Christopher Siatskas

1.6k citations
39 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Christopher Siatskas

39 papers receiving 1.3k citations

Peers

Christopher Siatskas
Comparison fields: 5 of 89
  • Developmental Neuroscience 160
  • Genetics 407
  • Immunology 343
  • Neurology 68
  • Cellular and Molecular Neuroscience 129
Replace Natalie L. Payne with:
Natalie L. Payne Australia
Jonathan L. McQualter Australia
Manuela Gavina Italy
Moutih Rafei Canada
Manae S. Kurokawa Japan
Olivier Preynat‐Seauve Switzerland
Lianhua Bai China
Monika Dohse United States
Helena Kupcová Skalníková Czechia
Lianhong Jin China
Christopher Siatskas relative to Natalie L. Payne Australia Natalie L. Payne's profile →
Citations per field
00.5×1.5×1.8×
Natalie L. Payne · 1×
Citations per year

Countries citing papers authored by Christopher Siatskas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher Siatskas Line = papers co-authored together Christopher Siatskas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 2014118
3 2014106
4 2006100
5 201296
6 201380
7 201374
8 201563
9 201259
10 201349
11 200643
12 200837
13 201028
14 201126
15 200524
16 200024
17 200323
18 200621
19 202221
20 201619

About Christopher Siatskas

Christopher Siatskas is a scholar working on Developmental Neuroscience, Genetics, Immunology, Neurology and Genetics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Virus-based gene therapy research (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (160 citations), Genetics (407 citations), Immunology (343 citations), Neurology (68 citations) and Cellular and Molecular Neuroscience (129 citations). Christopher Siatskas has collaborated with scholars based in Australia, Canada and United States. 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, Chrishan S. Samuel and Andrea F. Wise. Their work appears in journals such as Molecular Therapy, PLoS ONE, Current Stem Cell Research & Therapy, Scientific Reports and Brain 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.

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