Daniel L. Sparks
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- Diabetes, Cardiovascular Risks, and Lipoproteins 38
- Biochemistry top 2%
- Lipid metabolism and biosynthesis 11
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 19
- Cholesterol and Lipid Metabolism 16
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 8
- Clinical Biochemistry top 5%
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- Lipid metabolism and disorders 10
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- Peroxisome Proliferator-Activated Receptors 10
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Michael C. PhillipsSissel Lund‐KatzTracey A-M. NevilleCynthia ChatterjeeW. Sean DavidsonP. Haydn PritchardYves L. MarcelSylvie Braschi
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Daniel L. Sparks
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 129
- Endocrinology, Diabetes and Metabolism 975
- Biochemistry 211
- Surgery 1.0k
- Cancer Research 301
- Clinical Biochemistry 88
Countries citing papers authored by Daniel L. Sparks
This map shows the geographic impact of Daniel L. Sparks'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 L. Sparks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Sparks more than expected).
Fields of papers citing papers by Daniel L. Sparks
This network shows the impact of papers produced by Daniel L. Sparks. 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 L. Sparks. The network helps show where Daniel L. Sparks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel L. Sparks, 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 | 2014 | 4 | |
| 2 | 2012 | 24 | |
| 3 | 2011 | 99 | |
| 4 | 2009 | 29 | |
| 5 | 2009 | 6 | |
| 6 | 2009 | 9 | |
| 7 | 2009 | 8 | |
| 8 | 2008 | 21 | |
| 9 | 2008 | 7 | |
| 10 | 2007 | 4 | |
| 11 | 2004 | 10 | |
| 12 | 2004 | 46 | |
| 13 | 2003 | 11 | |
| 14 | 2001 | 26 | |
| 15 | 2000 | 24 | |
| 16 | 1998 | 34 | |
| 17 | 1997 | 41 | |
| 18 | 1995 | 14 | |
| 19 | 1994 | 3 | |
| 20 | 1989 | 28 |
About Daniel L. Sparks
Daniel L. Sparks is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Physiology, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Lipoproteins and Cardiovascular Health (19 papers), Cholesterol and Lipid Metabolism (16 papers), Lipid metabolism and biosynthesis (11 papers), Lipid metabolism and disorders (10 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Cancer, Lipids, and Metabolism (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (975 citations), Biochemistry (211 citations) and Surgery (1.0k citations). Daniel L. Sparks has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michael C. Phillips, Sissel Lund‐Katz, Tracey A-M. Neville, Cynthia Chatterjee, W. Sean Davidson, P. Haydn Pritchard, Yves L. Marcel, Sylvie Braschi, Philippe G. Frank and Jonathan Boucher. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.
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.