Christopher Siatskas

1.6k citations
38 papers · 1.4k · h-index 21

Impact in

Papers in

Christopher Siatskas

38 papers receiving 1.3k citations

Peers

Christopher Siatskas
Comparison fields: 5 of 89
  • Developmental Neuroscience 163
  • Genetics 394
  • Immunology 324
  • Neurology 61
  • Molecular Biology 489
Replace Natalie L. Payne with:
Natalie L. Payne Australia
Hongye Liu China
E. Corsini Italy
Manae Suzuki Kurokawa Japan
Helena Kupcová Skalníková Czechia
Dalia Waldman Israel
Wei Zhu China
Mahdia Benkhoucha Switzerland
Alexander Goihl Germany
Elena Removna Chernykh Russia
Christopher Siatskas relative to Natalie L. Payne Australia Natalie L. Payne's profile →
Citations per field
00.5×1.5×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 2013128
3 2014109
4 2006105
5 2012104
6 201381
7 201375
8 201565
9 201264
10 201352
11 200648
12 200841
13 201132
14 201029
15 200326
16 200525
17 200025
18 200624
19 201123
20 201623

About Christopher Siatskas

Christopher Siatskas is a scholar working on Developmental Neuroscience, Genetics, Immunology, Genetics and Neurology, having authored 38 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), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Developmental Neuroscience (163 citations), Genetics (394 citations), Immunology (324 citations), Neurology (61 citations) and Molecular Biology (489 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 A. McDonald, Richard L. Boyd, Leon Moussa, Jeffrey A. Medin, Chrishan S. Samuel, Mensiena B. G. Kiewiet and Daniella Herszfeld. Their work appears in journals such as Molecular Therapy, Current Stem Cell Research & Therapy, PLoS ONE, ACS Chemical Biology and Gene Therapy.

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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