Cornelia Garz

865 citations
28 papers · 613 · h-index 15

Impact in

  • Neurology top 5%
    • Neurological Disease Mechanisms and Treatments
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Cerebrovascular and genetic disorders
    • Barrier Structure and Function Studies
    • Alzheimer's disease research and treatments

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 12
    • Amyotrophic Lateral Sclerosis Research 9
    • Neurological Disease Mechanisms and Treatments 7
    • Barrier Structure and Function Studies 6
    • Cerebrovascular and genetic disorders 6
    • Acute Ischemic Stroke Management 7

Cornelia Garz

27 papers receiving 613 citations

Peers

Cornelia Garz
Comparison fields: 5 of 68
  • Neurology 236
  • Neurology 288
  • Physiology 162
  • Genetics 64
  • Psychiatry and Mental health 70
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Citations per field
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Citations per year

Countries citing papers authored by Cornelia Garz

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Garz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013107
2 201164
3 201850
4 201445
5 201743
6 201743
7 201828
8 201428
9 201225
10 201922
11 201121
12 201418
13 201318
14 202016
15 202216
16 201613
17 202012
18 20189
19 20136
20 20206

About Cornelia Garz

Cornelia Garz is a scholar working on Neurology, Neurology, Epidemiology, Physiology and Genetics, having authored 28 papers that have together received 613 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (12 papers), Amyotrophic Lateral Sclerosis Research (9 papers), Alzheimer's disease research and treatments (7 papers), Acute Ischemic Stroke Management (7 papers), Neurological Disease Mechanisms and Treatments (7 papers), Barrier Structure and Function Studies (6 papers), Cerebrovascular and genetic disorders (6 papers) and Dementia and Cognitive Impairment Research (5 papers). The work is most often cited by research in Neurology (236 citations), Neurology (288 citations), Physiology (162 citations), Genetics (64 citations) and Psychiatry and Mental health (70 citations). Cornelia Garz has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Stefanie Schreiber, Celine Zoe Bueche, Holger Braun, Hans‐Jochen Heinze, Klaus G. Reymann, Roxana O. Carare, Stefan Vielhaber, Frank Schreiber, Michael Goertler and Siegfried Kropf. Their work appears in journals such as Clinical Neurophysiology, Journal of Neurology, Brain Pathology, Journal of Alzheimer s Disease and Muscle & Nerve.

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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