Mohamed R. Daha

31.3k citations
540 papers · 24.3k indexed · 2 hit papers · h-index 78
Topics
Complement system in diseases (242 papers)Renal Diseases and Glomerulopathies (136 papers)Monoclonal and Polyclonal Antibodies Research (110 papers)

In The Last Decade

Mohamed R. Daha

530 papers receiving 23.6k citations

Hit Papers

Diagnostic value of standardized assays for anti-neutroph...199720262006201619981997100200300400500

Peers

Mohamed R. Daha
Comparison fields: 5 of 149
  • Immunology 13.7k
  • Nephrology 5.3k
  • Molecular Biology 4.1k
  • Rheumatology 3.9k
  • Hematology 3.6k
Replace V. Michael Holers with:
V. Michael Holers United States
Cees van Kooten Netherlands
Frank J. Dixon United States
Peter Garred Denmark
Robert B. Colvin United States
Dominique Charron France
Marina Botto United Kingdom
Douglas T. Fearon United States
Véronique Frémeaux‐Bacchi France
Hideo Yagita∥ Japan
Mohamed R. Daha relative to V. Michael Holers United States V. Michael Holers's profile →
Citations per field
00.5×1.5×1.9×
V. Michael Holers · 1×
Citations per year

Countries citing papers authored by Mohamed R. Daha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mohamed R. Daha

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed R. Daha. A scholar is included among the top collaborators of Mohamed 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 Mohamed R. Daha. Mohamed R. Daha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 28
3 58
4 37
5 22
6 113
7 43
8 51
9 110
10 25
11 103
12 33
13 80
14 333
15 102
16 6
17
Autoantibodies against C1q in systemic lupus erythematosus.
6
18
Anti-myeloperoxidase antibodies and clinical associations.
4
19 9
20 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) and Monoclonal and Polyclonal Antibodies Research (110 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.

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2026