Max Wicha
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
- Metal complexes synthesis and properties
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 3
- PARP inhibition in cancer therapy 1
- Cancer Cells and Metastasis 1
-
- Breast Cancer Treatment Studies 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Ming Luo (1 shared paper)Michael Brooks (1 shared paper)Myla Strawderman (2 shared papers)Sofía D. Merajver (2 shared papers)Kenneth J. Pienta (1 shared paper)George J. Brewer (1 shared paper)Bruce G. Redman (1 shared paper)Thierry Jahan (1 shared paper)
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (1 paper)Cancer (1 paper)Breast Cancer Research and Treatment (1 paper)Current Pharmaceutical Design (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Max Wicha
8 papers receiving 564 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 169
- Oncology 265
- Nutrition and Dietetics 116
- Immunology and Allergy 29
- Molecular Biology 195
Countries citing papers authored by Max Wicha
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
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-authors
The 25 scholars most cited alongside Max Wicha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of metastatic cancer with tetrathiomolybdate, an anticopper, antiangiogenic agent: Phase I study. | 2000 | 272 |
| 2 | 2015 | 168 | |
| 3 | 1997 | 84 | |
| 4 | 2011 | 51 | |
| 5 | 2005 | 3 | |
| 6 | 2013 | 1 | |
| 7 | 2015 | 1 | |
| 8 | 2007 | 1 | |
| 9 | 2010 | 0 |
About Max Wicha
Max Wicha is a scholar working on Oncology, Cancer Research, Molecular Biology, Organic Chemistry and Health, Toxicology and Mutagenesis, having authored 9 papers that have together received 581 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), PARP inhibition in cancer therapy (1 paper), DNA Repair Mechanisms (1 paper), Cancer Cells and Metastasis (1 paper), Click Chemistry and Applications (1 paper), BRCA gene mutations in cancer (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Cancer Research (169 citations), Oncology (265 citations), Nutrition and Dietetics (116 citations), Immunology and Allergy (29 citations) and Molecular Biology (195 citations). Max Wicha has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Ming Luo, Michael Brooks, Myla Strawderman, Sofía D. Merajver, Kenneth J. Pienta, George J. Brewer, Bruce G. Redman, Thierry Jahan, Robert D. Dick and Vernon K. Sondak. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer, Breast Cancer Research and Treatment and Current Pharmaceutical Design.
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.