Luke Zappia
- Molecular Biology top 2%
- Cancer Research top 5%
- Immunology top 5%
- Biophysics top 0.5%
- Oncology top 10%
- Co-authors
- Alicia OshlackBelinda PhipsonXueyi DongShian SuQuentin GouilShanika L. AmarasingheMatthew E. RitchieFabian J. Theis
- Topics
- Single-cell and spatial transcriptomics (13 papers)Cancer Genomics and Diagnostics (7 papers)Pluripotent Stem Cells Research (5 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Luke Zappia
40 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.8k
- Cancer Research 618
- Immunology 438
- Biophysics 351
- Oncology 338
Countries citing papers authored by Luke Zappia
This map shows the geographic impact of Luke Zappia'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 Luke Zappia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Zappia more than expected).
Fields of papers citing papers by Luke Zappia
This network shows the impact of papers produced by Luke Zappia. 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 Luke Zappia. The network helps show where Luke Zappia may publish in the future.
Co-authorship network of co-authors of Luke Zappia
This figure shows the co-authorship network connecting the top 25 collaborators of Luke Zappia. A scholar is included among the top collaborators of Luke Zappia 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 Luke Zappia. Luke Zappia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 34 | |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 13 | |
| 7 | Benchmarking atlas-level data integration in single-cell genomicsbreakdown → | 544 |
| 8 | 92 | |
| 9 | 17 | |
| 10 | Opportunities and challenges in long-read sequencing data analysisbreakdown → | 865 |
| 11 | 145 | |
| 12 | Clustering trees: a visualization for evaluating clusterings at multiple resolutionsbreakdown → | 432 |
| 13 | 178 | |
| 14 | 183 | |
| 15 | 159 | |
| 16 | Online water quality monitoring: The voice of experience | 2 |
| 17 | Investigation of the persistence and degradability of chlorophenol and chlorophenoxy acids in groundwater | 1 |
| 18 | 39 | |
| 19 | Determination of the potential for natural and enhanced biotransformation of munition compounds contaminating groundwater in a fractured basalt aquifer. | 1 |
| 20 | 16 |
About Luke Zappia
Luke Zappia is a scholar working on Pollution, Cancer Research and Health, Toxicology and Mutagenesis, having authored 43 papers that have together received 3.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Cancer Genomics and Diagnostics (7 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Biophysics (351 citations), Cancer Research (618 citations) and Molecular Biology (2.8k citations). Luke Zappia has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Alicia Oshlack, Belinda Phipson, Xueyi Dong, Shian Su, Quentin Gouil, Shanika L. Amarasinghe, Matthew E. Ritchie, Fabian J. Theis, Alexander N. Combes and Melissa H. Little. Their work appears in journals such as Development, Water Research and Nature Methods.
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.