Susanne Schiffmann
Impact in
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Inflammatory mediators and NSAID effects 7
- Virology 4
- Co-authors
- Gerd GeißlingerSabine GröschThorsten J. MaierNerea FerreirósMichael J. ParnhamKerstin BirodDaniela HartmannJennifer Kurz
- Journals
- Biochemical Pharmacology (6 papers)International Journal of Molecular Sciences (5 papers)Scientific Reports (3 papers)The International Journal of Biochemistry & Cell Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Susanne Schiffmann
80 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.2k
- Biochemistry 224
- Cell Biology 431
- Pharmacology 442
- Neurology 147
Countries citing papers authored by Susanne Schiffmann
This map shows the geographic impact of Susanne Schiffmann'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 Susanne Schiffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Schiffmann more than expected).
Fields of papers citing papers by Susanne Schiffmann
This network shows the impact of papers produced by Susanne Schiffmann. 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 Susanne Schiffmann. The network helps show where Susanne Schiffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Susanne Schiffmann, 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 | 2024 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 13 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 56 | |
| 10 | 2018 | 139 | |
| 11 | 2015 | 28 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 14 | |
| 14 | 2011 | 403 | |
| 15 | 2010 | 57 | |
| 16 | 2009 | 85 | |
| 17 | 2009 | 181 | |
| 18 | 2007 | 269 | |
| 19 | 2006 | 381 | |
| 20 | 2003 | 25 |
About Susanne Schiffmann
Susanne Schiffmann is a scholar working on Pharmacology, Virology, Immunology, Molecular Biology and Clinical Biochemistry, having authored 80 papers that have together received 3.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (25 papers), Inflammatory mediators and NSAID effects (7 papers), Lipid Membrane Structure and Behavior (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Venomous Animal Envenomation and Studies (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Cancer, Stress, Anesthesia, and Immune Response (4 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Biochemistry (224 citations), Cell Biology (431 citations), Pharmacology (442 citations) and Neurology (147 citations). Susanne Schiffmann has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Gerd Geißlinger, Sabine Grösch, Thorsten J. Maier, Nerea Ferreirós, Michael J. Parnham, Kerstin Birod, Daniela Hartmann, Jennifer Kurz, Yannick Schreiber and Manfred Kaufmann. Their work appears in journals such as Biochemical Pharmacology, International Journal of Molecular Sciences, Scientific Reports, The International Journal of Biochemistry & Cell Biology and Proceedings of the National Academy of Sciences.
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.