Ben S. Wittner

20.3k total citations · 4 hit papers
43 papers, 8.1k citations indexed

About

Ben S. Wittner is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Ben S. Wittner has authored 43 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 18 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Ben S. Wittner's work include Cancer Cells and Metastasis (18 papers), Cancer Genomics and Diagnostics (13 papers) and Epigenetics and DNA Methylation (6 papers). Ben S. Wittner is often cited by papers focused on Cancer Cells and Metastasis (18 papers), Cancer Genomics and Diagnostics (13 papers) and Epigenetics and DNA Methylation (6 papers). Ben S. Wittner collaborates with scholars based in United States, Netherlands and Switzerland. Ben S. Wittner's 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 and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ben S. Wittner

42 papers receiving 8.0k citations

Hit Papers

Circulating Breast Tumor Cells Exhibit Dynamic Changes i... 2006 2026 2012 2019 2013 2010 2014 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben S. Wittner United States 26 4.3k 4.1k 3.0k 1.2k 1.0k 43 8.1k
Christine L. Chaffer United States 20 4.8k 1.1× 5.9k 1.4× 3.1k 1.0× 891 0.7× 1.1k 1.0× 33 9.9k
Gaorav P. Gupta United States 28 4.4k 1.0× 5.5k 1.4× 2.9k 1.0× 1.1k 0.9× 721 0.7× 76 9.5k
Charlotte Kuperwasser United States 45 6.8k 1.6× 6.4k 1.6× 3.0k 1.0× 951 0.8× 857 0.8× 91 11.1k
Alexander D. Borowsky United States 51 2.6k 0.6× 4.7k 1.2× 1.6k 0.5× 1.3k 1.0× 988 0.9× 197 8.7k
Frank Winkler Germany 43 2.3k 0.5× 3.4k 0.8× 1.8k 0.6× 1.9k 1.5× 1.1k 1.1× 163 8.2k
Mary Helen Barcellos‐Hoff United States 57 5.7k 1.3× 5.4k 1.3× 2.1k 0.7× 2.1k 1.7× 1.1k 1.0× 176 12.6k
Matija Snuderl United States 40 2.2k 0.5× 3.2k 0.8× 2.2k 0.7× 1.4k 1.1× 1.2k 1.1× 188 9.2k
Howard Colman United States 46 2.9k 0.7× 5.8k 1.4× 3.8k 1.3× 1.8k 1.4× 448 0.4× 151 11.8k
Xiang H.-F. Zhang United States 44 6.1k 1.4× 6.4k 1.6× 3.3k 1.1× 2.1k 1.8× 850 0.8× 105 12.7k
Christian Pilarsky Germany 55 5.2k 1.2× 8.0k 2.0× 4.4k 1.5× 1.6k 1.3× 774 0.7× 188 12.9k

