Eva M. Schmid

2.3k citations
21 papers · 1.7k · h-index 15

Impact in

    • Cellular transport and secretion
    • Lipid Membrane Structure and Behavior
    • Glycosylation and Glycoproteins Research
    • RNA Interference and Gene Delivery
    • Receptor Mechanisms and Signaling

Papers in

    • Lipid Membrane Structure and Behavior 10
    • Photosynthetic Processes and Mechanisms 2
    • RNA and protein synthesis mechanisms 2
    • Cellular transport and secretion 11

Eva M. Schmid

21 papers receiving 1.7k citations

Peers

Eva M. Schmid
Comparison fields: 5 of 93
  • Cell Biology 791
  • Molecular Biology 1.3k
  • Immunology and Allergy 66
  • Physiology 38
  • Immunology 164
Replace Valérie Chambon with:
Valérie Chambon France
Pranav Sharma United States
Stella M. Hurtley United Kingdom
Richard Lundmark Sweden
Rahul Chadda United States
Sudeep Banjade United States
Kyoko Hanawa‐Suetsugu Japan
Karine Gousset United States
Bruno Pontes Brazil
Adam T. Hammond United States
Eva M. Schmid relative to Valérie Chambon France Valérie Chambon's profile →
Citations per field
00.5×1.5×
Valérie Chambon · 1×
Citations per year

Countries citing papers authored by Eva M. Schmid

Since Specialization
Citations

This map shows the geographic impact of Eva M. 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 M. 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 M. Schmid more than expected).

Fields of papers citing papers by Eva M. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012421
2 2007274
3 2006201
4 2011159
5 2004150
6 2018110
7 201692
8 202136
9 201831
10 200729
11 199329
12 201528
13 202027
14 200725
15 202021
16 200314
17 200614
18 197813
19 201711
20 20251

About Eva M. Schmid

Eva M. Schmid is a scholar working on Molecular Biology, Cell Biology, Physiology, Cardiology and Cardiovascular Medicine and Immunology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Lipid Membrane Structure and Behavior (10 papers), Erythrocyte Function and Pathophysiology (4 papers), Viral Infections and Immunology Research (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Cell Biology (791 citations), Molecular Biology (1.3k citations), Immunology and Allergy (66 citations), Physiology (38 citations) and Immunology (164 citations). Eva M. Schmid has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Harvey T. McMahon, Daniel A. Fletcher, Jeanne C. Stachowiak, Phillip L. Geissler, Michael B. Sherman, Darryl Y. Sasaki, Carl C. Hayden, Christopher Ryan, Marijn G. J. Ford and Gerrit J. K. Praefcke. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Cell Reports and Cell.

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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