Carol Mita
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
Papers in
- Surgery 6
- Cardiovascular Syncope and Autonomic Disorders 4
-
- Dermatology and Skin Diseases 4
- Co-authors
- Ming Dong (2 shared papers)Yan Ma (2 shared papers)Kehua Zhou (1 shared paper)Jianping Liu (1 shared paper)Peter M. Wayne (1 shared paper)Lisa N. Guo (4 shared papers)Vinod E. Nambudiri (2 shared papers)Tamarra James‐Todd (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (4 papers)Annals of Internal Medicine (2 papers)BMJ Open (2 papers)Journal of Investigative Dermatology (2 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Carol Mita
42 papers receiving 796 citations
Peers
Comparison fields: 5 of 129
- Health Informatics 25
- Complementary and alternative medicine 79
- Urology 37
- Health, Toxicology and Mutagenesis 81
- Geriatrics and Gerontology 12
Countries citing papers authored by Carol Mita
This map shows the geographic impact of Carol Mita'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 Carol Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Mita more than expected).
Fields of papers citing papers by Carol Mita
This network shows the impact of papers produced by Carol Mita. 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 Carol Mita. The network helps show where Carol Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Carol Mita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2021 | 62 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2022 | 50 | |
| 7 | 2023 | 38 | |
| 8 | 2015 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2023 | 28 | |
| 11 | 2024 | 26 | |
| 12 | 2023 | 26 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 11 |
About Carol Mita
Carol Mita is a scholar working on Surgery, Dermatology, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Oncology, having authored 54 papers that have together received 810 indexed citations. Recurring topics across this work include Cardiovascular Syncope and Autonomic Disorders (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Dermatology and Skin Diseases (4 papers), Hair Growth and Disorders (3 papers), Climate Change and Health Impacts (3 papers), Cutaneous Melanoma Detection and Management (2 papers), LGBTQ Health, Identity, and Policy (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Health Informatics (25 citations), Complementary and alternative medicine (79 citations), Urology (37 citations), Health, Toxicology and Mutagenesis (81 citations) and Geriatrics and Gerontology (12 citations). Carol Mita has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Ming Dong, Yan Ma, Kehua Zhou, Jianping Liu, Peter M. Wayne, Lisa N. Guo, Vinod E. Nambudiri, Tamarra James‐Todd, Michelle S. Lee and Bina Kassamali. Their work appears in journals such as Journal of the American Academy of Dermatology, Annals of Internal Medicine, BMJ Open, Journal of Investigative Dermatology and Journal of the American Medical Informatics Association.
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.