E. Yen
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Systemic Sclerosis and Related Diseases 3
-
- Systemic Lupus Erythematosus Research 3
- Co-authors
- Ram Raj Singh (6 shared papers)Ping Zhou (1 shared paper)Robert V. Farese (1 shared paper)Kathryn Lardizabal (1 shared paper)Toni A. Voelker (1 shared paper)Sylvaine Cases (1 shared paper)Scot J. Stone (1 shared paper)Jennifer M. P. Woo (1 shared paper)
- Journals
- Arthritis Care & Research (2 papers)Arthritis & Rheumatology (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Rheumatology (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
E. Yen
10 papers receiving 1.0k citations
E. Yen's Hit Papers
Peers
Comparison fields: 5 of 76
- Biochemistry 509
- Rheumatology 243
- Physiology 184
- Endocrinology, Diabetes and Metabolism 86
- Immunology 110
Countries citing papers authored by E. Yen
This map shows the geographic impact of E. Yen'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 E. Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Yen more than expected).
Fields of papers citing papers by E. Yen
This network shows the impact of papers produced by E. Yen. 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 E. Yen. The network helps show where E. Yen may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Yen, 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 | Cloning of DGAT2, a Second Mammalian Diacylglycerol Acyltransferase, and Related Family Members Hit paper breakdown → | 2001 | 649 |
| 2 | 2018 | 181 | |
| 3 | 2017 | 133 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 16 | |
| 7 | 2023 | 5 | |
| 8 | 2017 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2018 | 2 |
About E. Yen
E. Yen is a scholar working on Pathology and Forensic Medicine, Rheumatology, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (3 papers), Systemic Lupus Erythematosus Research (3 papers), Vasculitis and related conditions (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Plant responses to water stress (1 paper), Healthcare Systems and Public Health (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Biochemistry (509 citations), Rheumatology (243 citations), Physiology (184 citations), Endocrinology, Diabetes and Metabolism (86 citations) and Immunology (110 citations). E. Yen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ram Raj Singh, Ping Zhou, Robert V. Farese, Kathryn Lardizabal, Toni A. Voelker, Sylvaine Cases, Scot J. Stone, Jennifer M. P. Woo, Deborah McCurdy and Arun S. Karlamangla. Their work appears in journals such as Arthritis Care & Research, Arthritis & Rheumatology, Journal of Biological Chemistry, The Journal of Rheumatology and Annals of Internal Medicine.
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.