Melissa E. Ko

646 citations
7 papers · 111 · h-index 4

Impact in

Papers in

    • Higher Education Research Studies 2
    • Service-Learning and Community Engagement 2
    • Evaluation of Teaching Practices 2
    • Higher Education Practises and Engagement 1
    • Single-cell and spatial transcriptomics 2

Melissa E. Ko

6 papers receiving 110 citations

Peers

Melissa E. Ko
Comparison fields: 5 of 44
  • Biophysics 12
  • Cancer Research 18
  • Pathology and Forensic Medicine 21
  • Oncology 26
  • Genetics 26
Replace Dina Levi with:
Dina Levi Canada
Evan Biederstedt United States
Eleanor Fewings United Kingdom
Emma Colliver United Kingdom
Ekaterina Postovalova United States
Peter‐Martin Bruch Germany
Rozelle Laquindanum United States
Jared Henderson United States
Sameer Salunkhe India
Mareen Lüthen Germany
Melissa E. Ko relative to Dina Levi Canada Dina Levi's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Melissa E. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Melissa E. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melissa E. Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Melissa E. Ko Line = papers co-authored together Melissa E. Ko links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201262
2 202025
3 202015
4 20244
5 20243
6 20232
7 20240

About Melissa E. Ko

Melissa E. Ko is a scholar working on Education, Molecular Biology, Pathology and Forensic Medicine, Oncology and Safety Research, having authored 7 papers that have together received 111 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Higher Education Research Studies (2 papers), Service-Learning and Community Engagement (2 papers), Evaluation of Teaching Practices (2 papers), Cancer Genomics and Diagnostics (1 paper), Career Development and Diversity (1 paper), Cell Image Analysis Techniques (1 paper) and Higher Education Practises and Engagement (1 paper). The work is most often cited by research in Biophysics (12 citations), Cancer Research (18 citations), Pathology and Forensic Medicine (21 citations), Oncology (26 citations) and Genetics (26 citations). Melissa E. Ko has collaborated with scholars based in United States and Australia. Frequent co-authors include Stephanie Huang, Craig P. Giacomini, Albert Y. Lin, Jonathan R. Pollack, Matt van de Rijn, Keyan Salari, Garry P. Nolan, Corey M. Williams, Eli R. Zunder and Cassandra J. Vandenberg. Their work appears in journals such as CBE—Life Sciences Education, Proceedings of the National Academy of Sciences, Innovative Higher Education, Nature Protocols and Cell Death and Differentiation.

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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