Sarah Schock

1.1k citations
29 papers · 880 · h-index 14

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Sarah Schock

28 papers receiving 870 citations

Peers

Sarah Schock
Comparison fields: 5 of 87
  • Physiology 55
  • Neurology 92
  • Endocrine and Autonomic Systems 67
  • Cellular and Molecular Neuroscience 132
  • Molecular Biology 422
Replace Ramasri Sathanoori with:
Ramasri Sathanoori Sweden
Weiwei Hou China
Wenqin Cai China
Kwok‐Kuen Cheung Hong Kong
Xinzhen Yin China
Agnieszka Dejda Canada
Rocío Pérez‐González Spain
Atsushi Mori Japan
Ivana Novaković Serbia
Jonathan B. Lin United States
Sarah Schock relative to Ramasri Sathanoori Sweden Ramasri Sathanoori's profile →
Citations per field
00.5×1.5×2.3×
Ramasri Sathanoori · 1×
Citations per year

Countries citing papers authored by Sarah Schock

Since Specialization
Citations

This map shows the geographic impact of Sarah Schock'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 Sarah Schock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Schock more than expected).

Fields of papers citing papers by Sarah Schock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Schock. 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 Sarah Schock. The network helps show where Sarah Schock may publish in the future.

Co-authors

The 25 scholars most cited alongside Sarah Schock, 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 Sarah Schock Line = papers co-authored together Sarah Schock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012290
2 200899
3 200783
4 201647
5 200840
6 201636
7 200735
8 201531
9 201728
10 201421
11 201618
12 200916
13 201515
14 201214
15 201613
16 201112
17 201711
18 202011
19 201511
20 201811

About Sarah Schock

Sarah Schock is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cancer Research and Behavioral Neuroscience, having authored 29 papers that have together received 880 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), MicroRNA in disease regulation (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (3 papers), Bioinformatics and Genomic Networks (3 papers), Stress Responses and Cortisol (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (55 citations), Neurology (92 citations), Endocrine and Autonomic Systems (67 citations), Cellular and Molecular Neuroscience (132 citations) and Molecular Biology (422 citations). Sarah Schock has collaborated with scholars based in Canada, Japan and United Kingdom. Frequent co-authors include Charlie S. Thompson, Antoine M. Hakim, Dylan Burger, Augusto C. Montezano, Rhian M. Touyz, Danielle Leblanc, Fabio Variola, Hsiao‐Huei Chen, Patricia B. de la Tremblaye and Hélène Plamondon. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications, Neurogastroenterology & Motility, npj Genomic Medicine and Journal of Veterinary Medical Education.

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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