Dalila Marques
- Internal Medicine top 5%
- Hematology top 10%
- Platelet Disorders and Treatments 7
- Surgery top 10%
- Cholesterol and Lipid Metabolism 12
- Heparin-Induced Thrombocytopenia and Thrombosis 3
- Biochemistry top 10%
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- Drug Transport and Resistance Mechanisms 10
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- Peroxisome Proliferator-Activated Receptors 6
- Glycosylation and Glycoproteins Research 3
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- Proteoglycans and glycosaminoglycans research 5
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Phillip B. HylemonGregorio GilWilliam M. PandakKaye RedfordShunlin RenMichael SobelDaniel Rodrı́guez-AgudoJohn C. Kermode
- Cited by
- Internal MedicineHematologySurgery
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Dalila Marques
26 papers receiving 885 citations
Peers
Comparison fields: 5 of 77
- Internal Medicine 78
- Hematology 135
- Surgery 451
- Biochemistry 65
- Oncology 222
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2019 | 39 | |
| 3 | 2017 | 22 | |
| 4 | 2011 | 8 | |
| 5 | 2011 | 37 | |
| 6 | 2008 | 69 | |
| 7 | 2006 | 47 | |
| 8 | 2005 | 49 | |
| 9 | 2004 | 54 | |
| 10 | 2004 | 57 | |
| 11 | 2004 | 6 | |
| 12 | 2003 | 28 | |
| 13 | 2002 | 112 | |
| 14 | 2002 | 26 | |
| 15 | 1999 | 3 | |
| 16 | 1997 | 5 | |
| 17 | 1994 | 51 | |
| 18 | 1993 | 20 | |
| 19 | 1993 | 12 | |
| 20 | 1991 | 154 |
About Dalila Marques
Dalila Marques is a scholar working on Hematology, Internal Medicine and Cell Biology, having authored 27 papers that have together received 905 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Platelet Disorders and Treatments (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Internal Medicine (78 citations), Hematology (135 citations) and Surgery (451 citations). Dalila Marques has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Phillip B. Hylemon, Gregorio Gil, William M. Pandak, Kaye Redford, Shunlin Ren, Michael Sobel, Daniel Rodrı́guez-Agudo, John C. Kermode, Elizabeth A. Hall and Burt Adelman. 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 Tetrahedron Letters.
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.