Christopher Siatskas
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- RNA Interference and Gene Delivery 4
- Genetics 12
- Virus-based gene therapy research 11
- Mesenchymal stem cell research 10
- Co-authors
- Natalie L. Payne (13 shared papers)Claude C.A. Bernard (16 shared papers)Guizhi Sun (8 shared papers)Courtney McDonald (6 shared papers)Richard L. Boyd (5 shared papers)Leon Moussa (5 shared papers)Jeffrey A. Medin (10 shared papers)Daniella Herszfeld (4 shared papers)
- Journals
- Molecular Therapy (3 papers)PLoS ONE (3 papers)Current Stem Cell Research & Therapy (2 papers)ACS Chemical Biology (1 paper)Blood (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Christopher Siatskas
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Developmental Neuroscience 161
- Genetics 392
- Immunology 324
- Neurology 62
- Molecular Biology 481
Countries citing papers authored by Christopher Siatskas
This map shows the geographic impact of Christopher Siatskas'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 Christopher Siatskas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Siatskas more than expected).
Fields of papers citing papers by Christopher Siatskas
This network shows the impact of papers produced by Christopher Siatskas. 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 Christopher Siatskas. The network helps show where Christopher Siatskas may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Siatskas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 128 | |
| 2 | 2013 | 127 | |
| 3 | 2014 | 107 | |
| 4 | 2006 | 105 | |
| 5 | 2012 | 102 | |
| 6 | 2013 | 80 | |
| 7 | 2013 | 76 | |
| 8 | 2015 | 66 | |
| 9 | 2012 | 64 | |
| 10 | 2013 | 51 | |
| 11 | 2006 | 48 | |
| 12 | 2008 | 41 | |
| 13 | 2011 | 32 | |
| 14 | 2010 | 29 | |
| 15 | 2000 | 26 | |
| 16 | 2003 | 25 | |
| 17 | 2006 | 25 | |
| 18 | 2005 | 25 | |
| 19 | 2016 | 22 | |
| 20 | 2011 | 22 |
About Christopher Siatskas
Christopher Siatskas is a scholar working on Molecular Biology, Genetics, Immunology, Genetics and Developmental Neuroscience, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Mesenchymal stem cell research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Developmental Neuroscience (161 citations), Genetics (392 citations), Immunology (324 citations), Neurology (62 citations) and Molecular Biology (481 citations). Christopher Siatskas has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Natalie L. Payne, Claude C.A. Bernard, Guizhi Sun, Courtney McDonald, Richard L. Boyd, Leon Moussa, Jeffrey A. Medin, Daniella Herszfeld, Steven Petratos and T.M. Williams. Their work appears in journals such as Molecular Therapy, PLoS ONE, Current Stem Cell Research & Therapy, ACS Chemical Biology and Blood.
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.