Eva Schramm

995 total citations · 1 hit paper
5 papers, 698 citations indexed

About

Eva Schramm is a scholar working on Neurology, Immunology and Infectious Diseases. According to data from OpenAlex, Eva Schramm has authored 5 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Eva Schramm's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (2 papers) and Stress Responses and Cortisol (1 paper). Eva Schramm is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune cells in cancer (2 papers) and Stress Responses and Cortisol (1 paper). Eva Schramm collaborates with scholars based in Germany, Australia and Ireland. Eva Schramm's co-authors include Stefanie M. Brendecke, Olaf Groß, Özgün Çiçek, Thorsten Falk, Nora Hagemeyer, Dominic Mai, Marta Joana Costa Jordão, Martin Kerschensteiner, Dominic Grün and Marco Prinz and has published in prestigious journals such as Science, Journal of Molecular Medicine and Basic Research in Cardiology.

In The Last Decade

Eva Schramm

5 papers receiving 696 citations

Hit Papers

Single-cell profiling identifies myeloid cell subsets wit... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Eva Schramm
Comparison fields: 5 of 72
  • Neurology 472
  • Immunology 346
  • Molecular Biology 163
  • Biological Psychiatry 84
  • Developmental Neuroscience 79
Replace Anto Pavlovic with:
Anto Pavlovic Switzerland
Hilmar R. J. van Weering Netherlands
Wiebke Mildenberger Switzerland
Tommaso Croese Israel
Ayal Ronen Israel
Adam D. Kovac Germany
Aditya Rayasam United States
Elly J. F. Vereyken Netherlands
Ellen R. Gillespie Australia
Maria C. J. Vincenten Netherlands
Anto Pavlovic Switzerland View profile →
Citations per field, relative to Eva Schramm
Eva Schramm · 1×
Citations per year, relative to Eva Schramm
Eva Schramm · 1×

Countries citing papers authored by Eva Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Schramm

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Schramm. A scholar is included among the top collaborators of Eva Schramm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Schramm. Eva Schramm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 1
2 59
3 27
4
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation breakdown →
584
5 27

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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