Michael Cancilla
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Cell death mechanisms and regulation
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 3
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
- Genetics 7
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Vivien R. Sutton (2 shared papers)Joseph A. Trapani (2 shared papers)Felipa Mapa (1 shared paper)Kathleen B. McKusick (1 shared paper)Kathryn A. Swan (1 shared paper)A. Voinov (1 shared paper)Richard Saffery (4 shared papers)B E Davidson (4 shared papers)
- Journals
- Gene (2 papers)Microbiology (2 papers)Nature Genetics (2 papers)Genome Research (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Michael Cancilla
16 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Aging 65
- Molecular Biology 1.3k
- Immunology 359
- Plant Science 615
- Genetics 404
Countries citing papers authored by Michael Cancilla
This map shows the geographic impact of Michael Cancilla'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 Michael Cancilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cancilla more than expected).
Fields of papers citing papers by Michael Cancilla
This network shows the impact of papers produced by Michael Cancilla. 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 Michael Cancilla. The network helps show where Michael Cancilla may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Cancilla, 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 | 2002 | 388 | |
| 2 | 2000 | 305 | |
| 3 | 1997 | 277 | |
| 4 | 2001 | 252 | |
| 5 | 1998 | 202 | |
| 6 | 2003 | 138 | |
| 7 | 1992 | 90 | |
| 8 | 2001 | 63 | |
| 9 | 2000 | 42 | |
| 10 | 1995 | 36 | |
| 11 | 2000 | 35 | |
| 12 | 1998 | 32 | |
| 13 | 1995 | 28 | |
| 14 | 1997 | 24 | |
| 15 | 2015 | 14 | |
| 16 | 1995 | 14 |
About Michael Cancilla
Michael Cancilla is a scholar working on Molecular Biology, Genetics, Plant Science, Epidemiology and Physiology, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), CRISPR and Genetic Engineering (3 papers), NF-κB Signaling Pathways (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Aging (65 citations), Molecular Biology (1.3k citations), Immunology (359 citations), Plant Science (615 citations) and Genetics (404 citations). Michael Cancilla has collaborated with scholars based in Australia and United States. Frequent co-authors include Vivien R. Sutton, Joseph A. Trapani, Felipa Mapa, Kathleen B. McKusick, Kathryn A. Swan, A. Voinov, Richard Saffery, B E Davidson, Alan J. Hillier and K. H. Andy Choo. Their work appears in journals such as Gene, Microbiology, Nature Genetics, Genome Research and The Journal of Cell Biology.
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.