Dana Němcová
- Hematology top 5%
- Pulmonary and Respiratory Medicine
- Rheumatology top 10%
- Molecular Biology
- Immunology
- Co-authors
- Pavla DoležalováJ HozaJaroslav ChládekJiří VencovskýAyşı̇n BakkaloğluSeza ÖzenNesrin BeşbaşKateřina Jarošová
- Topics
- Autoimmune and Inflammatory Disorders Research (16 papers)Adolescent and Pediatric Healthcare (11 papers)Acute Lymphoblastic Leukemia research (4 papers)
- Journals
- Annals of the Rheumatic DiseasesLara D. VeekenThe Journal of Steroid Biochemistry and Molecular Biology
- Partner nations
- CzechiaItalyUnited States
In The Last Decade
Dana Němcová
37 papers receiving 460 citations
Peers
Comparison fields: 5 of 66
- Hematology 180
- Pulmonary and Respiratory Medicine 125
- Rheumatology 120
- Molecular Biology 88
- Immunology 80
Countries citing papers authored by Dana Němcová
This map shows the geographic impact of Dana Němcová'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 Dana Němcová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Němcová more than expected).
Fields of papers citing papers by Dana Němcová
This network shows the impact of papers produced by Dana Němcová. 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 Dana Němcová. The network helps show where Dana Němcová may publish in the future.
Co-authorship network of co-authors of Dana Němcová
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Němcová. A scholar is included among the top collaborators of Dana Němcová 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 Dana Němcová. Dana Němcová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | Raynaud's syndrome in children: systematic review and development of recommendations for assessment and monitoring. | 16 |
| 6 | 30 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | PFAPA syndrome: clinical characteristics and treatment outcomes in a large single-centre cohort. | 36 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 55 | |
| 14 | 19 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | Soluble adhesion molecules ICAM-1 and E-selectin in juvenile arthritis: clinical and laboratory correlations. | 13 |
| 18 | 68 | |
| 19 | 4 | |
| 20 | Juvenile chronic arthritis--bone mineral density in relation to corticosteroid therapy. | 3 |
About Dana Němcová
Dana Němcová is a scholar working on Speech and Hearing, Hematology and Rheumatology, having authored 37 papers that have together received 478 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (16 papers), Adolescent and Pediatric Healthcare (11 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (180 citations), Speech and Hearing (76 citations) and Rheumatology (120 citations). Dana Němcová has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Pavla Doležalová, J Hoza, Jaroslav Chládek, Jiří Vencovský, Ayşı̇n Bakkaloğlu, Seza Özen, Nesrin Beşbaş, Kateřina Jarošová, Ali Düzova and Mehmet Alikaşifoğlu. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and The Journal of Steroid Biochemistry and Molecular Biology.
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.