Lea Gerischer

1.3k citations
24 papers · 356 · h-index 8

Impact in

  • Neurology top 10%
    • Myasthenia Gravis and Thymoma
    • Peripheral Neuropathies and Disorders
    • Parkinson's Disease and Spinal Disorders
    • Autoimmune Neurological Disorders and Treatments
    • Ultrasound Imaging and Elastography

Papers in

Lea Gerischer

23 papers receiving 349 citations

Peers

Lea Gerischer
Comparison fields: 5 of 59
  • Neurology 164
  • Radiology, Nuclear Medicine and Imaging 58
  • Cellular and Molecular Neuroscience 23
  • Epidemiology 36
  • Neurology 8
Replace Andrew R. Stevens with:
Andrew R. Stevens United Kingdom
Byung‐Euk Joo South Korea
Berna Özkan Türkiye
Elliot L. Dimberg United States
Nobuaki Yamamoto Japan
Sylwia Tarka Poland
Florian Schuchardt Germany
Ronit Yagev Israel
Zoë R. Williams United States
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Citations per field
00.5×5.3×
Andrew R. Stevens · 1×
Citations per year

Countries citing papers authored by Lea Gerischer

Since Specialization
Citations

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

Fields of papers citing papers by Lea Gerischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 201783
3 201129
4 202128
5 201826
6 201324
7 201415
8 20168
9 20247
10 20257
11 20225
12 20244
13 20114
14 20233
15 20243
16 20242
17 20252
18 20242
19 20162
20 20241

About Lea Gerischer

Lea Gerischer is a scholar working on Neurology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 356 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (13 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Complement system in diseases (2 papers), Acute Ischemic Stroke Management (2 papers), Ultrasound Imaging and Elastography (1 paper), Alzheimer's disease research and treatments (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Neurology (164 citations), Radiology, Nuclear Medicine and Imaging (58 citations), Cellular and Molecular Neuroscience (23 citations), Epidemiology (36 citations) and Neurology (8 citations). Lea Gerischer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ulrike Grittner, Andreas Meisel, Sarah Hoffmann, Theresa Köbe, Sophie Lehnerer, Agnes Flöel, Frauke Stascheit, Christian H. Nolte, Heinrich J. Audebert and Andreas Fehlner. Their work appears in journals such as Frontiers in Neurology, Journal of Neurology, The Journal of Prevention of Alzheimer s Disease, NeuroImage Clinical and Journal of Autoimmunity.

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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