Dita Maixnerová
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Nephrology 33
- Renal Diseases and Glomerulopathies 33
- Chronic Kidney Disease and Diabetes 11
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- Autoimmune Bullous Skin Diseases 9
- Systemic Sclerosis and Related Diseases 4
- Co-authors
- Vladimı́r Tesař (38 shared papers)Michaela Neprašová (14 shared papers)Jana Reiterová (17 shared papers)Romana Ryšavá (16 shared papers)M Merta (15 shared papers)Jan Novák (5 shared papers)Colin Reily (3 shared papers)Eva Honsová (10 shared papers)
- Journals
- Nephrology Dialysis Transplantation (7 papers)Kidney & Blood Pressure Research (5 papers)Journal of Nephrology (3 papers)Physiological Research (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- CzechiaUnited StatesDenmark
In The Last Decade
Dita Maixnerová
38 papers receiving 647 citations
Peers
Comparison fields: 5 of 58
- Nephrology 464
- Hematology 103
- Rheumatology 126
- Pathology and Forensic Medicine 142
- Transplantation 17
Countries citing papers authored by Dita Maixnerová
This map shows the geographic impact of Dita Maixnerová'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 Dita Maixnerová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dita Maixnerová more than expected).
Fields of papers citing papers by Dita Maixnerová
This network shows the impact of papers produced by Dita Maixnerová. 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 Dita Maixnerová. The network helps show where Dita Maixnerová may publish in the future.
Co-authors
The 25 scholars most cited alongside Dita Maixnerová, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 63 | |
| 2 | 2016 | 61 | |
| 3 | 2006 | 58 | |
| 4 | 2019 | 45 | |
| 5 | 2021 | 32 | |
| 6 | 2022 | 27 | |
| 7 | 2023 | 26 | |
| 8 | 2005 | 26 | |
| 9 | 2011 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2007 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2019 | 17 | |
| 15 | 2017 | 17 | |
| 16 | Genetic basis of nephrotic syndrome--review. | 2006 | 16 |
| 17 | 2013 | 16 | |
| 18 | 2007 | 15 | |
| 19 | 2010 | 13 | |
| 20 | 2008 | 13 |
About Dita Maixnerová
Dita Maixnerová is a scholar working on Nephrology, Pathology and Forensic Medicine, Molecular Biology, Hematology and Genetics, having authored 38 papers that have together received 656 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (33 papers), Chronic Kidney Disease and Diabetes (11 papers), Autoimmune Bullous Skin Diseases (9 papers), Platelet Disorders and Treatments (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Nephrology (464 citations), Hematology (103 citations), Rheumatology (126 citations), Pathology and Forensic Medicine (142 citations) and Transplantation (17 citations). Dita Maixnerová has collaborated with scholars based in Czechia, United States and Denmark. Frequent co-authors include Vladimı́r Tesař, Michaela Neprašová, Jana Reiterová, Romana Ryšavá, M Merta, Jan Novák, Colin Reily, Eva Honsová, Ondřej Viklický and Jitka Štekrová. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney & Blood Pressure Research, Journal of Nephrology, Physiological Research and International Journal of Molecular Sciences.
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.