Lilamarie Moko
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Developmental Neuroscience top 5%
- Co-authors
- Alexander R. OpotowskySebastian KüglerDaniel J. KimLarry I. BenowitzTakuji KurimotoHui-ya GilbertKumiko OmuraLing‐Ping Cen
- Topics
- Congenital Heart Disease Studies (6 papers)Cardiac Valve Diseases and Treatments (3 papers)Cardiovascular Function and Risk Factors (3 papers)
- Cited by
- Developmental NeuroscienceCellular and Molecular NeuroscienceCardiology and Cardiovascular Medicine
- Journals
- Journal of NeuroscienceJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Lilamarie Moko
12 papers receiving 513 citations
Peers
Comparison fields: 5 of 52
- Cardiology and Cardiovascular Medicine 200
- Cellular and Molecular Neuroscience 173
- Pulmonary and Respiratory Medicine 172
- Epidemiology 124
- Developmental Neuroscience 115
Countries citing papers authored by Lilamarie Moko
This map shows the geographic impact of Lilamarie Moko'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 Lilamarie Moko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilamarie Moko more than expected).
Fields of papers citing papers by Lilamarie Moko
This network shows the impact of papers produced by Lilamarie Moko. 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 Lilamarie Moko. The network helps show where Lilamarie Moko may publish in the future.
Co-authorship network of co-authors of Lilamarie Moko
This figure shows the co-authorship network connecting the top 25 collaborators of Lilamarie Moko. A scholar is included among the top collaborators of Lilamarie Moko 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 Lilamarie Moko. Lilamarie Moko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 64 | |
| 8 | 28 | |
| 9 | 46 | |
| 10 | 22 | |
| 11 | 102 | |
| 12 | 223 |
About Lilamarie Moko
Lilamarie Moko is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Emergency Medicine, having authored 12 papers that have together received 523 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (6 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Developmental Neuroscience (115 citations), Cellular and Molecular Neuroscience (173 citations) and Cardiology and Cardiovascular Medicine (200 citations). Lilamarie Moko has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Alexander R. Opotowsky, Sebastian Kügler, Daniel J. Kim, Larry I. Benowitz, Takuji Kurimoto, Hui-ya Gilbert, Kumiko Omura, Ling‐Ping Cen, Yuqin Yin and Jonathan Afilalo. Their work appears in journals such as Journal of Neuroscience, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.