Mónica B. Vela
- Public Health, Environmental and Occupational Health top 5%
- Gender Studies top 2%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Emergency Medical Services top 5%
- Co-authors
- Marshall H. ChinMonica E. PeekKaren KimHui TangValerie G. PressJulie K. JohnsonWilliam McdadeCassandra Fritz
- Topics
- Diversity and Career in Medicine (13 papers)Medical Education and Admissions (10 papers)Global Health Workforce Issues (9 papers)
- Cited by
- Gender StudiesEmergency Medical ServicesPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesVietnamChina
In The Last Decade
Mónica B. Vela
34 papers receiving 657 citations
Peers
Comparison fields: 5 of 81
- Public Health, Environmental and Occupational Health 292
- Gender Studies 237
- General Health Professions 231
- Sociology and Political Science 155
- Emergency Medical Services 122
Countries citing papers authored by Mónica B. Vela
This map shows the geographic impact of Mónica B. Vela'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 Mónica B. Vela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica B. Vela more than expected).
Fields of papers citing papers by Mónica B. Vela
This network shows the impact of papers produced by Mónica B. Vela. 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 Mónica B. Vela. The network helps show where Mónica B. Vela may publish in the future.
Co-authorship network of co-authors of Mónica B. Vela
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica B. Vela. A scholar is included among the top collaborators of Mónica B. Vela 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 Mónica B. Vela. Mónica B. Vela 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 28 | |
| 13 | 14 | |
| 14 | 54 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 30 | |
| 19 | 64 | |
| 20 | 44 |
About Mónica B. Vela
Mónica B. Vela is a scholar working on Gender Studies, Emergency Medical Services and Health Informatics, having authored 37 papers that have together received 669 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (13 papers), Medical Education and Admissions (10 papers) and Global Health Workforce Issues (9 papers). The work is most often cited by research in Gender Studies (237 citations), Emergency Medical Services (122 citations) and Public Health, Environmental and Occupational Health (292 citations). Mónica B. Vela has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include Marshall H. Chin, Monica E. Peek, Karen Kim, Hui Tang, Valerie G. Press, Julie K. Johnson, William Mcdade, Cassandra Fritz, John Paul Sánchez and Robert M. Bauer. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.