Monica J. Daood
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Co-authors
- Jon F. WatchkoGary C. SieckWilliam A. LaFramboiseRobert D. GuthrieMamdouha Ahdab-BarmadaThor W.R HansenChun-Hua TsaiW. Z. Zhan
- Topics
- Muscle Physiology and Disorders (20 papers)Neonatal Health and Biochemistry (10 papers)Drug Transport and Resistance Mechanisms (9 papers)
- Cited by
- Endocrine and Autonomic SystemsPediatrics, Perinatology and Child HealthCardiology and Cardiovascular Medicine
- Partner nations
- United StatesNorwayNetherlands
In The Last Decade
Monica J. Daood
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 793
- Pediatrics, Perinatology and Child Health 420
- Pulmonary and Respiratory Medicine 278
- Cardiology and Cardiovascular Medicine 274
- Physiology 256
Countries citing papers authored by Monica J. Daood
This map shows the geographic impact of Monica J. Daood'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 Monica J. Daood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica J. Daood more than expected).
Fields of papers citing papers by Monica J. Daood
This network shows the impact of papers produced by Monica J. Daood. 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 Monica J. Daood. The network helps show where Monica J. Daood may publish in the future.
Co-authorship network of co-authors of Monica J. Daood
This figure shows the co-authorship network connecting the top 25 collaborators of Monica J. Daood. A scholar is included among the top collaborators of Monica J. Daood 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 Monica J. Daood. Monica J. Daood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 27 | |
| 3 | 146 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 42 | |
| 7 | 45 | |
| 8 | 53 | |
| 9 | 10 | |
| 10 | 34 | |
| 11 | 38 | |
| 12 | 17 | |
| 13 | 63 | |
| 14 | 6 | |
| 15 | 26 | |
| 16 | 9 | |
| 17 | 26 | |
| 18 | 25 | |
| 19 | 92 | |
| 20 | 10 |
About Monica J. Daood
Monica J. Daood is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (20 papers), Neonatal Health and Biochemistry (10 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Pediatrics, Perinatology and Child Health (420 citations) and Cardiology and Cardiovascular Medicine (274 citations). Monica J. Daood has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Jon F. Watchko, Gary C. Sieck, William A. LaFramboise, Robert D. Guthrie, Mamdouha Ahdab-Barmada, Thor W.R Hansen, Chun-Hua Tsai, W. Z. Zhan, Beverly Brozanski and Irwin Klein. Their work appears in journals such as Journal of Applied Physiology, Journal of Nutrition and Developmental Biology.
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.