Eva-Maria Schmid

540 citations
8 papers · 423 · h-index 7

Impact in

  • Neurology top 5%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Protein purification and stability 1
    • Isotope Analysis in Ecology 2

Eva-Maria Schmid

8 papers receiving 414 citations

Peers

Eva-Maria Schmid
Comparison fields: 5 of 102
  • Neurology 197
  • Immunology and Allergy 19
  • Oncology 73
  • Biological Psychiatry 6
  • Pediatrics, Perinatology and Child Health 42
Replace Loredana Lorusso with:
Loredana Lorusso Italy
Yao Zhao China
Christian Runge Austria
Catherine Delano Smith United Kingdom
Austin I. McDonald United States
Nicole Keller France
Guanghui Ge United States
H. C. Peters Canada
Bethany Winans United States
Wenjun Song United States
Eva-Maria Schmid relative to Loredana Lorusso Italy Loredana Lorusso's profile →
Citations per field
00.5×4.5×
Loredana Lorusso · 1×
Citations per year

Countries citing papers authored by Eva-Maria Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Eva-Maria Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva-Maria Schmid. 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 Eva-Maria Schmid. The network helps show where Eva-Maria Schmid may publish in the future.

Co-authors

The 16 scholars most cited alongside Eva-Maria Schmid, 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 Eva-Maria Schmid Line = papers co-authored together Eva-Maria Schmid links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1994288
2 200243
3 201525
4 199020
5 200120
6 202013
7 19979
8 20195

About Eva-Maria Schmid

Eva-Maria Schmid is a scholar working on Molecular Biology, Ecology, Neurology, Pediatrics, Perinatology and Child Health and Biomaterials, having authored 8 papers that have together received 423 indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Protein purification and stability (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Membrane Separation Technologies (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Neurology (197 citations), Immunology and Allergy (19 citations), Oncology (73 citations), Biological Psychiatry (6 citations) and Pediatrics, Perinatology and Child Health (42 citations). Eva-Maria Schmid has collaborated with scholars based in Germany and Australia. Frequent co-authors include Hartwig Wolburg, Uwe Kniesel, Mücella Öcalan, Jochen Neuhaus, Werner Risau, Heike Knicker, Ingrid Kögel‐Knabner, Bruno Glaser, J. O. Skjemstad and Rupert Bäumler. Their work appears in journals such as Journal of Cell Science, Membranes, MethodsX, Soil Science and Geoderma.

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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