Nina Daha

937 citations
22 papers · 713 · h-index 13

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Complement system in diseases
    • T-cell and B-cell Immunology

Papers in

    • Complement system in diseases 4
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Rheumatoid Arthritis Research and Therapies 5
    • Systemic Lupus Erythematosus Research 3

Nina Daha

22 papers receiving 699 citations

Peers

Nina Daha
Comparison fields: 5 of 65
  • Rheumatology 352
  • Immunology 191
  • Genetics 74
  • Hematology 55
  • Nephrology 27
Replace Amalia Raptopoulou with:
Amalia Raptopoulou Greece
Daiki Nakagomi Japan
Yusuke Miyazaki Japan
Carrie A. Fletcher Australia
Takaki Nojima Japan
Makio Kusaoi Japan
M. Hirakata Japan
J. von Kempis Switzerland
Rekha Parmar United Kingdom
Nina Daha relative to Amalia Raptopoulou Greece Amalia Raptopoulou's profile →
Citations per field
00.5×1.5×
Amalia Raptopoulou · 1×
Citations per year

Countries citing papers authored by Nina Daha

Since Specialization
Citations

This map shows the geographic impact of Nina 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 Nina Daha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Daha more than expected).

Fields of papers citing papers by Nina Daha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina 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 Nina Daha. The network helps show where Nina Daha may publish in the future.

Co-authors

The 25 scholars most cited alongside Nina Daha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nina Daha Line = papers co-authored together Nina Daha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 200981
3 201271
4 201168
5 201156
6 201555
7 201046
8 201242
9 201341
10 201422
11 201021
12 201221
13 201114
14 201212
15 201411
16 20119
17 20129
18 20124
19 20113
20 20112

About Nina Daha

Nina Daha is a scholar working on Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 22 papers that have together received 713 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Complement system in diseases (4 papers), T-cell and B-cell Immunology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Rheumatology (352 citations), Immunology (191 citations), Genetics (74 citations), Hematology (55 citations) and Nephrology (27 citations). Nina Daha has collaborated with scholars based in Netherlands, Sweden and United Kingdom. Frequent co-authors include René E. M. Toes, T. Huizinga, Leendert A. Trouw, Fina Kurreeman, Anja Roos, Nirmal K. Banda, Joost M. Bakker, Mohamed R. Daha, Frank J. Beurskens and Jeanine J. Houwing‐Duistermaat. Their work appears in journals such as Annals of the Rheumatic Diseases, Genes and Immunity, Clinical & Experimental Immunology, European Journal of Human Genetics and Molecular Immunology.

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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