Alec Wysoker
- Molecular Biology top 0.05%
- Genetics top 0.02%
- Plant Science top 0.05%
- Cancer Research top 0.2%
- Ecology top 0.2%
- Co-authors
- Heng LiRobert E. HandsakerGonçalo R. AbecasisJue RuanGábor MarthTim FennellRichard DurbinNils Homer
- Topics
- Genomics and Phylogenetic Studies (3 papers)Cell Image Analysis Techniques (2 papers)Single-cell and spatial transcriptomics (2 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Alec Wysoker
10 papers receiving 42.6k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Molecular Biology 24.3k
- Genetics 11.6k
- Plant Science 9.1k
- Cancer Research 4.3k
- Ecology 4.3k
Countries citing papers authored by Alec Wysoker
This map shows the geographic impact of Alec Wysoker'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 Alec Wysoker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alec Wysoker more than expected).
Fields of papers citing papers by Alec Wysoker
This network shows the impact of papers produced by Alec Wysoker. 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 Alec Wysoker. The network helps show where Alec Wysoker may publish in the future.
Co-authorship network of co-authors of Alec Wysoker
This figure shows the co-authorship network connecting the top 25 collaborators of Alec Wysoker. A scholar is included among the top collaborators of Alec Wysoker 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 Alec Wysoker. Alec Wysoker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 70 | |
| 3 | 1 | |
| 4 | Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changesbreakdown → | 1359 |
| 5 | Molecular Diversity and Specializations among the Cells of the Adult Mouse Brainbreakdown → | 943 |
| 6 | 332 | |
| 7 | 18 | |
| 8 | The Sequence Alignment/Map format and SAMtoolsbreakdown → | 39714 |
| 9 | Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVsbreakdown → | 507 |
| 10 | 4 |
About Alec Wysoker
Alec Wysoker is a scholar working on Biophysics, Developmental Neuroscience and Neurology, having authored 10 papers that have together received 43.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Cell Image Analysis Techniques (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Genetics (11.6k citations), Molecular Biology (24.3k citations) and Cancer Research (4.3k citations). Alec Wysoker has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Heng Li, Robert E. Handsaker, Gonçalo R. Abecasis, Jue Ruan, Gábor Marth, Tim Fennell, Richard Durbin, Nils Homer, Steven A. McCarroll and James Nemesh. Their work appears in journals such as Nature, Cell and Nature Communications.
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.