David S. Sinasac
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 16
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 4
- Physiology top 10%
- Diet and metabolism studies 4
- Aging top 10%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 4
-
- Mitochondrial Function and Pathology 10
- ATP Synthase and ATPases Research 5
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Keiko KobayashiTakeyori SahekiLap‐Chee TsuiMikio IijimaMichael A. CrackowerStephen W. SchererJoseph H. NadeauLaila Begum
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
David S. Sinasac
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Clinical Biochemistry 572
- Biochemistry 155
- Physiology 315
- Aging 21
- Genetics 290
Countries citing papers authored by David S. Sinasac
This map shows the geographic impact of David S. Sinasac'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 David S. Sinasac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Sinasac more than expected).
Fields of papers citing papers by David S. Sinasac
This network shows the impact of papers produced by David S. Sinasac. 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 David S. Sinasac. The network helps show where David S. Sinasac may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David S. Sinasac, 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 | 2019 | 45 | |
| 2 | 2019 | 37 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 18 | |
| 8 | 2015 | 21 | |
| 9 | 2014 | 21 | |
| 10 | 2012 | 19 | |
| 11 | 2011 | 31 | |
| 12 | 2010 | 24 | |
| 13 | 2009 | 36 | |
| 14 | 2009 | 34 | |
| 15 | 2008 | 198 | |
| 16 | 2007 | 65 | |
| 17 | 2005 | 31 | |
| 18 | 1999 | 30 | |
| 19 | 1999 | 10 | |
| 20 | 1999 | 33 |
About David S. Sinasac
David S. Sinasac is a scholar working on Clinical Biochemistry, Biochemistry and Physiology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Genetic and phenotypic traits in livestock (4 papers), Diet and metabolism studies (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Clinical Biochemistry (572 citations), Biochemistry (155 citations) and Physiology (315 citations). David S. Sinasac has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Keiko Kobayashi, Takeyori Saheki, Lap‐Chee Tsui, Mikio Iijima, Michael A. Crackower, Stephen W. Scherer, Joseph H. Nadeau, Laila Begum, Jeffrey R. Lee and Lindsay C. Burrage. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.