Daniel Alpern
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
- Congenital heart defects research 2
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 1
-
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Bart Deplancke (12 shared papers)Vincent Gardeux (6 shared papers)Julie Russeil (8 shared papers)Magda Zachara (3 shared papers)Petra Schwalie (2 shared papers)Christian Caprara (1 shared paper)Gianni Soldati (1 shared paper)Wenfei Sun (1 shared paper)
- Journals
- Scientific Reports (2 papers)eLife (2 papers)Nature Methods (1 paper)The EMBO Journal (1 paper)Cell Metabolism (1 paper)
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
Daniel Alpern
15 papers receiving 1.0k citations
Daniel Alpern's Hit Papers
Peers
Comparison fields: 5 of 87
- Physiology 265
- Biological Psychiatry 22
- Molecular Biology 582
- Behavioral Neuroscience 25
- Epidemiology 193
Countries citing papers authored by Daniel Alpern
This map shows the geographic impact of Daniel Alpern'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 Daniel Alpern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Alpern more than expected).
Fields of papers citing papers by Daniel Alpern
This network shows the impact of papers produced by Daniel Alpern. 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 Daniel Alpern. The network helps show where Daniel Alpern may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Alpern, 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 | A stromal cell population that inhibits adipogenesis in mammalian fat depots Hit paper breakdown → | 2018 | 336 |
| 2 | 2016 | 274 | |
| 3 | 2019 | 131 | |
| 4 | 2017 | 79 | |
| 5 | 2020 | 50 | |
| 6 | 2021 | 33 | |
| 7 | 2014 | 24 | |
| 8 | 2016 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2008 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 |
About Daniel Alpern
Daniel Alpern is a scholar working on Molecular Biology, Epidemiology, Physiology, Surgery and Biological Psychiatry, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), Congenital heart defects research (2 papers), RNA Research and Splicing (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Physiology (265 citations), Biological Psychiatry (22 citations), Molecular Biology (582 citations), Behavioral Neuroscience (25 citations) and Epidemiology (193 citations). Daniel Alpern has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Bart Deplancke, Vincent Gardeux, Julie Russeil, Magda Zachara, Petra Schwalie, Christian Caprara, Gianni Soldati, Wenfei Sun, Christian Wolfrum and Hua Dong. Their work appears in journals such as Scientific Reports, eLife, Nature Methods, The EMBO Journal and Cell Metabolism.
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.