Ben S. Wittner
- Oncology top 0.5%
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Biomedical Engineering top 2%
- Co-authors
- Sridhar RamaswamyShyamala MaheswaranDaniel A. HaberDavid T. TingMehmet TonerShannon L. StottMin YuAditya Bardia
- Topics
- Cancer Cells and Metastasis (18 papers)Cancer Genomics and Diagnostics (13 papers)Epigenetics and DNA Methylation (6 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Ben S. Wittner
42 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Oncology 4.3k
- Molecular Biology 4.1k
- Cancer Research 3.0k
- Pulmonary and Respiratory Medicine 1.2k
- Biomedical Engineering 1.0k
Countries citing papers authored by Ben S. Wittner
This map shows the geographic impact of Ben S. Wittner'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 Ben S. Wittner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben S. Wittner more than expected).
Fields of papers citing papers by Ben S. Wittner
This network shows the impact of papers produced by Ben S. Wittner. 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 Ben S. Wittner. The network helps show where Ben S. Wittner may publish in the future.
Co-authorship network of co-authors of Ben S. Wittner
This figure shows the co-authorship network connecting the top 25 collaborators of Ben S. Wittner. A scholar is included among the top collaborators of Ben S. Wittner 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 Ben S. Wittner. Ben S. Wittner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 65 | |
| 3 | 78 | |
| 4 | 30 | |
| 5 | 35 | |
| 6 | 40 | |
| 7 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown → | 1786 |
| 8 | 43 | |
| 9 | 1 | |
| 10 | Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Compositionbreakdown → | 1928 |
| 11 | 78 | |
| 12 | 217 | |
| 13 | 101 | |
| 14 | 11 | |
| 15 | 66 | |
| 16 | A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulationsbreakdown → | 1828 |
| 17 | 115 | |
| 18 | Large Automatic Learning, Rule Extraction, and Generalization. | 166 |
| 19 | Network Generality, Training Required, and Precision Required | 18 |
| 20 | Strategies for Teaching Layered Networks Classification Tasks | 28 |
About Ben S. Wittner
Ben S. Wittner is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 43 papers that have together received 8.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (18 papers), Cancer Genomics and Diagnostics (13 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (3.0k citations), Oncology (4.3k citations) and Molecular Biology (4.1k citations). Ben S. Wittner has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Sridhar Ramaswamy, Shyamala Maheswaran, Daniel A. Haber, David T. Ting, Mehmet Toner, Shannon L. Stott, Min Yu, Aditya Bardia, Maria Donaldson Collier and Brian W. Brannigan. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.