Nan Rosemary Ke

3.2k total citations · 2 hit papers
36 papers, 1.2k citations indexed

About

Nan Rosemary Ke is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Nan Rosemary Ke has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Nan Rosemary Ke's work include Cancer-related Molecular Pathways (11 papers), Advanced Breast Cancer Therapies (9 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Nan Rosemary Ke is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Advanced Breast Cancer Therapies (9 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Nan Rosemary Ke collaborates with scholars based in United States, Canada and China. Nan Rosemary Ke's co-authors include Yoshua Bengio, Anirudh Goyal, Bernhard Schölkopf, Nal Kalchbrenner, Stefan Bauer, Francesco Locatello, Piotr Siciński, Joel M. Chick, Yoon Jong Choi and Hans R. Widlund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Nan Rosemary Ke

33 papers receiving 1.1k citations

Hit Papers

Toward Causal Representatio... 2011 2026 2016 2021 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Rosemary Ke United States 10 356 353 311 230 111 36 1.2k
Yi‐Hua Liao Taiwan 24 608 1.7× 540 1.5× 445 1.4× 100 0.4× 63 0.6× 114 2.7k
Yitan Zhu United States 18 555 1.6× 746 2.1× 259 0.8× 282 1.2× 90 0.8× 41 2.2k
Azzam Taktak United Kingdom 22 216 0.6× 490 1.4× 661 2.1× 183 0.8× 35 0.3× 53 1.7k
Young Hwan Chang United States 19 155 0.4× 423 1.2× 492 1.6× 88 0.4× 48 0.4× 105 1.4k
Youhui Zhang China 28 283 0.8× 522 1.5× 328 1.1× 58 0.3× 129 1.2× 123 2.3k
Antonio Ferrández Spain 23 473 1.3× 170 0.5× 219 0.7× 121 0.5× 71 0.6× 101 1.6k
Pierre Gestraud France 14 108 0.3× 631 1.8× 331 1.1× 136 0.6× 57 0.5× 19 1.2k
Chao Sima United States 21 286 0.8× 907 2.6× 441 1.4× 161 0.7× 79 0.7× 53 1.9k
Shigeyuki Oba Japan 20 171 0.5× 667 1.9× 205 0.7× 287 1.2× 140 1.3× 53 1.6k

Countries citing papers authored by Nan Rosemary Ke

Since Specialization
Citations

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

Fields of papers citing papers by Nan Rosemary Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Rosemary Ke. 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 Nan Rosemary Ke. The network helps show where Nan Rosemary Ke may publish in the future.

Co-authorship network of co-authors of Nan Rosemary Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Rosemary Ke. A scholar is included among the top collaborators of Nan Rosemary Ke 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 Nan Rosemary Ke. Nan Rosemary Ke 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.
Sharma, Manish, Babar Bashir, Dejan Juric, et al.. (2022). Trial in progress: Phase I study of SY-5609, a potent, selective CDK7 inhibitor, with initial expansion in adults with metastatic pancreatic cancer.. Journal of Clinical Oncology. 40(16_suppl). TPS4180–TPS4180. 3 indexed citations
2.
Schölkopf, Bernhard, Francesco Locatello, Stefan Bauer, et al.. (2021). Toward Causal Representation Learning. Proceedings of the IEEE. 109(5). 612–634. 519 indexed citations breakdown →
4.
Ke, Nan Rosemary, Tong Lin, & Zhouchen Lin. (2021). Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. 666–673. 4 indexed citations
5.
Johannessen, Liv, Nan Rosemary Ke, Anthony D’Ippolito, et al.. (2020). Activity of SY-5609, an oral, noncovalent, potent, and selective CDK7 inhibitor, in preclinical models of colorectal cancer.. Journal of Clinical Oncology. 38(15_suppl). 3585–3585. 3 indexed citations
6.
Papadopoulos, Kyriakos P., Manish Sharma, Debra L. Richardson, et al.. (2020). Early evidence of dose-dependent pharmacodynamic activity following treatment with SY-5609, a highly selective and potent oral CDK7 inhibitor, in patients with advanced solid tumors. European Journal of Cancer. 138. S50–S50. 2 indexed citations
7.
Ke, Nan Rosemary, Qi Hua, & Yuanxin Ye. (2019). A template matching method of multimodal remote sensing images based on deep convolutional feature representation. SHILAP Revista de lepidopterología. 6 indexed citations
10.
Geng, Yan, Wojciech Michowski, Joel M. Chick, et al.. (2018). Kinase-independent function of E-type cyclins in liver cancer. Proceedings of the National Academy of Sciences. 115(5). 1015–1020. 30 indexed citations
11.
Ke, Nan Rosemary, Konrad Żołna, Alessandro Sordoni, et al.. (2018). Focused Hierarchical RNNs for Conditional Sequence Processing. PolyPublie (École Polytechnique de Montréal). 2554–2563. 9 indexed citations
12.
Ke, Nan Rosemary, Amanpreet Singh, Abdelaziz Touati, et al.. (2018). Modeling the Long Term Future in Model-Based Reinforcement Learning. International Conference on Learning Representations. 5 indexed citations
13.
Serdyuk, Dmitriy, Nan Rosemary Ke, Alessandro Sordoni, et al.. (2018). Twin Networks: Matching the Future for Sequence Generation. PolyPublie (École Polytechnique de Montréal). 16 indexed citations
14.
Ke, Nan Rosemary, Anirudh Goyal, Olexa Bilaniuk, et al.. (2018). Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. PolyPublie (École Polytechnique de Montréal). 31. 7640–7651. 11 indexed citations
15.
Arpit, Devansh, et al.. (2018). h-detach: Modifying the LSTM Gradient Towards Better Optimization. arXiv (Cornell University). 8 indexed citations
16.
Serdyuk, Dmitriy, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, & Yoshua Bengio. (2017). Twin Networks: Using the Future as a Regularizer.. arXiv (Cornell University). 5 indexed citations
17.
Hu, Shanhu, Nan Rosemary Ke, Yixuan Ren, et al.. (2017). Abstract 1151: SY-1365, a potent and selective CDK7 inhibitor, exhibits promising anti-tumor activity in multiple preclinical models of aggressive solid tumors. Cancer Research. 77(13_Supplement). 1151–1151. 3 indexed citations
18.
Bradley, Michael J., Jason Marineau, Yoon‐La Choi, et al.. (2017). Abstract 1143: Targeting the transcriptional kinases CDK12 and CDK13 in breast and ovarian cancer. Cancer Research. 77(13_Supplement). 1143–1143. 2 indexed citations
19.
Chan, William, Nan Rosemary Ke, & Ian Lane. (2015). Transferring knowledge from a RNN to a DNN. 3264–3268. 18 indexed citations
20.
Anders, Lars, Nan Rosemary Ke, Per Hydbring, et al.. (2011). A Systematic Screen for CDK4/6 Substrates Links FOXM1 Phosphorylation to Senescence Suppression in Cancer Cells. Cancer Cell. 20(5). 620–634. 431 indexed citations breakdown →

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