Simone de Haij

1.3k citations
21 papers · 1.0k indexed · h-index 17

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Biomarkers in Disease Mechanisms

Papers in

Simone de Haij

20 papers receiving 978 citations

Peers

Simone de Haij
Comparison fields: 5 of 78
  • Immunology 466
  • Transplantation 29
  • Cardiology and Cardiovascular Medicine 231
  • Nephrology 64
  • Radiology, Nuclear Medicine and Imaging 194
Replace Josefin-Beate Holz with:
Josefin-Beate Holz Belgium
Debjit Biswas United States
Ming-Shan He Taiwan
Samir Saheb France
Margaret Kasner United States
Hiroko Kanda Japan
E. W. Nivine Levarht Netherlands
Jessica van Setten Netherlands
Daniel Brandt United States
Z. Mishal France
Simone de Haij relative to Josefin-Beate Holz Belgium Josefin-Beate Holz's profile →
Citations per field
00.5×1.5×2.0×
Josefin-Beate Holz · 1×
Citations per year

Countries citing papers authored by Simone de Haij

Since Specialization
Citations

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

Fields of papers citing papers by Simone de Haij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simone de Haij. 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 Simone de Haij. The network helps show where Simone de Haij may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Simone de Haij, 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 Simone de Haij Line = papers co-authored together Simone de Haij links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016108
2 201422
3 201414
4 201338
5 201389
6 201155
7 20107
8 201098
9 200826
10 200626
11 2005105
12 200552
13 200546
14 200417
15 200238
16 20011
17 20011
18 2000113
19 199852
20 199777

About Simone de Haij

Simone de Haij is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Cancer Research, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Immunology (466 citations), Transplantation (29 citations), Cardiology and Cardiovascular Medicine (231 citations), Nephrology (64 citations) and Radiology, Nuclear Medicine and Imaging (194 citations). Simone de Haij has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Mohamed R. Daha, Cees van Kooten, Andrea M. Woltman, Jeanette H.W. Leusen, Sam J. P. Gobin, Jan G. J. van de Winkel, Joke G. Boonstra, Jantine E. Bakema, Paul W.H.I. Parren and J.H. Marco Jansen. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, The Journal of Immunology, Circulation and Haematologica.

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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