Countries citing papers authored by Ben S. Wittner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Fox, Douglas B., Richard Y. Ebright, Xin Hong, et al.. (2023). Downregulation of KEAP1 in melanoma promotes resistance to immune checkpoint blockade. npj Precision Oncology. 7(1). 25–25. 7 indexed citations
2.
Ebright, Richard Y., Marcus Zachariah, Douglas S. Micalizzi, et al.. (2020). HIF1A signaling selectively supports proliferation of breast cancer in the brain. Nature Communications. 11(1). 6311–6311. 65 indexed citations
3.
Kwan, Tanya T., Aditya Bardia, Laura M. Spring, et al.. (2018). A Digital RNA Signature of Circulating Tumor Cells Predicting Early Therapeutic Response in Localized and Metastatic Breast Cancer. Cancer Discovery. 8(10). 1286–1299. 78 indexed citations
4.
Gallenne, Tristan, Kenneth N. Ross, Nils L. Visser, et al.. (2017). Systematic functional perturbations uncover a prognostic genetic network driving human breast cancer. Oncotarget. 8(13). 20572–20587. 30 indexed citations
5.
Javaid, Sarah, Jianmin Zhang, Gromoslaw A. Smolen, et al.. (2015). MAPK7 Regulates EMT Features and Modulates the Generation of CTCs. Molecular Cancer Research. 13(5). 934–943. 35 indexed citations
6.
Tajima, Ken, Toshifumi Yae, Sarah Javaid, et al.. (2015). SETD1A modulates cell cycle progression through a miRNA network that regulates p53 target genes. Nature Communications. 6(1). 8257–8257. 40 indexed citations
7.
Aceto, Nicola, Aditya Bardia, David T. Miyamoto, et al.. (2014). Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis. Cell. 158(5). 1110–1122. 1786 indexed citations breakdown →
8.
McMullin, Ryan P., Ben S. Wittner, Chuanwei Yang, et al.. (2014). A BRCA1deficient-like signature is enriched in breast cancer brain metastases and predicts DNA damage-induced poly (ADP-ribose) polymerase inhibitor sensitivity. Breast Cancer Research. 16(2). R25–R25. 43 indexed citations
9.
Luo, Xi, Devarati Mitra, Ryan J. Sullivan, et al.. (2014). Abstract 4832: Isolation and molecular characterization of circulating melanoma cells. Cancer Research. 74(19_Supplement). 4832–4832. 1 indexed citations
10.
Yu, Min, Aditya Bardia, Ben S. Wittner, et al.. (2013). Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition. Science. 339(6119). 580–584. 1928 indexed citations breakdown →
11.
Javaid, Sarah, Jianmin Zhang, Endre Anderssen, et al.. (2013). Dynamic Chromatin Modification Sustains Epithelial-Mesenchymal Transition following Inducible Expression of Snail-1. Cell Reports. 5(6). 1679–1689. 78 indexed citations
12.
Miyamoto, David T., Richard J. Lee, Shannon L. Stott, et al.. (2012). Androgen Receptor Signaling in Circulating Tumor Cells as a Marker of Hormonally Responsive Prostate Cancer. Cancer Discovery. 2(11). 995–1003. 217 indexed citations
13.
Dey‐Guha, Ipsita, Anita Wolfer, Albert C. Yeh, et al.. (2011). Asymmetric cancer cell division regulated by AKT. Proceedings of the National Academy of Sciences. 108(31). 12845–12850. 101 indexed citations
14.
Lee, J., Ben S. Wittner, Morgan L. Maeder, et al.. (2011). Induction of Stable Drug Resistance in Human Breast Cancer Cells Using a Combinatorial Zinc Finger Transcription Factor Library. PLoS ONE. 6(7). e21112–e21112. 11 indexed citations
15.
Kim, So Young, Ian F. Dunn, Ron Firestein, et al.. (2010). CK1ε Is Required for Breast Cancers Dependent on β-Catenin Activity. PLoS ONE. 5(2). e8979–e8979. 66 indexed citations
16.
Sharma, Sreenath V., Diana Lee, Bihua Li, et al.. (2010). A Chromatin-Mediated Reversible Drug-Tolerant State in Cancer Cell Subpopulations. Cell. 141(1). 69–80. 1828 indexed citations breakdown →
17.
Wittner, Ben S., Dennis C. Sgroi, Paula D. Ryan, et al.. (2008). Analysis of the MammaPrint Breast Cancer Assay in a Predominantly Postmenopausal Cohort. Clinical Cancer Research. 14(10). 2988–2993. 115 indexed citations
18.
Denker, John S., Daniel Schwartz, Ben S. Wittner, et al.. (1987). Large Automatic Learning, Rule Extraction, and Generalization.. Complex Systems. 1. 166 indexed citations
19.
Denker, John S. & Ben S. Wittner. (1987). Network Generality, Training Required, and Precision Required. Neural Information Processing Systems. 219–222. 18 indexed citations
20.
Wittner, Ben S. & John S. Denker. (1987). Strategies for Teaching Layered Networks Classification Tasks. Neural Information Processing Systems. 850–859. 28 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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