Melissa E. Ko
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Evaluation of Teaching Practices 2
- Higher Education Research Studies 2
- Innovative Teaching Methods 1
- Science Education and Pedagogy 1
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- Career Development and Diversity 2
- Co-authors
- Albert Y. Lin (1 shared paper)Matt van de Rijn (1 shared paper)Keyan Salari (1 shared paper)Craig P. Giacomini (1 shared paper)Jonathan R. Pollack (1 shared paper)Garry P. Nolan (2 shared papers)Corey M. Williams (1 shared paper)Michael Sze Yuan Low (1 shared paper)
- Journals
- CBE—Life Sciences Education (3 papers)Nature Communications (2 papers)Cell Death and Differentiation (1 paper)Nature Protocols (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaPuerto Rico
In The Last Decade
Melissa E. Ko
11 papers receiving 478 citations
Melissa E. Ko's Hit Papers
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 178
- Health Informatics 12
- Cancer Research 44
- Oncology 59
- Modeling and Simulation 13
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 | Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen Hit paper breakdown → | 2019 | 263 |
| 2 | 2020 | 80 | |
| 3 | 2012 | 70 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2024 | 1 |
About Melissa E. Ko
Melissa E. Ko is a scholar working on Education, Safety Research, Hematology, Molecular Biology and Computational Theory and Mathematics, having authored 11 papers that have together received 486 indexed citations. Recurring topics across this work include Evaluation of Teaching Practices (2 papers), Career Development and Diversity (2 papers), Higher Education Research Studies (2 papers), Single-cell and spatial transcriptomics (2 papers), Innovative Teaching Methods (1 paper), Science Education and Pedagogy (1 paper), Critical Race Theory in Education (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (178 citations), Health Informatics (12 citations), Cancer Research (44 citations), Oncology (59 citations) and Modeling and Simulation (13 citations). Melissa E. Ko has collaborated with scholars based in United States, Australia and Puerto Rico. Frequent co-authors include Albert Y. Lin, Matt van de Rijn, Keyan Salari, Craig P. Giacomini, Jonathan R. Pollack, Garry P. Nolan, Corey M. Williams, Michael Sze Yuan Low, Simon James Harrison and David C.S. Huang. Their work appears in journals such as CBE—Life Sciences Education, Nature Communications, Cell Death and Differentiation, Nature Protocols and Proceedings of the National Academy of Sciences.
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.