T Nishihira
- Molecular Biology top 10%
- Surgery top 5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Shozo MoriKatsu HirayamaTakahiro MoriYusuke NakamuraShunsuke MoriT AokiKoh MiuraHironobu Sasano
- Topics
- Esophageal Cancer Research and Treatment (25 papers)Lung Cancer Treatments and Mutations (12 papers)Cancer Research and Treatments (11 papers)
- Journals
- CancerCancer ResearchOncogene
- Partner nations
- JapanUnited KingdomNetherlands
In The Last Decade
T Nishihira
88 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 727
- Surgery 647
- Oncology 570
- Pulmonary and Respiratory Medicine 492
- Pathology and Forensic Medicine 207
Countries citing papers authored by T Nishihira
This map shows the geographic impact of T Nishihira'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 T Nishihira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nishihira more than expected).
Fields of papers citing papers by T Nishihira
This network shows the impact of papers produced by T Nishihira. 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 T Nishihira. The network helps show where T Nishihira may publish in the future.
Co-authorship network of co-authors of T Nishihira
This figure shows the co-authorship network connecting the top 25 collaborators of T Nishihira. A scholar is included among the top collaborators of T Nishihira 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 T Nishihira. T Nishihira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 58 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 42 | |
| 13 | Expression of c-erbB-2 in human esophageal carcinoma cells: overexpression correlated with gene amplification or with GATA-3 transcription factor expression. | 24 |
| 14 | 33 | |
| 15 | Clinical evaluation of CA72-4 immunoradiometric assay for serum TAG-72 antigen in patients with carcinoma | 15 |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | Characteristics of two cell lines (TE-1 and TE-2) derived from human squamous cell carcinoma of the esophagus. | 69 |
About T Nishihira
T Nishihira is a scholar working on Biotechnology, Oncology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (25 papers), Lung Cancer Treatments and Mutations (12 papers) and Cancer Research and Treatments (11 papers). The work is most often cited by research in Oncology (570 citations), Pulmonary and Respiratory Medicine (492 citations) and Surgery (647 citations). T Nishihira has collaborated with scholars based in Japan, United Kingdom and Netherlands. Frequent co-authors include Shozo Mori, Katsu Hirayama, Takahiro Mori, Yusuke Nakamura, Shunsuke Mori, T Aoki, Koh Miura, Hironobu Sasano, Ryuzaburo Shineha and Hiroshi Nagura. Their work appears in journals such as Cancer, Cancer Research and Oncogene.
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.