Emi Sei

5.2k total citations · 2 hit papers
25 papers, 2.5k citations indexed

About

Emi Sei is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Emi Sei has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 14 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Emi Sei's work include Cancer Genomics and Diagnostics (18 papers), Single-cell and spatial transcriptomics (11 papers) and Prostate Cancer Treatment and Research (7 papers). Emi Sei is often cited by papers focused on Cancer Genomics and Diagnostics (18 papers), Single-cell and spatial transcriptomics (11 papers) and Prostate Cancer Treatment and Research (7 papers). Emi Sei collaborates with scholars based in United States, China and Sweden. Emi Sei's co-authors include Nicholas E. Navin, Ruli Gao, Tod D. Casasent, Charissa Kim, Theodoros Foukakis, Nicola Crosetto, Thomas Hatschek, Johan Hartman, Rachel Brandt and Alexander Davis and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Emi Sei

24 papers receiving 2.4k citations

Hit Papers

Chemoresistance Evolution... 2018 2026 2020 2023 2018 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emi Sei 1.6k 1.4k 980 396 322 25 2.5k
Ruli Gao 1.8k 1.1× 1.5k 1.1× 1.0k 1.1× 353 0.9× 407 1.3× 31 2.8k
Françoise Rothé 1.2k 0.7× 1.4k 1.0× 1.5k 1.6× 562 1.4× 497 1.5× 71 2.9k
David Gentien 1.4k 0.9× 868 0.6× 902 0.9× 484 1.2× 268 0.8× 83 2.7k
Peter van Galen 2.5k 1.5× 1.2k 0.9× 1.1k 1.1× 212 0.5× 684 2.1× 44 3.9k
Marco Gerlinger 1.1k 0.7× 1.2k 0.8× 955 1.0× 647 1.6× 233 0.7× 62 2.4k
Nancy G. Azizian 1.5k 0.9× 580 0.4× 772 0.8× 361 0.9× 152 0.5× 8 2.1k
Oleg Schmidt‐Kittler 2.1k 1.3× 1.2k 0.9× 1.5k 1.5× 525 1.3× 231 0.7× 24 3.5k
Kristine Kleivi Sahlberg 1.8k 1.1× 1.5k 1.1× 700 0.7× 237 0.6× 176 0.5× 60 2.7k
Somaia Elsheikh 1.0k 0.6× 636 0.5× 791 0.8× 213 0.5× 182 0.6× 25 1.8k
Oscar Krijgsman 1.4k 0.9× 757 0.5× 1.4k 1.5× 426 1.1× 493 1.5× 63 2.8k

Countries citing papers authored by Emi Sei

Since Specialization
Citations

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

Fields of papers citing papers by Emi Sei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emi Sei. 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 Emi Sei. The network helps show where Emi Sei may publish in the future.

