Daniel Stephenson
Impact in
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- Lipid metabolism and biosynthesis
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- Erythrocyte Function and Pathophysiology
Papers in
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- Sphingolipid Metabolism and Signaling 13
- Metabolomics and Mass Spectrometry Studies 5
- Physiology 15
- Erythrocyte Function and Pathophysiology 9
- Co-authors
- Charles E. Chalfant (29 shared papers)L. Alexis Hoeferlin (5 shared papers)Angelo D’Alessandro (25 shared papers)Rhoderick E. Brown (5 shared papers)Ngoc Vu (4 shared papers)Minjung Kim (4 shared papers)Shrawan K. Mishra (2 shared papers)Margaret A. Park (4 shared papers)
- Journals
- Blood (5 papers)Science Signaling (3 papers)Molecular Neurobiology (3 papers)Journal of Lipid Research (3 papers)Blood Advances (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Daniel Stephenson
49 papers receiving 594 citations
Peers
Comparison fields: 5 of 95
- Biochemistry 42
- Physiology 122
- Molecular Biology 322
- Cancer Research 66
- Cell Biology 65
Countries citing papers authored by Daniel Stephenson
This map shows the geographic impact of Daniel Stephenson'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 Stephenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stephenson more than expected).
Fields of papers citing papers by Daniel Stephenson
This network shows the impact of papers produced by Daniel Stephenson. 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 Stephenson. The network helps show where Daniel Stephenson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stephenson, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2022 | 38 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 31 | |
| 5 | 2022 | 30 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 22 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 13 |
About Daniel Stephenson
Daniel Stephenson is a scholar working on Molecular Biology, Physiology, Cell Biology, Genetics and Hematology, having authored 55 papers that have together received 598 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Erythrocyte Function and Pathophysiology (9 papers), Hemoglobinopathies and Related Disorders (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Diabetes and associated disorders (3 papers), Ocular Surface and Contact Lens (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Biochemistry (42 citations), Physiology (122 citations), Molecular Biology (322 citations), Cancer Research (66 citations) and Cell Biology (65 citations). Daniel Stephenson has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Charles E. Chalfant, L. Alexis Hoeferlin, Angelo D’Alessandro, Rhoderick E. Brown, Ngoc Vu, Minjung Kim, Shrawan K. Mishra, Margaret A. Park, Yong‐Guang Gao and Monika Dzieciątkowska. Their work appears in journals such as Blood, Science Signaling, Molecular Neurobiology, Journal of Lipid Research and Blood Advances.
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.