Merry Sullivan
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- Cancer, Lipids, and Metabolism
Papers in
-
- RNA and protein synthesis mechanisms 3
- Peroxisome Proliferator-Activated Receptors 3
- RNA Research and Splicing 2
- Metabolism, Diabetes, and Cancer 1
- Steroid Chemistry and Biochemistry 1
- Surgery 4
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 2
- Pancreatic function and diabetes 1
- Co-authors
- Lawrence Chan (6 shared papers)Kazuhiro Oka (6 shared papers)Kazumi Ishimura‐Oka (4 shared papers)Ta‐Yuan Chang (1 shared paper)Catherine C.Y. Chang (1 shared paper)Wen‐Hsiung Li (1 shared paper)Julia Krushkal (1 shared paper)Oliver Tiebel (2 shared papers)
- Journals
- Genomics (2 papers)Journal of Biological Chemistry (2 papers)Atherosclerosis (1 paper)Journal of Molecular Biology (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Merry Sullivan
8 papers receiving 387 citations
Peers
Comparison fields: 5 of 60
- Biochemistry 44
- Cancer Research 78
- Surgery 152
- Molecular Biology 224
- Endocrinology, Diabetes and Metabolism 31
Countries citing papers authored by Merry Sullivan
This map shows the geographic impact of Merry Sullivan'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 Merry Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merry Sullivan more than expected).
Fields of papers citing papers by Merry Sullivan
This network shows the impact of papers produced by Merry Sullivan. 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 Merry Sullivan. The network helps show where Merry Sullivan may publish in the future.
Co-authors
The 24 scholars most cited alongside Merry Sullivan, 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 | 1995 | 110 | |
| 2 | 1994 | 96 | |
| 3 | 1999 | 63 | |
| 4 | 1994 | 47 | |
| 5 | 1997 | 37 | |
| 6 | 1991 | 17 | |
| 7 | 2009 | 15 | |
| 8 | 1995 | 6 |
About Merry Sullivan
Merry Sullivan is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Physiology, having authored 8 papers that have together received 391 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cholesterol and Lipid Metabolism (2 papers), Lipoproteins and Cardiovascular Health (2 papers), RNA Research and Splicing (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Biochemistry (44 citations), Cancer Research (78 citations), Surgery (152 citations), Molecular Biology (224 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Merry Sullivan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lawrence Chan, Kazuhiro Oka, Kazumi Ishimura‐Oka, Ta‐Yuan Chang, Catherine C.Y. Chang, Wen‐Hsiung Li, Julia Krushkal, Oliver Tiebel, Makoto Nakamuta and Elizabeth Lindsay. Their work appears in journals such as Genomics, Journal of Biological Chemistry, Atherosclerosis, Journal of Molecular Biology and European Journal of 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.