Denise M. Wolf
- Molecular Biology top 5%
- Oncology top 1%
- Immunology top 1%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- Adam P. ArkinChristopher V. RaoMatthew F. KrummelMikhail BinnewiesAmanda E. NelsonMiranda L. BrozVijay V. VaziraniLaura J. van’t Veer
- Topics
- Cancer Genomics and Diagnostics (27 papers)Breast Cancer Treatment Studies (20 papers)HER2/EGFR in Cancer Research (17 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Denise M. Wolf
83 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.1k
- Oncology 1.7k
- Immunology 1.6k
- Genetics 690
- Cancer Research 495
Countries citing papers authored by Denise M. Wolf
This map shows the geographic impact of Denise M. Wolf'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 M. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise M. Wolf more than expected).
Fields of papers citing papers by Denise M. Wolf
This network shows the impact of papers produced by Denise M. Wolf. 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 M. Wolf. The network helps show where Denise M. Wolf may publish in the future.
Co-authorship network of co-authors of Denise M. Wolf
This figure shows the co-authorship network connecting the top 25 collaborators of Denise M. Wolf. A scholar is included among the top collaborators of Denise M. Wolf 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 M. Wolf. Denise M. Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 101 | |
| 13 | 36 | |
| 14 | 14 | |
| 15 | DNA repair deficiency biomarkers and identification of ER-positive breast cancer patients who may benefit from veliparib/carboplatin: Results from the I-SPY 2 trial. | 1 |
| 16 | 114 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 35 | |
| 20 | Automatic discovery of sub-molecular sequence domains in multi-aligned \nsequences: A dynamic programming algorithm for multiple alignment \nsegmentation | 2 |
About Denise M. Wolf
Denise M. Wolf is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (27 papers), Breast Cancer Treatment Studies (20 papers) and HER2/EGFR in Cancer Research (17 papers). The work is most often cited by research in Immunology (1.6k citations), Oncology (1.7k citations) and Cancer Research (495 citations). Denise M. Wolf has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Adam P. Arkin, Christopher V. Rao, Matthew F. Krummel, Mikhail Binnewies, Amanda E. Nelson, Miranda L. Broz, Vijay V. Vazirani, Laura J. van’t Veer, Tsuneyasu Kaisho and Dusan Bogunovic. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.