Sandra Siegert

2.6k citations
27 papers · 2k · h-index 13

Impact in

Papers in

Sandra Siegert

26 papers receiving 2k citations

Peers

Sandra Siegert
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 549
  • Endocrine and Autonomic Systems 126
  • Neurology 157
  • Developmental Neuroscience 46
  • Cognitive Neuroscience 290
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Tomomi Aida Japan
Marcelo Cicconet United States
Camin Dean Germany
Hsiao-Tuan Chao United States
Ken Y. Chan United States
Zhonghua Lu China
Jason N. Aoto United States
Maureen A. McCall United States
Hannah L. Bernstein United States
Richard Rueda United States
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Citations per field
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Citations per year

Countries citing papers authored by Sandra Siegert

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Siegert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010524
2 2009276
3 2012215
4 2015187
5 2007163
6 2009161
7 2019106
8 201596
9 202192
10 201554
11 202249
12 202217
13 202216
14 202313
15 202110
16 20058
17 20065
18 20235
19 20164
20 20213

About Sandra Siegert

Sandra Siegert is a scholar working on Neurology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cancer Research, having authored 27 papers that have together received 2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Retinal Development and Disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Schizophrenia research and treatment (4 papers), MicroRNA in disease regulation (3 papers), Virus-based gene therapy research (3 papers), Pluripotent Stem Cells Research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (549 citations), Endocrine and Autonomic Systems (126 citations), Neurology (157 citations), Developmental Neuroscience (46 citations) and Cognitive Neuroscience (290 citations). Sandra Siegert has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Botond Roska, Tim J. Viney, Li‐Huei Tsai, Alison E. Mungenast, Erik Cabuy, Brigitte Gross Scherf, Gautam Bhagwan Awatramani, Thomas A. Münch, Rava Azeredo da Silveira and Gloria Colombo. Their work appears in journals such as Nature Neuroscience, Investigative Ophthalmology & Visual Science, iScience, Nature Biotechnology and Nature 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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