Melissa Linkert
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
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- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 1
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- Scientific Computing and Data Management 1
- Co-authors
- Josh MooreJean‐Marie BurelWilliam J. MooreChris AllanJason R. SwedlowAleksandra TarkowskaAndrew PattersonBrian Loranger
- Journals
- Nature Methods (1 paper)The Journal of Cell Biology (1 paper)Mammalian Genome (1 paper)Lecture notes in computer science (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Melissa Linkert
5 papers receiving 807 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Biophysics 391
- Structural Biology 36
- Aging 19
- Information Systems and Management 52
- Media Technology 58
Countries citing papers authored by Melissa Linkert
This map shows the geographic impact of Melissa Linkert'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 Linkert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Linkert more than expected).
Fields of papers citing papers by Melissa Linkert
This network shows the impact of papers produced by Melissa Linkert. 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 Linkert. The network helps show where Melissa Linkert may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa Linkert, 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 | 2021 | 66 | |
| 2 | 2019 | 27 | |
| 3 | 2015 | 28 | |
| 4 | 2015 | 20 | |
| 5 | Metadata matters: access to image data in the real world Hit paper breakdown → | 2010 | 674 |
About Melissa Linkert
Melissa Linkert is a scholar working on Biophysics, Information Systems and Management, Molecular Biology, Artificial Intelligence and Infectious Diseases, having authored 5 papers that have together received 815 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Biomedical Text Mining and Ontologies (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper), Scientific Computing and Data Management (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Biophysics (391 citations), Structural Biology (36 citations), Aging (19 citations), Information Systems and Management (52 citations) and Media Technology (58 citations). Melissa Linkert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Josh Moore, Jean‐Marie Burel, William J. Moore, Chris Allan, Jason R. Swedlow, Aleksandra Tarkowska, Andrew Patterson, Brian Loranger, Mike Rossner and Curtis Rueden. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, Mammalian Genome, Lecture notes in computer science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.