Vinay Sachdev
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
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- Alzheimer's disease research and treatments
- Lysosomal Storage Disorders Research
Papers in
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- Lipid metabolism and biosynthesis 6
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- Lipid metabolism and disorders 9
- Co-authors
- Dagmar Kratky (23 shared papers)Jay V. Patankar (9 shared papers)Wolfgang F. Graier (7 shared papers)Nemanja Vujić (7 shared papers)Sascha Obrowsky (7 shared papers)Dagmar Kolb (9 shared papers)Benjamin Gottschalk (5 shared papers)Christina Leopold (9 shared papers)
- Journals
- Atherosclerosis (5 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (4 papers)Journal of Hepatology (2 papers)Cellular Physiology and Biochemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- AustriaNetherlandsUnited States
In The Last Decade
Vinay Sachdev
24 papers receiving 581 citations
Peers
Comparison fields: 5 of 65
- Biochemistry 73
- Physiology 130
- Neurology 29
- Surgery 102
- Sensory Systems 12
Countries citing papers authored by Vinay Sachdev
This map shows the geographic impact of Vinay Sachdev'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 Vinay Sachdev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Sachdev more than expected).
Fields of papers citing papers by Vinay Sachdev
This network shows the impact of papers produced by Vinay Sachdev. 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 Vinay Sachdev. The network helps show where Vinay Sachdev may publish in the future.
Co-authors
The 25 scholars most cited alongside Vinay Sachdev, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2019 | 81 | |
| 3 | 2016 | 40 | |
| 4 | 2019 | 37 | |
| 5 | 2013 | 33 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2023 | 27 | |
| 9 | 2014 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2015 | 25 | |
| 12 | 2021 | 23 | |
| 13 | 2014 | 21 | |
| 14 | 2016 | 21 | |
| 15 | 2015 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2019 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 9 | |
| 20 | 2016 | 2 |
About Vinay Sachdev
Vinay Sachdev is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Surgery, Physiology and Epidemiology, having authored 25 papers that have together received 596 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (9 papers), Cholesterol and Lipid Metabolism (8 papers), Lipid metabolism and biosynthesis (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic function and diabetes (3 papers), Alzheimer's disease research and treatments (2 papers), Gut microbiota and health (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Biochemistry (73 citations), Physiology (130 citations), Neurology (29 citations), Surgery (102 citations) and Sensory Systems (12 citations). Vinay Sachdev has collaborated with scholars based in Austria, Netherlands and United States. Frequent co-authors include Dagmar Kratky, Jay V. Patankar, Wolfgang F. Graier, Nemanja Vujić, Sascha Obrowsky, Dagmar Kolb, Benjamin Gottschalk, Christina Leopold, Folkert Kuipers and Melanie Korbelius. Their work appears in journals such as Atherosclerosis, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Hepatology, Cellular Physiology and Biochemistry 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.