Natasja G. de Groot

105 total papers · 3.1k total citations
77 papers, 2.4k citations indexed

About

Natasja G. de Groot is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Natasja G. de Groot has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Immunology, 22 papers in Virology and 12 papers in Molecular Biology. Recurrent topics in Natasja G. de Groot's work include T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (44 papers) and Immunotherapy and Immune Responses (24 papers). Natasja G. de Groot is often cited by papers focused on T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (44 papers) and Immunotherapy and Immune Responses (24 papers). Natasja G. de Groot collaborates with scholars based in Netherlands, United States and United Kingdom. Natasja G. de Groot's co-authors include Ronald E. Bontrop, Ńel Otting, Gaby G. M. Doxiadis, Corrine M. C. Heijmans, Nanine de Groot, Riet Noort, Jon J. van Rood, Annemiek J. M. de Vos‐Rouweler, David I. Watkins and Ernst J. Verschoor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Natasja G. de Groot

76 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natasja G. de Groot 1.7k 477 411 232 231 77 2.4k
Ńel Otting 2.2k 1.3× 710 1.5× 527 1.3× 270 1.2× 273 1.2× 90 3.0k
Gaby G. M. Doxiadis 1.5k 0.9× 472 1.0× 287 0.7× 246 1.1× 210 0.9× 65 2.1k
Scott Thomson 1.1k 0.7× 476 1.0× 588 1.4× 582 2.5× 325 1.4× 81 2.7k
Shigeo Honjo 585 0.3× 341 0.7× 161 0.4× 311 1.3× 158 0.7× 109 1.7k
L. J. Kennedy 1.1k 0.6× 255 0.5× 424 1.0× 433 1.9× 995 4.3× 110 2.8k
Karin E. Peterson 1.3k 0.8× 307 0.6× 661 1.6× 462 2.0× 193 0.8× 101 3.0k
Stephen Norley 698 0.4× 982 2.1× 304 0.7× 599 2.6× 161 0.7× 73 1.7k
Ernst J. Verschoor 746 0.4× 858 1.8× 435 1.1× 1.1k 4.6× 397 1.7× 109 2.7k
Norval W. King 663 0.4× 425 0.9× 197 0.5× 532 2.3× 326 1.4× 34 1.8k
Rüdiger Dörries 852 0.5× 272 0.6× 323 0.8× 391 1.7× 131 0.6× 54 2.1k

Countries citing papers authored by Natasja G. de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Natasja G. de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasja G. de Groot. 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 Natasja G. de Groot. The network helps show where Natasja G. de Groot may publish in the future.

Co-authorship network of co-authors of Natasja G. de Groot

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

All Works

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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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