Anny Mulya
Impact in
- Surgery top 2%
- Cholesterol and Lipid Metabolism
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Physiology 15
- Adipose Tissue and Metabolism 11
- Diet and metabolism studies 5
- Surgery 14
- Cholesterol and Lipid Metabolism 9
- Co-authors
- John P. Kirwan (25 shared papers)John S. Parks (9 shared papers)Abraham K. Gebre (8 shared papers)Elena Boudyguina (6 shared papers)Jenelle M. Timmins (5 shared papers)Nobuyo Maeda (3 shared papers)Ciarán E. Fealy (11 shared papers)Perry L. Colvin (5 shared papers)
- Journals
- Diabetes (4 papers)Journal of Lipid Research (3 papers)PLoS ONE (2 papers)Journal of Clinical Investigation (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Anny Mulya
41 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 90
- Surgery 985
- Endocrinology, Diabetes and Metabolism 360
- Cancer Research 283
- Biochemistry 147
- Physiology 445
Countries citing papers authored by Anny Mulya
This map shows the geographic impact of Anny Mulya'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 Anny Mulya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anny Mulya more than expected).
Fields of papers citing papers by Anny Mulya
This network shows the impact of papers produced by Anny Mulya. 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 Anny Mulya. The network helps show where Anny Mulya may publish in the future.
Co-authors
The 25 scholars most cited alongside Anny Mulya, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 381 | |
| 2 | 2005 | 363 | |
| 3 | 2008 | 298 | |
| 4 | 2012 | 187 | |
| 5 | 2013 | 168 | |
| 6 | 2014 | 113 | |
| 7 | 2007 | 101 | |
| 8 | 2015 | 95 | |
| 9 | 2018 | 94 | |
| 10 | 2006 | 83 | |
| 11 | 2021 | 65 | |
| 12 | 2013 | 54 | |
| 13 | 2018 | 49 | |
| 14 | 2016 | 47 | |
| 15 | 2008 | 43 | |
| 16 | 2017 | 33 | |
| 17 | 2009 | 32 | |
| 18 | 2005 | 29 | |
| 19 | 2023 | 27 | |
| 20 | 2015 | 26 |
About Anny Mulya
Anny Mulya is a scholar working on Physiology, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Cholesterol and Lipid Metabolism (9 papers), Drug Transport and Resistance Mechanisms (6 papers), Mitochondrial Function and Pathology (5 papers), Diet and metabolism studies (5 papers), Lipid metabolism and biosynthesis (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Surgery (985 citations), Endocrinology, Diabetes and Metabolism (360 citations), Cancer Research (283 citations), Biochemistry (147 citations) and Physiology (445 citations). Anny Mulya has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include John P. Kirwan, John S. Parks, Abraham K. Gebre, Elena Boudyguina, Jenelle M. Timmins, Nobuyo Maeda, Ciarán E. Fealy, Perry L. Colvin, Ji‐Young Lee and Thomas L. Smith. Their work appears in journals such as Diabetes, Journal of Lipid Research, PLoS ONE, Journal of Clinical Investigation and Journal of Applied Physiology.
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.