Mohamed R. Daha
- Nephrology top 0.05%
- Renal Diseases and Glomerulopathies 136
- Immunology top 0.05%
- Complement system in diseases 242
- T-cell and B-cell Immunology 64
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments 46
- Hematology top 0.1%
- Platelet Disorders and Treatments 52
- Blood groups and transfusion 39
- Rheumatology top 0.1%
- Systemic Lupus Erythematosus Research 49
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- Monoclonal and Polyclonal Antibodies Research 110
- Co-authors
- Cees van KootenLeendert A. van EsAnja RoosMarc A. SeelenFokko J. van der WoudeLeendert A. TrouwAlma J. NautaAndrea M. Woltman
- Cited by
- NephrologyImmunologyTransplantation
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Mohamed R. Daha
530 papers receiving 23.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Nephrology 5.3k
- Immunology 13.7k
- Transplantation 1.4k
- Hematology 3.6k
- Rheumatology 3.9k
Countries citing papers authored by Mohamed R. Daha
This map shows the geographic impact of Mohamed 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 Mohamed 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 Mohamed R. Daha more than expected).
Fields of papers citing papers by Mohamed R. Daha
This network shows the impact of papers produced by Mohamed 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 Mohamed R. Daha. The network helps show where Mohamed R. Daha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed R. Daha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 10 | |
| 2 | 2013 | 28 | |
| 3 | 2010 | 58 | |
| 4 | 2009 | 37 | |
| 5 | 2008 | 22 | |
| 6 | 2008 | 113 | |
| 7 | 2007 | 43 | |
| 8 | 2006 | 51 | |
| 9 | 2006 | 110 | |
| 10 | 2005 | 25 | |
| 11 | 2005 | 103 | |
| 12 | 2002 | 33 | |
| 13 | 2001 | 80 | |
| 14 | 2001 | 333 | |
| 15 | 2001 | 102 | |
| 16 | 1997 | 6 | |
| 17 | Autoantibodies against C1q in systemic lupus erythematosus. | 1993 | 6 |
| 18 | Anti-myeloperoxidase antibodies and clinical associations. | 1990 | 4 |
| 19 | 1989 | 9 | |
| 20 | 1985 | 5 |
About Mohamed R. Daha
Mohamed R. Daha is a scholar working on Nephrology, Immunology and Transplantation, having authored 540 papers that have together received 24.3k indexed citations. Recurring topics across this work include Complement system in diseases (242 papers), Renal Diseases and Glomerulopathies (136 papers), Monoclonal and Polyclonal Antibodies Research (110 papers), T-cell and B-cell Immunology (64 papers), Platelet Disorders and Treatments (52 papers), Systemic Lupus Erythematosus Research (49 papers), Renal Transplantation Outcomes and Treatments (46 papers) and Blood groups and transfusion (39 papers). The work is most often cited by research in Nephrology (5.3k citations), Immunology (13.7k citations) and Transplantation (1.4k citations). Mohamed R. Daha has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Cees van Kooten, Leendert A. van Es, Anja Roos, Marc A. Seelen, Fokko J. van der Woude, Leendert A. Trouw, Alma J. Nauta, Andrea M. Woltman, Pieter S. Hiemstra and Maria C. Faber‐Krol. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.