M. R. Daha
- Immunology top 10%
- Molecular Biology
- Nephrology top 5%
- Hematology top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Leendert A. van EsCees van KootenDirk RoosMartin de BoerJan A. BruijnR. G. J. WestendorpLouis Jean VlemingHans J. Baelde
- Topics
- Complement system in diseases (14 papers)Renal Diseases and Glomerulopathies (8 papers)Blood Coagulation and Thrombosis Mechanisms (5 papers)
- Cited by
- NephrologyImmunologyHematology
- Partner nations
- NetherlandsNorwayUnited Kingdom
In The Last Decade
M. R. Daha
30 papers receiving 809 citations
Peers
Comparison fields: 5 of 92
- Immunology 349
- Molecular Biology 217
- Nephrology 200
- Hematology 155
- Radiology, Nuclear Medicine and Imaging 96
Countries citing papers authored by M. R. Daha
This map shows the geographic impact of M. R. Daha'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 M. R. Daha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Daha more than expected).
Fields of papers citing papers by M. R. Daha
This network shows the impact of papers produced by M. R. Daha. 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 M. R. Daha. The network helps show where M. R. Daha may publish in the future.
Co-authorship network of co-authors of M. R. Daha
This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Daha. A scholar is included among the top collaborators of M. R. Daha 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 M. R. Daha. M. R. Daha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 79 | |
| 3 | 2 | |
| 4 | 54 | |
| 5 | 28 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 37 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | The DD genotype of the ACE gene polymorphism is associated with progression of diabetic nephropathy to end stage renal failure in IDDM. | 50 |
| 14 | 26 | |
| 15 | 34 | |
| 16 | 47 | |
| 17 | Reduction of the complement activation capacity of soluble IgG aggregates and immune complexes by IgM-rheumatoid factor. | 11 |
| 18 | 7 | |
| 19 | 46 | |
| 20 | Pathways of complement activation in membranoproliferative glomerulonephritis and allograft rejection. | 20 |
About M. R. Daha
M. R. Daha is a scholar working on Nephrology, Hematology and Immunology, having authored 30 papers that have together received 864 indexed citations. Recurring topics across this work include Complement system in diseases (14 papers), Renal Diseases and Glomerulopathies (8 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Nephrology (200 citations), Immunology (349 citations) and Hematology (155 citations). M. R. Daha has collaborated with scholars based in Netherlands, Norway and United Kingdom. Frequent co-authors include Leendert A. van Es, Cees van Kooten, Dirk Roos, Martin de Boer, Jan A. Bruijn, R. G. J. Westendorp, Louis Jean Vleming, Hans J. Baelde, Nicole A.M. Verhagen and Stefan P. Berger. Their work appears in journals such as The Journal of Immunology, Journal of the American Society of Nephrology and Diabetologia.
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.