W J Habets

1.5k total citations
25 papers, 1.3k citations indexed

About

W J Habets is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, W J Habets has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 11 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in W J Habets's work include Systemic Sclerosis and Related Diseases (10 papers), Inflammatory Myopathies and Dermatomyositis (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). W J Habets is often cited by papers focused on Systemic Sclerosis and Related Diseases (10 papers), Inflammatory Myopathies and Dermatomyositis (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). W J Habets collaborates with scholars based in Netherlands, United States and Austria. W J Habets's co-authors include Walther J. van Venrooij, M H Hoet, W J van Venrooij, L B van de Putte, Peter Sillekens, D. J. De Rooij, Brigit A. de Jong, Martin Salden, Iain W. Mattaj and A M Boerbooms and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

W J Habets

24 papers receiving 1.2k citations

Peers

W J Habets
Comparison fields: 5 of 55
  • Molecular Biology 742
  • Radiology, Nuclear Medicine and Imaging 345
  • Immunology 272
  • Rheumatology 270
  • Pathology and Forensic Medicine 248
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G. G. de Lange Netherlands
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Ingvar Pettersson Sweden View profile →
Citations per field, relative to W J Habets
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Citations per year, relative to W J Habets
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Countries citing papers authored by W J Habets

Since Specialization
Citations

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

Fields of papers citing papers by W J Habets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W J Habets. 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 W J Habets. The network helps show where W J Habets may publish in the future.

Co-authorship network of co-authors of W J Habets

This figure shows the co-authorship network connecting the top 25 collaborators of W J Habets. A scholar is included among the top collaborators of W J Habets 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 W J Habets. W J Habets 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
# Work Indexed citations
1 0
2 14
3 48
4
Detection of HCV antigen by immunohistochemical staining: a histological marker of HCV infection
2
5 21
6 3
7 155
8 39
9 14
10
Detection of autoantibodies in a quantitative immunoassay using recombinant ribonucleoprotein antigens.
32
11
Anti-56K: a novel, frequently occurring autoantibody specificity in connective tissue disease.
11
12 59
13 45
14 187
15
Quantitation of anti-RNP and anti-Sm antibodies in MCTD and SLE patients by immunoblotting.
81
16 71
17 76
18 14
19 6
20 40

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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