W.J.M. Tax

3.1k total citations
77 papers, 2.7k citations indexed

About

W.J.M. Tax is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, W.J.M. Tax has authored 77 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 33 papers in Immunology and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in W.J.M. Tax's work include Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (18 papers) and T-cell and B-cell Immunology (14 papers). W.J.M. Tax is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (18 papers) and T-cell and B-cell Immunology (14 papers). W.J.M. Tax collaborates with scholars based in Netherlands, United States and United Kingdom. W.J.M. Tax's co-authors include P J Capel, R. A. P. Koene, Jo H. M. Berden, H.W. Willems, Ruud Licht, Cox Terhorst, P. Reekers, Mieke C.J. van Bruggen, Jannie Borst and C. W. Jacobs and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

W.J.M. Tax

77 papers receiving 2.5k citations

Peers

W.J.M. Tax
Comparison fields: 5 of 92
  • Immunology 1.7k
  • Radiology, Nuclear Medicine and Imaging 985
  • Molecular Biology 860
  • Oncology 362
  • Rheumatology 260
Replace Susan R. Webb with:
Susan R. Webb United States
J M Depper United States
Paula S. Hochman United States
Wendy F. Davidson United States
J Bréard France
I.M. Roitt United States
B. M. Stadler Switzerland
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Beverley L. Pike Australia
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Susan R. Webb United States View profile →
Citations per field, relative to W.J.M. Tax
W.J.M. Tax · 1×
Citations per year, relative to W.J.M. Tax
W.J.M. Tax · 1×

Countries citing papers authored by W.J.M. Tax

Since Specialization
Citations

This map shows the geographic impact of W.J.M. Tax'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.M. Tax 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.M. Tax more than expected).

Fields of papers citing papers by W.J.M. Tax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W.J.M. Tax

This figure shows the co-authorship network connecting the top 25 collaborators of W.J.M. Tax. A scholar is included among the top collaborators of W.J.M. Tax 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.M. Tax. W.J.M. Tax 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 1
2 4
3
T-Cells as Antigen-Presenting Cells - a Function of Human Peripheral Double-Negative T-Cells
1
4 18
5 9
6 15
7 1
8 3
9 7
10 10
11 21
12 33
13 47
14 16
15 21
16 10
17
Polymorphism of Human Fc-Receptors for Mouse Igg1 and Igg2b
6
18
Invivo Application of Monoclonal-Antibodies Specific for Human T-Cell Subsets Permits the Modification of Immune Responsiveness in Rhesus-Monkeys
4
19 10
20 6

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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