Dalila Marques
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Surgery 14
- Cholesterol and Lipid Metabolism 12
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- Peroxisome Proliferator-Activated Receptors 6
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Phillip B. Hylemon (13 shared papers)Gregorio Gil (13 shared papers)William M. Pandak (13 shared papers)Shunlin Ren (9 shared papers)Kaye Redford (9 shared papers)Michael Sobel (9 shared papers)Daniel Rodríguez‐Agudo (7 shared papers)John C. Kermode (2 shared papers)
- Journals
- Journal of Lipid Research (4 papers)Hepatology (3 papers)Gastroenterology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)Thrombosis Research (1 paper)
- Partner nations
- United StatesJapanPortugal
In The Last Decade
Dalila Marques
26 papers receiving 900 citations
Peers
Comparison fields: 5 of 77
- Internal Medicine 56
- Hematology 118
- Surgery 411
- Oncology 205
- Biochemistry 53
Countries citing papers authored by Dalila Marques
This map shows the geographic impact of Dalila Marques'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 Dalila Marques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalila Marques more than expected).
Fields of papers citing papers by Dalila Marques
This network shows the impact of papers produced by Dalila Marques. 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 Dalila Marques. The network helps show where Dalila Marques may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalila Marques, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 154 | |
| 2 | 2002 | 113 | |
| 3 | 2008 | 71 | |
| 4 | 2004 | 57 | |
| 5 | 2004 | 54 | |
| 6 | 1994 | 51 | |
| 7 | 2005 | 50 | |
| 8 | 2006 | 47 | |
| 9 | 2020 | 44 | |
| 10 | 2019 | 41 | |
| 11 | 2011 | 38 | |
| 12 | 2003 | 29 | |
| 13 | 2002 | 28 | |
| 14 | 1996 | 23 | |
| 15 | 2017 | 22 | |
| 16 | 1993 | 20 | |
| 17 | 1996 | 16 | |
| 18 | 1997 | 16 | |
| 19 | 1993 | 12 | |
| 20 | 2011 | 8 |
About Dalila Marques
Dalila Marques is a scholar working on Surgery, Molecular Biology, Oncology, Hematology and Cell Biology, having authored 27 papers that have together received 920 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Platelet Disorders and Treatments (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Internal Medicine (56 citations), Hematology (118 citations), Surgery (411 citations), Oncology (205 citations) and Biochemistry (53 citations). Dalila Marques has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include Phillip B. Hylemon, Gregorio Gil, William M. Pandak, Shunlin Ren, Kaye Redford, Michael Sobel, Daniel Rodríguez‐Agudo, John C. Kermode, Peter McNeill and Ronán Conroy. Their work appears in journals such as Journal of Lipid Research, Hepatology, Gastroenterology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Thrombosis Research.
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.