Emily Ko

554 citations
6 papers · 170 indexed · 1 hit paper · h-index 5
Topics
Immune cells in cancer (2 papers)MicroRNA in disease regulation (2 papers)Galectins and Cancer Biology (1 paper)
Partner nations
United StatesMexico

In The Last Decade

Emily Ko

6 papers receiving 169 citations

Hit Papers

Metabolic targeting of cancer associated fibroblasts over...20242026202520241020304050

Peers

Emily Ko
Comparison fields: 5 of 44
  • Cellular and Molecular Neuroscience 61
  • Molecular Biology 51
  • Oncology 43
  • Immunology 39
  • Cancer Research 24
Replace Rafael E. Flores‐Obando with:
Rafael E. Flores‐Obando United States
Valeria Gonzalez‐Nicolini Switzerland
Tongtong Liu China
Takenobu Nii Japan
San San Xu Australia
Sara S. Parker United States
Britta M. Grebbin Germany
Yichun He United States
Tomasz Zygmunt United States
Hwajin Jung South Korea
Emily Ko relative to Rafael E. Flores‐Obando United States Rafael E. Flores‐Obando's profile →
Citations per field
00.5×3.6×
Rafael E. Flores‐Obando · 1×
Citations per year

Countries citing papers authored by Emily Ko

Since Specialization
Citations

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

Fields of papers citing papers by Emily Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Ko. A scholar is included among the top collaborators of Emily Ko 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 Emily Ko. Emily Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Metabolic targeting of cancer associated fibroblasts overcomes T-cell exclusion and chemoresistance in soft-tissue sarcomasbreakdown →
52
2 18
3 1
4 12
5 31
6 56

About Emily Ko

Emily Ko is a scholar working on Immunology, Cancer Research and Neurology, having authored 6 papers that have together received 170 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), MicroRNA in disease regulation (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (61 citations), Neurology (16 citations) and Immunology (39 citations). Emily Ko has collaborated with scholars based in United States and Mexico. Frequent co-authors include Fernando Henrique Galvão Tessaro, Jlenia Guarnerio, Marco De Simone, Edward S. Boyden, Jacob Bernstein, Helen S. Goodridge, Giovanni Talei Franzesi, Xue Han, Robert Desimone and Patrick Stern. Their work appears in journals such as Nature Communications, Cancer Research and Cell Reports.

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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