Samuel Datum Moscavitch
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Physiology
- Psychiatry and Mental health
- Epidemiology
- Co-authors
- Maria Luiza Garcia RosaEvandro Tinoco MesquitaLuiz Cláudio FernandesHye Chung KangKnut Tore LappegårdAndrea De LorenzoMariaclara CucciaKaspar Broch
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Heart Failure Treatment and Management (3 papers)Global Health Care Issues (2 papers)
- Partner nations
- BrazilUnited StatesIsrael
In The Last Decade
Samuel Datum Moscavitch
15 papers receiving 173 citations
Peers
Comparison fields: 5 of 61
- Cardiology and Cardiovascular Medicine 75
- Molecular Biology 45
- Physiology 34
- Psychiatry and Mental health 23
- Epidemiology 17
Countries citing papers authored by Samuel Datum Moscavitch
This map shows the geographic impact of Samuel Datum Moscavitch'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 Samuel Datum Moscavitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Datum Moscavitch more than expected).
Fields of papers citing papers by Samuel Datum Moscavitch
This network shows the impact of papers produced by Samuel Datum Moscavitch. 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 Samuel Datum Moscavitch. The network helps show where Samuel Datum Moscavitch may publish in the future.
Co-authorship network of co-authors of Samuel Datum Moscavitch
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Datum Moscavitch. A scholar is included among the top collaborators of Samuel Datum Moscavitch 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 Samuel Datum Moscavitch. Samuel Datum Moscavitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 36 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 41 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | O I123-MIBG Cardíaco se Correlaciona Melhor do que a Fração de Ejeção com a Gravidade dos Sintomas na Insuficiência Cardíaca Sistólica Cardiac I123-MIBG Correlates Better than Ejection Fraction with Symptoms Severity in Systolic Heart Failure | 2 |
| 12 | 26 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | The silence of the atria. | 3 |
About Samuel Datum Moscavitch
Samuel Datum Moscavitch is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Gastroenterology, having authored 15 papers that have together received 183 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Heart Failure Treatment and Management (3 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (75 citations), Family Practice (7 citations) and Gastroenterology (10 citations). Samuel Datum Moscavitch has collaborated with scholars based in Brazil, United States and Israel. Frequent co-authors include Maria Luiza Garcia Rosa, Evandro Tinoco Mesquita, Luiz Cláudio Fernandes, Hye Chung Kang, Knut Tore Lappegård, Andrea De Lorenzo, Mariaclara Cuccia, Kaspar Broch, Johannes R. Hov and Lina-Marcela Díaz-Gallo. Their work appears in journals such as Circulation, Annals of the New York Academy of Sciences and Journal of Cardiac Failure.
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.