Denise D. Tsao‐Wei
- Oncology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Susan GroshenJan StoehlmacherPeter V. DanenbergJan BrabenderKathleen D. DanenbergHeinz‐Josef LenzYoshinori ShirotaHiroyuki Uetake
- Topics
- Colorectal Cancer Treatments and Studies (3 papers)Genetic factors in colorectal cancer (3 papers)Thyroid Cancer Diagnosis and Treatment (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Denise D. Tsao‐Wei
7 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 817
- Molecular Biology 558
- Pathology and Forensic Medicine 329
- Pulmonary and Respiratory Medicine 265
- Surgery 255
Countries citing papers authored by Denise D. Tsao‐Wei
This map shows the geographic impact of Denise D. Tsao‐Wei'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 Denise D. Tsao‐Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise D. Tsao‐Wei more than expected).
Fields of papers citing papers by Denise D. Tsao‐Wei
This network shows the impact of papers produced by Denise D. Tsao‐Wei. 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 Denise D. Tsao‐Wei. The network helps show where Denise D. Tsao‐Wei may publish in the future.
Co-authorship network of co-authors of Denise D. Tsao‐Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Denise D. Tsao‐Wei. A scholar is included among the top collaborators of Denise D. Tsao‐Wei 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 Denise D. Tsao‐Wei. Denise D. Tsao‐Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Quantitative O(6)-methylguanine DNA methyltransferase methylation analysis in curatively resected non-small cell lung cancer: associations with clinical outcome. | 86 |
| 3 | 455 | |
| 4 | A polymorphism of the XRCC1 gene predicts for response to platinum based treatment in advanced colorectal cancer. | 136 |
| 5 | ERCC1 and Thymidylate Synthase mRNA Levels Predict Survival for Colorectal Cancer Patients Receiving Combination Oxaliplatin and Fluorouracil Chemotherapybreakdown → | 511 |
| 6 | 3 | |
| 7 | 158 |
About Denise D. Tsao‐Wei
Denise D. Tsao‐Wei is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (3 papers), Genetic factors in colorectal cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (817 citations), Pathology and Forensic Medicine (329 citations) and Pharmacology (109 citations). Denise D. Tsao‐Wei has collaborated with scholars based in United States and Germany. Frequent co-authors include Susan Groshen, Jan Stoehlmacher, Peter V. Danenberg, Jan Brabender, Kathleen D. Danenberg, Heinz‐Josef Lenz, Yoshinori Shirota, Hiroyuki Uetake, Sheeja T. Pullarkat and Sue A. Ingles. Their work appears in journals such as Journal of Clinical Oncology, Cancer and The Pharmacogenomics Journal.
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.