Denise D. Tsao‐Wei

1.6k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Denise D. Tsao‐Wei is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Denise D. Tsao‐Wei has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Denise D. Tsao‐Wei's work include Colorectal Cancer Treatments and Studies (3 papers), Genetic factors in colorectal cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Denise D. Tsao‐Wei is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Genetic factors in colorectal cancer (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Denise D. Tsao‐Wei collaborates with scholars based in United States and Germany. Denise D. Tsao‐Wei's co-authors include Susan Groshen, Jan Stoehlmacher, Kathleen D. Danenberg, Jan Brabender, Peter V. Danenberg, Heinz‐Josef Lenz, Hiroyuki Uetake, Yoshinori Shirota, Robert S. Warren and Viviane S. Ghaderi and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and The Pharmacogenomics Journal.

In The Last Decade

Denise D. Tsao‐Wei

7 papers receiving 1.3k citations

Hit Papers

ERCC1 and Thymidylate Syn... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Denise D. Tsao‐Wei United States 5 817 558 329 265 255 7 1.4k
Lucio Giustini Italy 20 884 1.1× 385 0.7× 294 0.9× 407 1.5× 322 1.3× 41 1.3k
Steven Blotner United States 17 598 0.7× 257 0.5× 175 0.5× 223 0.8× 125 0.5× 36 1.1k
C J Allegra United States 17 1.2k 1.4× 610 1.1× 337 1.0× 334 1.3× 247 1.0× 30 1.5k
Maryann Redlinger United States 14 525 0.6× 459 0.8× 79 0.2× 193 0.7× 70 0.3× 25 1.1k
Fraser Symmans United States 14 597 0.7× 596 1.1× 124 0.4× 317 1.2× 112 0.4× 21 1.2k
Yihebali Chi China 16 1.5k 1.8× 308 0.6× 238 0.7× 817 3.1× 378 1.5× 67 2.0k
David Páez Spain 20 828 1.0× 559 1.0× 162 0.5× 292 1.1× 211 0.8× 75 1.3k
Ernesto Wasserman United States 17 812 1.0× 418 0.7× 114 0.3× 358 1.4× 141 0.6× 35 1.2k
Heinz-Josef Lenz United States 9 2.1k 2.6× 941 1.7× 669 2.0× 821 3.1× 542 2.1× 14 2.7k
Dale R. Shepard United States 17 478 0.6× 419 0.8× 95 0.3× 470 1.8× 115 0.5× 75 1.2k

Countries citing papers authored by Denise D. Tsao‐Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

7 of 7 papers shown
1.
García, Agustin A., M. McNamara, Sidney Scudder, et al.. (2004). Phase II trial of fenretinide (4-HPR) in recurrent ovarian and primary peritoneal carcinoma: A California Cancer Consortium trial. Journal of Clinical Oncology. 22(14_suppl). 5056–5056. 2 indexed citations
2.
Brabender, Jan, Henning Usadel, Ralf Metzger, et al.. (2003). Quantitative O(6)-methylguanine DNA methyltransferase methylation analysis in curatively resected non-small cell lung cancer: associations with clinical outcome.. PubMed. 9(1). 223–7. 86 indexed citations
3.
Pullarkat, Sheeja T., Jan Stoehlmacher, Viviane S. Ghaderi, et al.. (2001). Thymidylate synthase gene polymorphism determines response and toxicity of 5-FU chemotherapy. The Pharmacogenomics Journal. 1(1). 65–70. 455 indexed citations
4.
Stoehlmacher, Jan, et al.. (2001). A polymorphism of the XRCC1 gene predicts for response to platinum based treatment in advanced colorectal cancer.. PubMed. 21(4B). 3075–9. 136 indexed citations
5.
Shirota, Yoshinori, Jan Stoehlmacher, Jan Brabender, et al.. (2001). ERCC1 and Thymidylate Synthase mRNA Levels Predict Survival for Colorectal Cancer Patients Receiving Combination Oxaliplatin and Fluorouracil Chemotherapy. Journal of Clinical Oncology. 19(23). 4298–4304. 511 indexed citations breakdown →
6.
Greaves, Timothy S., Barbara D. Florentine, Anwar Raza, et al.. (2000). Follicular lesions of thyroid. Cancer. 90(6). 335–341. 3 indexed citations
7.
Greaves, Timothy S., Barbara D. Florentine, Anwar Raza, et al.. (2000). Follicular lesions of thyroid. Cancer. 90(6). 335–341. 158 indexed citations

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.

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