Mia Cajita
- General Health Professions top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Family Practice top 2%
- Demography top 5%
- Co-authors
- Hae‐Ra HanNancy HodgsonMartha Abshire SaylorCheryl Dennison HimmelfarbKelly T. GleasonDale M. NeedhamVictor D. DinglasMichelle N. Eakin
- Topics
- Mobile Health and mHealth Applications (11 papers)Health Literacy and Information Accessibility (11 papers)Behavioral Health and Interventions (5 papers)
- Journals
- International Journal of ObesityBMC Medical Research MethodologyThe Journal of Heart and Lung Transplantation
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Mia Cajita
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- General Health Professions 573
- Cardiology and Cardiovascular Medicine 260
- Public Health, Environmental and Occupational Health 160
- Family Practice 122
- Demography 121
Countries citing papers authored by Mia Cajita
This map shows the geographic impact of Mia Cajita'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 Mia Cajita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Cajita more than expected).
Fields of papers citing papers by Mia Cajita
This network shows the impact of papers produced by Mia Cajita. 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 Mia Cajita. The network helps show where Mia Cajita may publish in the future.
Co-authorship network of co-authors of Mia Cajita
This figure shows the co-authorship network connecting the top 25 collaborators of Mia Cajita. A scholar is included among the top collaborators of Mia Cajita 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 Mia Cajita. Mia Cajita 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 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 19 | |
| 14 | 139 | |
| 15 | 181 | |
| 16 | 9 | |
| 17 | 53 | |
| 18 | 34 | |
| 19 | 102 | |
| 20 | 212 |
About Mia Cajita
Mia Cajita is a scholar working on Applied Psychology, Research and Theory and Family Practice, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (11 papers), Health Literacy and Information Accessibility (11 papers) and Behavioral Health and Interventions (5 papers). The work is most often cited by research in Family Practice (122 citations), General Health Professions (573 citations) and Applied Psychology (103 citations). Mia Cajita has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Hae‐Ra Han, Nancy Hodgson, Martha Abshire Saylor, Cheryl Dennison Himmelfarb, Kelly T. Gleason, Dale M. Needham, Victor D. Dinglas, Michelle N. Eakin, Chakra Budhathoki and Erin Whitehouse. Their work appears in journals such as International Journal of Obesity, BMC Medical Research Methodology and The Journal of Heart and Lung Transplantation.
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.