the future.
Co-authorship network of co-authors of Ide T
This figure shows the co-authorship network connecting the top 25 collaborators of Ide T. A scholar is included among the top collaborators of Ide T 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 Ide T. Ide T 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 | 27 | |
| 3 | 52 | |
| 4 | Telomerase activity in normal human epithelial cells. | 212 |
| 5 | Telomerase in hepatocellular carcinogenesis. | 9 |
| 6 | Increase in expression level of p21sdi1/cip1/waf1 with increasing division age in both normal and SV40-transformed human fibroblasts. | 96 |
| 7 | Telomerase activity in preneoplastic and neoplastic gastric and colorectal lesions. | 164 |
| 8 | 3 | |
| 9 | [Cell culture and its application proliferative life span and immortalization of cultured human cells]. | 1 |
| 10 | 48 | |
| 11 | Effects of sevoflurane and enflurane on contractility of canine diaphragm. | 1 |
| 12 | [A case of kohyamaki pollinosis]. | 1 |
| 13 | [Animal cell cycle--G0 state]. | 1 |
| 14 | [Surgical procedures in orthopedic surgery and operative nursing care]. | 1 |
| 15 | 43 |
About Ide T
Ide T is a scholar working on Critical Care and Intensive Care Medicine, Endocrine and Autonomic Systems and Hepatology, having authored 15 papers that have together received 659 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Aging (27 citations), Physiology (380 citations) and Biotechnology (91 citations). Ide T has collaborated with scholars based in Japan. Frequent co-authors include Hidetoshi Tahara, Hiroshi Yamamoto, Tadashi Utakoji, S Yasumoto, Keiji Kikuchi, H. Ohji, Asao Noda, Eimei Sato, Wataru Yasui and J W Shay. Their work appears in journals such as The Journal of Immunology, Hepatology and American Journal of Physiology-Legacy Content.
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.