William M. Mauck
- Molecular Biology top 0.5%
- Immunology top 0.5%
- Cancer Research top 1%
- Oncology top 2%
- Genetics top 5%
- Co-authors
- Rahul SatijaPeter SmibertMarlon StoeckiusAndrew ButlerYuhan HaoEfthymia PapalexiTim StuartPaul Hoffman
- Topics
- Genetic diversity and population structure (9 papers)Single-cell and spatial transcriptomics (5 papers)Plant and animal studies (5 papers)
- Cited by
- ImmunologyBiophysicsCancer Research
- Journals
- NatureCellNature Genetics
- Partner nations
- United StatesBrazilPhilippines
In The Last Decade
William M. Mauck
24 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 6.1k
- Immunology 2.8k
- Cancer Research 1.3k
- Oncology 1.3k
- Genetics 697
Countries citing papers authored by William M. Mauck
This map shows the geographic impact of William M. Mauck'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 William M. Mauck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Mauck more than expected).
Fields of papers citing papers by William M. Mauck
This network shows the impact of papers produced by William M. Mauck. 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 William M. Mauck. The network helps show where William M. Mauck may publish in the future.
Co-authorship network of co-authors of William M. Mauck
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Mauck. A scholar is included among the top collaborators of William M. Mauck 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 William M. Mauck. William M. Mauck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 47 | |
| 3 | 19 | |
| 4 | 104 | |
| 5 | 28 | |
| 6 | 38 | |
| 7 | 88 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 62 | |
| 11 | 56 | |
| 12 | Comprehensive Integration of Single-Cell Databreakdown → | 7937 |
| 13 | 18 | |
| 14 | Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomicsbreakdown → | 552 |
| 15 | 9 | |
| 16 | 46 | |
| 17 | 40 | |
| 18 | 85 | |
| 19 | 94 | |
| 20 | 3 |
About William M. Mauck
William M. Mauck is a scholar working on Ecological Modeling, Paleontology and Genetics, having authored 24 papers that have together received 9.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Single-cell and spatial transcriptomics (5 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Immunology (2.8k citations), Biophysics (528 citations) and Cancer Research (1.3k citations). William M. Mauck has collaborated with scholars based in United States, Brazil and Philippines. Frequent co-authors include Rahul Satija, Peter Smibert, Marlon Stoeckius, Andrew Butler, Yuhan Hao, Efthymia Papalexi, Tim Stuart, Paul Hoffman, Christoph Hafemeister and Bertrand Z. Yeung. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.