Sarah Knippenberg

753 citations
19 papers · 647 · h-index 15

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Mesenchymal stem cell research

Papers in

    • Amyotrophic Lateral Sclerosis Research 10
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurogenetic and Muscular Disorders Research 5

Sarah Knippenberg

19 papers receiving 628 citations

Peers

Sarah Knippenberg
Comparison fields: 5 of 66
  • Neurology 299
  • Genetics 186
  • Developmental Neuroscience 46
  • Neurology 51
  • Cellular and Molecular Neuroscience 108
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Sarah Knippenberg relative to Hisashi Narai Japan Hisashi Narai's profile →
Citations per field
00.5×2×3.3×
Hisashi Narai · 1×
Citations per year

Countries citing papers authored by Sarah Knippenberg

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Knippenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201291
2 201582
3 201077
4 201359
5 201253
6 201142
7 201437
8 201633
9 201231
10 201228
11 201323
12 201522
13
In vivo MRI of intraspinally injected SPIO-labelled human CD34+ cells in a transgenic mouse model of ALS.
201221
14 202020
15 201516
16 20135
17 20215
18 20081
19 20081

About Sarah Knippenberg

Sarah Knippenberg is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Neurology and Biomaterials, having authored 19 papers that have together received 647 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Prenatal Screening and Diagnostics (2 papers), Nerve injury and regeneration (2 papers), biodegradable polymer synthesis and properties (2 papers), Immune Response and Inflammation (2 papers) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Neurology (299 citations), Genetics (186 citations), Developmental Neuroscience (46 citations), Neurology (51 citations) and Cellular and Molecular Neuroscience (108 citations). Sarah Knippenberg has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Susanne Petri, Reinhard Dengler, Nadine Thau, Sonja Körner, Klaus Jan Rath, Thomas Brinker, Tobias Welte, Ralf Hass, D Jonigk and Valéry Daubie. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Clinical Neurology and Neurosurgery, Behavioural Brain Research, Stem Cells Translational Medicine and Archives of Gynecology and Obstetrics.

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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