Eva M. Schmid
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Molecular Biology top 10%
- 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
- Cell Biology 12
- Cellular transport and secretion 11
- Co-authors
- Harvey T. McMahon (5 shared papers)Daniel A. Fletcher (11 shared papers)Jeanne C. Stachowiak (3 shared papers)Phillip L. Geissler (3 shared papers)Carl C. Hayden (2 shared papers)Christopher Ryan (2 shared papers)Darryl Y. Sasaki (2 shared papers)Michael B. Sherman (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)Traffic (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eva M. Schmid
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 799
- Molecular Biology 1.3k
- Immunology and Allergy 66
- Physiology 39
- Immunology 164
Countries citing papers authored by Eva M. Schmid
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 419 | |
| 2 | 2007 | 273 | |
| 3 | 2006 | 199 | |
| 4 | 2011 | 159 | |
| 5 | 2004 | 149 | |
| 6 | 2018 | 107 | |
| 7 | 2016 | 91 | |
| 8 | 2021 | 34 | |
| 9 | 2018 | 31 | |
| 10 | 1993 | 29 | |
| 11 | 2007 | 29 | |
| 12 | 2015 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2007 | 25 | |
| 15 | 2020 | 21 | |
| 16 | 2003 | 14 | |
| 17 | 2006 | 14 | |
| 18 | 1978 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2012 | 1 |
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), Phagocytosis and Immune Regulation (2 papers), Virus-based gene therapy research (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (799 citations), Molecular Biology (1.3k citations), Immunology and Allergy (66 citations), Physiology (39 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, Carl C. Hayden, Christopher Ryan, Darryl Y. Sasaki, Michael B. Sherman, 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, The Journal of Cell Biology, Traffic and FEBS Letters.
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.