Sylvia Eisele

1.1k citations
12 papers · 867 · h-index 10

Impact in

Papers in

Sylvia Eisele

12 papers receiving 851 citations

Peers

Sylvia Eisele
Comparison fields: 5 of 80
  • Cancer Research 375
  • Developmental Neuroscience 62
  • Neurology 113
  • Neurology 113
  • Genetics 79
Replace Claudio Maderna with:
Claudio Maderna Italy
Jana Schlechter Germany
Vasiliki Mahairaki United States
Jadranka Macas Germany
Ryan C. Winger United States
Luke Oh United States
Malkiel A. Cohen United States
Mark D. Borromeo United States
Yoshiaki Takamiya Japan
Ghayda Mirzaa United States
Sylvia Eisele relative to Claudio Maderna Italy Claudio Maderna's profile →
Citations per field
00.5×1.5×
Claudio Maderna · 1×
Citations per year

Countries citing papers authored by Sylvia Eisele

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Eisele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009479
2 2010122
3 201272
4 201658
5 201338
6 201630
7 201026
8 201220
9 200611
10
Pairing previously singly caged rhesus monkeys does not interfere with common research protocols.
19899
11 20131
12
Extracellular matrix in multiple sclerosis lesions: Induction of fibrillar collagens, biglycan, and decorin in association with infiltrating immune cells
20081

About Sylvia Eisele

Sylvia Eisele is a scholar working on Molecular Biology, Neurology, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 867 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (2 papers), Glycosylation and Glycoproteins Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Glioma Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers), MicroRNA in disease regulation (1 paper), Colorectal Cancer Surgical Treatments (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (375 citations), Developmental Neuroscience (62 citations), Neurology (113 citations), Neurology (113 citations) and Genetics (79 citations). Sylvia Eisele has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Hans Lassmann, Markus Krumbholz, Edgar Meinl, Andreas Junker, Reinhard Hohlfeld, Hema Mohan, Hartmut Wekerle, Robert A. Bittner, Patrick Y. Wen and Eudocia Q. Lee. Their work appears in journals such as Neurosurgical FOCUS, Brain Pathology, Cancer, Acta Radiologica and Brain.

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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