Max Wicha

961 total citations
9 papers, 582 citations indexed

About

Max Wicha is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Max Wicha has authored 9 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Max Wicha's work include Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). Max Wicha is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Breast Cancer Treatment Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). Max Wicha collaborates with scholars based in United States, Netherlands and United Kingdom. Max Wicha's co-authors include Ming Luo, Michael Brooks, Myla Strawderman, Sofía D. Merajver, George J. Brewer, Bruce G. Redman, Thierry Jahan, Michael T. Tseng, Gerald L. LeCarpentier and Kenneth J. Pienta and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Max Wicha

8 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Wicha United States 4 301 219 192 119 60 9 582
Xiaobo Cui China 18 210 0.7× 574 2.6× 319 1.7× 94 0.8× 45 0.8× 49 864
Y.C. Wong Hong Kong 13 213 0.7× 549 2.5× 193 1.0× 37 0.3× 57 0.9× 22 885
Bryan M. Gillard United States 12 137 0.5× 320 1.5× 111 0.6× 42 0.4× 65 1.1× 25 615
Tim Kute United States 9 110 0.4× 326 1.5× 114 0.6× 177 1.5× 15 0.3× 9 752
Mary Jo Pilat United States 12 230 0.8× 407 1.9× 143 0.7× 51 0.4× 72 1.2× 25 669
Kuo Yang China 19 152 0.5× 497 2.3× 263 1.4× 30 0.3× 77 1.3× 52 825
O W McBride United States 13 189 0.6× 575 2.6× 155 0.8× 48 0.4× 114 1.9× 15 849
Jayne Murray Australia 12 239 0.8× 415 1.9× 229 1.2× 95 0.8× 42 0.7× 23 817
Tomasz B. Owczarek Poland 12 188 0.6× 268 1.2× 95 0.5× 29 0.2× 28 0.5× 18 533
Peter V. E. van den Berghe Netherlands 8 284 0.9× 363 1.7× 75 0.4× 304 2.6× 33 0.6× 8 877

Countries citing papers authored by Max Wicha

Since Specialization
Citations

This map shows the geographic impact of Max Wicha'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 Max Wicha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Wicha more than expected).

Fields of papers citing papers by Max Wicha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Wicha. 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 Max Wicha. The network helps show where Max Wicha may publish in the future.

Co-authorship network of co-authors of Max Wicha

This figure shows the co-authorship network connecting the top 25 collaborators of Max Wicha. A scholar is included among the top collaborators of Max Wicha 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 Max Wicha. Max Wicha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Luo, Ming, Michael Brooks, & Max Wicha. (2015). Epithelial-Mesenchymal Plasticity of Breast Cancer Stem Cells: Implications for Metastasis and Therapeutic Resistance. Current Pharmaceutical Design. 21(10). 1301–1310. 168 indexed citations
2.
Burnett, Joseph, Hayley J. Paholak, Sean McDermott, et al.. (2015). Abstract 4076: Combination of docetaxel with sulforaphane synergistically inhibits triple negative breast cancer and cancer stem cells. Cancer Research. 75(15_Supplement). 4076–4076. 1 indexed citations
3.
Liu, Yajing, et al.. (2013). Abstract 3720: Rad51 is involved in PARP inhibitor resistance in triple-negative breast cancer stem cells (TNBCSCs).. Cancer Research. 73(8_Supplement). 3720–3720. 1 indexed citations
4.
Henry, N. Lynn, Mousumi Banerjee, Max Wicha, et al.. (2011). Pilot study of duloxetine for treatment of aromatase inhibitor‐associated musculoskeletal symptoms. Cancer. 117(24). 5469–5475. 51 indexed citations
5.
Henry, N. Lynn, et al.. (2010). Abstract PD08-06: Duloxetine for Treatment of Aromatase Inhibitor (AI)-Associated Musculoskeletal Syndrome (AIMSS). Cancer Research. 70(24_Supplement). PD08–6.
6.
Dontu, Gabriela, Christophe Ginestier, & Max Wicha. (2007). 27 INVITED ALDH1 is a marker of normal and cancer breast stem cells and a predictor of poor clinical outcome. European Journal of Cancer Supplements. 5(4). 11–11. 1 indexed citations
7.
Lippman, Marc E., Chris Benz, Arul M. Chinnaiyan, et al.. (2005). Consensus statement: Expedition Inspiration 2004 Breast Cancer Symposium ?Breast Cancer ? the Development and Validation of New Therapeutics?. Breast Cancer Research and Treatment. 90(1). 1–3. 3 indexed citations
8.
Brewer, George J., Robert D. Dick, Michael T. Tseng, et al.. (2000). Treatment of metastatic cancer with tetrathiomolybdate, an anticopper, antiangiogenic agent: Phase I study.. PubMed. 6(1). 1–10. 273 indexed citations
9.
Merajver, Sofía D., Barbara L. Weber, Robert Cody, et al.. (1997). Breast conservation and prolonged chemotherapy for locally advanced breast cancer: the University of Michigan experience.. Journal of Clinical Oncology. 15(8). 2873–2881. 84 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026