Mariann Moizs
- Pulmonary and Respiratory Medicine
- Surgery
- Speech and Hearing top 5%
- Pathology and Forensic Medicine
- Rehabilitation top 10%
- Co-authors
- Ferenc NagyTibor HortobágyiBéla TóthJózsef TollárJudit BajorPéter HorváthÁrṕad Kov́acsImre Repa
- Topics
- Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Global Cancer Incidence and Screening (5 papers)
- Journals
- PLoS ONEMedicine & Science in Sports & ExerciseArchives of Physical Medicine and Rehabilitation
- Partner nations
- HungaryNetherlandsUnited States
In The Last Decade
Mariann Moizs
33 papers receiving 300 citations
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 80
- Surgery 68
- Speech and Hearing 60
- Pathology and Forensic Medicine 54
- Rehabilitation 53
Countries citing papers authored by Mariann Moizs
This map shows the geographic impact of Mariann Moizs'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 Mariann Moizs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariann Moizs more than expected).
Fields of papers citing papers by Mariann Moizs
This network shows the impact of papers produced by Mariann Moizs. 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 Mariann Moizs. The network helps show where Mariann Moizs may publish in the future.
Co-authorship network of co-authors of Mariann Moizs
This figure shows the co-authorship network connecting the top 25 collaborators of Mariann Moizs. A scholar is included among the top collaborators of Mariann Moizs 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 Mariann Moizs. Mariann Moizs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 39 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 73 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 62 | |
| 19 | 6 | |
| 20 | [Implantation of a Gianturco-S prosthesis in malignant esophagogastric stenosis]. | 1 |
About Mariann Moizs
Mariann Moizs is a scholar working on Neuropsychology and Physiological Psychology, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 306 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Speech and Hearing (60 citations), Rehabilitation (53 citations) and Physical Therapy, Sports Therapy and Rehabilitation (20 citations). Mariann Moizs has collaborated with scholars based in Hungary, Netherlands and United States. Frequent co-authors include Ferenc Nagy, Tibor Hortobágyi, Béla Tóth, József Tollár, Judit Bajor, Péter Horváth, Árṕad Kov́acs, Imre Repa, Zoltán Vokó and Zoltán Kaló. Their work appears in journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Archives of Physical Medicine and Rehabilitation.
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.