Dorothee Schmid
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
Papers in
- Virology 3
- HIV Research and Treatment 3
-
- Toxoplasma gondii Research Studies 3
- Co-authors
- Christian MünzMarc PypaertCasper PaludanThomas TuschlDieter KubeMarkus LandthalerMartina VockerodtWilliam A. Müller
- Journals
- Immunity (2 papers)Autophagy (1 paper)Virus Research (1 paper)Science (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Dorothee Schmid
13 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 1.1k
- Physiology 210
- Epidemiology 1.4k
- Virology 184
- Parasitology 250
Countries citing papers authored by Dorothee Schmid
This map shows the geographic impact of Dorothee 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 Dorothee Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorothee Schmid more than expected).
Fields of papers citing papers by Dorothee Schmid
This network shows the impact of papers produced by Dorothee 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 Dorothee Schmid. The network helps show where Dorothee Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Dorothee 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | The FGF7 and Noggin Genes are Key Targets to Treat Hair Loss | 2013 | 3 |
| 3 | 2008 | 10 | |
| 4 | 2008 | 17 | |
| 5 | 2007 | 99 | |
| 6 | 2007 | 11 | |
| 7 | 2007 | 353 | |
| 8 | 2007 | 28 | |
| 9 | 2006 | 102 | |
| 10 | Antigen-Loading Compartments for Major Histocompatibility Complex Class II Molecules Continuously Receive Input from Autophagosomes Hit paper breakdown → | 2006 | 537 |
| 11 | 2005 | 31 | |
| 12 | Endogenous MHC Class II Processing of a Viral Nuclear Antigen After Autophagy Hit paper breakdown → | 2004 | 674 |
| 13 | 2004 | 437 | |
| 14 | 1992 | 4 |
About Dorothee Schmid
Dorothee Schmid is a scholar working on Virology, Parasitology, Immunology, Epidemiology and Urology, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Immune Cell Function and Interaction (8 papers), HIV Research and Treatment (3 papers), Toxoplasma gondii Research Studies (3 papers), Immunotherapy and Immune Responses (2 papers), Mosquito-borne diseases and control (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers) and Hair Growth and Disorders (1 paper). The work is most often cited by research in Immunology (1.1k citations), Physiology (210 citations), Epidemiology (1.4k citations), Virology (184 citations) and Parasitology (250 citations). Dorothee Schmid has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Christian Münz, Marc Pypaert, Casper Paludan, Thomas Tuschl, Dieter Kube, Markus Landthaler, Martina Vockerodt, William A. Müller, Maggi Pack and Lorenzo Moretta. Their work appears in journals such as Immunity, Autophagy, Virus Research, Science and The FASEB Journal.
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.