Melissa E. Ko
Impact in
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- Cell Image Analysis Techniques
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- Cancer Genomics and Diagnostics
Papers in
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- Service-Learning and Community Engagement 2
- Higher Education Research Studies 2
- Evaluation of Teaching Practices 2
- Innovations in Educational Methods 1
- Higher Education Learning Practices 1
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Matt van de Rijn (1 shared paper)Keyan Salari (1 shared paper)Stephanie Huang (1 shared paper)Craig P. Giacomini (1 shared paper)Albert Y. Lin (1 shared paper)Jonathan R. Pollack (1 shared paper)Garry P. Nolan (2 shared papers)Pasquale L. Fedele (1 shared paper)
- Journals
- CBE—Life Sciences Education (2 papers)Innovative Higher Education (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cell Death and Differentiation (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Melissa E. Ko
6 papers receiving 113 citations
Peers
Comparison fields: 5 of 45
- Biophysics 10
- Cancer Research 15
- Pathology and Forensic Medicine 17
- Oncology 24
- Genetics 25
Countries citing papers authored by Melissa E. Ko
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2020 | 25 | |
| 3 | 2020 | 16 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 |
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 114 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Service-Learning and Community Engagement (2 papers), Higher Education Research Studies (2 papers), Evaluation of Teaching Practices (2 papers), Innovations in Educational Methods (1 paper), Digestive system and related health (1 paper), Higher Education Learning Practices (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biophysics (10 citations), Cancer Research (15 citations), Pathology and Forensic Medicine (17 citations), Oncology (24 citations) and Genetics (25 citations). Melissa E. Ko has collaborated with scholars based in United States and Australia. Frequent co-authors include Matt van de Rijn, Keyan Salari, Stephanie Huang, Craig P. Giacomini, Albert Y. Lin, Jonathan R. Pollack, Garry P. Nolan, Pasquale L. Fedele, Simon J. Harrison and Daniel H.D. Gray. Their work appears in journals such as CBE—Life Sciences Education, Innovative Higher Education, Proceedings of the National Academy of Sciences, Cell Death and Differentiation and Nature Protocols.
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.