Matthew D. Moore
- Pharmacology top 1%
- Oncology
- Molecular Biology
- Hepatology top 10%
- Epidemiology
- Co-authors
- Sten OrreniusHjördis ThorGregory MooreSidney D. NelsonPeter MoldéusPierluigi NicoteraFrancesca MirabelliJ. A. Morrison
- Topics
- Pregnancy and preeclampsia studies (4 papers)Maternal and fetal healthcare (3 papers)Birth, Development, and Health (2 papers)
- Cited by
- PharmacologyBiochemistryHepatology
- Journals
- Journal of Biological ChemistryAmerican Journal of Obstetrics and GynecologyAmerican Journal of Hypertension
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Matthew D. Moore
11 papers receiving 471 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 269
- Oncology 129
- Molecular Biology 88
- Hepatology 61
- Epidemiology 59
Countries citing papers authored by Matthew D. Moore
This map shows the geographic impact of Matthew D. Moore'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 Matthew D. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Moore more than expected).
Fields of papers citing papers by Matthew D. Moore
This network shows the impact of papers produced by Matthew D. Moore. 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 Matthew D. Moore. The network helps show where Matthew D. Moore may publish in the future.
Co-authorship network of co-authors of Matthew D. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Moore. A scholar is included among the top collaborators of Matthew D. Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew D. Moore. Matthew D. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 359 | |
| 11 | 69 | |
| 12 | Alcohol intake, cigarette smoking and plasma lipids and lipoproteins in 12--19-year-old children. The Collaborative Lipid Research Clinics Prevalence Study. | 43 |
About Matthew D. Moore
Matthew D. Moore is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 12 papers that have together received 504 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Maternal and fetal healthcare (3 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Pharmacology (269 citations), Biochemistry (58 citations) and Hepatology (61 citations). Matthew D. Moore has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Sten Orrenius, Hjördis Thor, Gregory Moore, Sidney D. Nelson, Peter Moldéus, Pierluigi Nicotera, Francesca Mirabelli, J. A. Morrison, Gerardo Heiss and Petra El Khoury. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Obstetrics and Gynecology and American Journal of Hypertension.
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.