Co-authorship network of co-authors of Emi Sei

This figure shows the co-authorship network connecting the top 25 collaborators of Emi Sei. A scholar is included among the top collaborators of Emi Sei 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 Emi Sei. Emi Sei 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.
Zhao, Yuehui, Naveen Ramesh, Ping Xu, et al.. (2025). Longitudinal Profiling of Circulating Tumor DNA Reveals the Evolutionary Dynamics of Metastatic Prostate Cancer during Serial Therapy. Cancer Research. 85(9). 1680–1695. 1 indexed citations
2.
Schalck, Aislyn, Donastas Sakellariou-Thompson, Marie‐Andrée Forget, et al.. (2022). Single-Cell Sequencing Reveals Trajectory of Tumor-Infiltrating Lymphocyte States in Pancreatic Cancer. Cancer Discovery. 12(10). 2330–2349. 44 indexed citations
3.
Hu, Min, et al.. (2022). Reconstructing mutational lineages in breast cancer by multi-patient-targeted single-cell DNA sequencing. Cell Genomics. 3(1). 100215–100215. 9 indexed citations
4.
Wei, Runmin, Siyuan He, Shanshan Bai, et al.. (2022). Spatial charting of single-cell transcriptomes in tissues. Nature Biotechnology. 40(8). 1190–1199. 123 indexed citations
5.
Wu, Hua‐Jun, Daniel Temko, Zoltan Maliga, et al.. (2022). Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients. Cell Genomics. 2(8). 100165–100165. 27 indexed citations
6.
Gao, Ruli, Shanshan Bai, Ying C. Henderson, et al.. (2021). Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes. Nature Biotechnology. 39(5). 599–608. 413 indexed citations breakdown →
7.
Wang, Kaile, Zhenna Xiao, Yun Yan, et al.. (2021). Simple oligonucleotide-based multiplexing of single-cell chromatin accessibility. Molecular Cell. 81(20). 4319–4332.e10. 24 indexed citations
8.
Malihi, Paymaneh D., Ryon P. Graf, Ángel Rodríguez, et al.. (2020). Single-Cell Circulating Tumor Cell Analysis Reveals Genomic Instability as a Distinctive Feature of Aggressive Prostate Cancer. Clinical Cancer Research. 26(15). 4143–4153. 61 indexed citations
9.
Ramesh, Naveen, Emi Sei, Shanshan Bai, et al.. (2020). Decoding the evolutionary response to prostate cancer therapy by plasma genome sequencing. Genome biology. 21(1). 162–162. 9 indexed citations
10.
Corn, Paul G., Elisabeth I. Heath, Amado J. Zurita, et al.. (2019). Cabazitaxel plus carboplatin for the treatment of men with metastatic castration-resistant prostate cancers: a randomised, open-label, phase 1–2 trial. The Lancet Oncology. 20(10). 1432–1443. 118 indexed citations
11.
Ramesh, Naveen, Emi Sei, Christopher J. Logothetis, et al.. (2019). Abstract 446: Plasma genome sequencing identifies prostate cancer patients that are sensitive to platinum-based therapy. 446–446. 1 indexed citations
12.
Casasent, Tod D., Aislyn Schalck, Ruli Gao, et al.. (2018). Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing. Cell. 172(1-2). 205–217.e12. 279 indexed citations
13.
Kim, Charissa, Ruli Gao, Emi Sei, et al.. (2018). Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing. Cell. 173(4). 879–893.e13. 699 indexed citations breakdown →
14.
Leung, Marco L., Alexander Davis, Ruli Gao, et al.. (2017). Single-cell DNA sequencing reveals a late-dissemination model in metastatic colorectal cancer. Genome Research. 27(8). 1287–1299. 147 indexed citations
15.
Gao, Ruli, Charissa Kim, Emi Sei, et al.. (2017). Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer. Nature Communications. 8(1). 228–228. 84 indexed citations
16.
Gao, Ruli, Alexander Davis, Thomas O. McDonald, et al.. (2016). Punctuated copy number evolution and clonal stasis in triple-negative breast cancer. Nature Genetics. 48(10). 1119–1130. 305 indexed citations
17.
Leung, Marco L., Yong Wang, Charissa Kim, et al.. (2016). Highly multiplexed targeted DNA sequencing from single nuclei. Nature Protocols. 11(2). 214–235. 36 indexed citations
18.
Sei, Emi, Tao Wang, Olga V. Hunter, Yang Xie, & Nicholas K. Conrad. (2015). HITS-CLIP Analysis Uncovers a Link between the Kaposi’s Sarcoma-Associated Herpesvirus ORF57 Protein and Host Pre-mRNA Metabolism. PLoS Pathogens. 11(2). e1004652–e1004652. 19 indexed citations
19.
Sei, Emi & Nicholas K. Conrad. (2014). UV Cross-Linking of Interacting RNA and Protein in Cultured Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 539. 53–66. 12 indexed citations
20.
Sei, Emi & Nicholas K. Conrad. (2011). Delineation of a core RNA element required for Kaposi's sarcoma-associated herpesvirus ORF57 binding and activity. Virology. 419(2). 107–116. 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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