Philipp Hammerschmidt
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Sphingolipid Metabolism and Signaling 5
- ATP Synthase and ATPases Research 2
- Lipid Membrane Structure and Behavior 1
- Surgery 2
- Pancreatic function and diabetes 1
- Cholesterol and Lipid Metabolism 1
- Co-authors
- Jens C. Brüning (5 shared papers)Sarah M. Turpin-Nolan (3 shared papers)Susanne Brodesser (4 shared papers)Hayley T. Nicholls (2 shared papers)Alexander Jaïs (2 shared papers)Motoharu Awazawa (2 shared papers)Aleksandra Trifunović (2 shared papers)Jens C. Brüning (1 shared paper)
- Journals
- Cell Metabolism (1 paper)Cell (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Cellular and Molecular Life Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Philipp Hammerschmidt
6 papers receiving 976 citations
Philipp Hammerschmidt's Hit Papers
Peers
Comparison fields: 5 of 71
- Biochemistry 120
- Physiology 316
- Endocrine and Autonomic Systems 67
- Molecular Biology 678
- Epidemiology 275
Countries citing papers authored by Philipp Hammerschmidt
This map shows the geographic impact of Philipp Hammerschmidt'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 Philipp Hammerschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Hammerschmidt more than expected).
Fields of papers citing papers by Philipp Hammerschmidt
This network shows the impact of papers produced by Philipp Hammerschmidt. 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 Philipp Hammerschmidt. The network helps show where Philipp Hammerschmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Hammerschmidt, 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 | Obesity-Induced CerS6-Dependent C16:0 Ceramide Production Promotes Weight Gain and Glucose Intolerance Hit paper breakdown → | 2014 | 527 |
| 2 | 2019 | 216 | |
| 3 | 2019 | 138 | |
| 4 | 2022 | 66 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 10 |
About Philipp Hammerschmidt
Philipp Hammerschmidt is a scholar working on Molecular Biology, Surgery, Biochemistry, Endocrine and Autonomic Systems and Cell Biology, having authored 6 papers that have together received 978 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), ATP Synthase and ATPases Research (2 papers), Lipid metabolism and biosynthesis (2 papers), Pancreatic function and diabetes (1 paper), Regulation of Appetite and Obesity (1 paper), Lipid Membrane Structure and Behavior (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Biochemistry (120 citations), Physiology (316 citations), Endocrine and Autonomic Systems (67 citations), Molecular Biology (678 citations) and Epidemiology (275 citations). Philipp Hammerschmidt has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Jens C. Brüning, Sarah M. Turpin-Nolan, Susanne Brodesser, Hayley T. Nicholls, Alexander Jaïs, Motoharu Awazawa, Aleksandra Trifunović, Jens C. Brüning, Jan‐Wilhelm Kornfeld and Claudia M. Wunderlich. Their work appears in journals such as Cell Metabolism, Cell, Journal of Molecular and Cellular Cardiology, Cellular and Molecular Life Sciences and Nature Communications.
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.