Debora Lim
Impact in
- Nutrition and Dietetics top 5%
- Fatty Acid Research and Health
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
- Genetics 15
- Estrogen and related hormone effects 9
- Co-authors
- Neil E. Hubbard (12 shared papers)Kent L. Erickson (8 shared papers)Rong Yu (1 shared paper)CS Kim (1 shared paper)Teruo Kawada (1 shared paper)Kiho Cho (18 shared papers)Kent L. Erickson (5 shared papers)David G. Greenhalgh (15 shared papers)
- Journals
- Shock (8 papers)Experimental and Molecular Pathology (3 papers)Cancer Letters (3 papers)Journal of Nutrition (2 papers)Cellular Immunology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Debora Lim
32 papers receiving 830 citations
Peers
Comparison fields: 5 of 91
- Nutrition and Dietetics 181
- Biochemistry 78
- Physiology 176
- Cancer Research 97
- Epidemiology 202
Countries citing papers authored by Debora Lim
This map shows the geographic impact of Debora Lim'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 Debora Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Lim more than expected).
Fields of papers citing papers by Debora Lim
This network shows the impact of papers produced by Debora Lim. 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 Debora Lim. The network helps show where Debora Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Debora Lim, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 415 | |
| 2 | 2000 | 74 | |
| 3 | 2003 | 49 | |
| 4 | 1998 | 47 | |
| 5 | 2001 | 36 | |
| 6 | 2005 | 26 | |
| 7 | 1993 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2006 | 16 | |
| 11 | 2007 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2006 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2014 | 9 | |
| 16 | 1998 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 1997 | 8 |
About Debora Lim
Debora Lim is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Nutrition and Dietetics, having authored 33 papers that have together received 863 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Adrenal Hormones and Disorders (7 papers), Fatty Acid Research and Health (6 papers), Cancer, Lipids, and Metabolism (4 papers), Hormonal Regulation and Hypertension (4 papers), Chromosomal and Genetic Variations (4 papers), Immune Response and Inflammation (4 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Nutrition and Dietetics (181 citations), Biochemistry (78 citations), Physiology (176 citations), Cancer Research (97 citations) and Epidemiology (202 citations). Debora Lim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Neil E. Hubbard, Kent L. Erickson, Rong Yu, CS Kim, Teruo Kawada, Kiho Cho, Kent L. Erickson, David G. Greenhalgh, Seung‐Hyo Lee and Ann Cai. Their work appears in journals such as Shock, Experimental and Molecular Pathology, Cancer Letters, Journal of Nutrition and Cellular Immunology.
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.