Geert Westerhuis

818 total citations · 1 hit paper
6 papers, 613 citations indexed

About

Geert Westerhuis is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Geert Westerhuis has authored 6 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 5 papers in Immunology and 1 paper in Genetics. Recurrent topics in Geert Westerhuis's work include Hematopoietic Stem Cell Transplantation (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Geert Westerhuis is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Geert Westerhuis collaborates with scholars based in Netherlands. Geert Westerhuis's co-authors include Willem E. Fibbe, Roel Willemze, Alwine B. Kruisselbrink, Alma J. Nauta, Ellie G.A. Lurvink, René E. M. Toes, Ton N. Schumacher, Leonie M. van Duivenvoorde, Moniek de Witte and Jacob M. van Laar and has published in prestigious journals such as Blood and Experimental Hematology.

In The Last Decade

Geert Westerhuis

6 papers receiving 601 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Donor-derived mesenchymal stem cells are immunogenic in an allogeneic host and stimulate donor graft rejection in a nonmyeloablative setting

2006 545 citations Alma J. Nauta, Geert Westerhuis et al. Blood profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geert Westerhuis Netherlands	3	485	258	156	122	111	6	613
Basabi Maitra United States	5	586 1.2×	228 0.9×	173 1.1×	131 1.1×	126 1.1×	5	698
Soraya Tabera Spain	7	460 0.9×	187 0.7×	206 1.3×	164 1.3×	92 0.8×	10	676
Bujun Liu China	5	561 1.2×	171 0.7×	220 1.4×	80 0.7×	117 1.1×	5	725
Norbert-Claude Gorin France	9	472 1.0×	255 1.0×	201 1.3×	116 1.0×	59 0.5×	9	757
Aisha Nasef France	7	621 1.3×	278 1.1×	207 1.3×	86 0.7×	163 1.5×	8	793
Erika Deak Germany	10	337 0.7×	170 0.7×	126 0.8×	69 0.6×	58 0.5×	11	528
Shengqin Ye China	5	432 0.9×	227 0.9×	240 1.5×	49 0.4×	80 0.7×	6	639
Roxana Bistrian Germany	8	458 0.9×	222 0.9×	226 1.4×	80 0.7×	96 0.9×	11	806
Shengguo You China	7	645 1.3×	257 1.0×	195 1.3×	128 1.0×	211 1.9×	11	813
Raghavan Chinnadurai United States	11	482 1.0×	227 0.9×	172 1.1×	65 0.5×	175 1.6×	18	758

Countries citing papers authored by Geert Westerhuis

Since Specialization

Citations

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

Fields of papers citing papers by Geert Westerhuis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert Westerhuis

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

All Works

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6 of 6 papers shown

1.

Westerhuis, Geert, Moniek de Witte, Ton N. Schumacher, René E. M. Toes, & Willem E. Fibbe. (2014). Barriers to chimerism after major histocompatibility complex-mismatched stem cell transplantation: A potential role for heterologous immunity. Experimental Hematology. 42(9). 753–760. 1 indexed citations

2.

Westerhuis, Geert, et al.. (2009). Persisting NK cell alloreactivity in the presence of long-term stable hematopoietic chimerism. Experimental Hematology. 37(6). 739–743. 1 indexed citations

3.

Flierman, Roelof, Geert Westerhuis, Marjolijn Hameetman, et al.. (2007). Targeting host B-cell immune responses by persistent donor NK-cell alloreactivity following nonmyeloablative allogeneic stem cell transplantation. Blood. 109(12). 5524–5525. 2 indexed citations

4.

Nauta, Alma J., Geert Westerhuis, Alwine B. Kruisselbrink, et al.. (2006). Donor-derived mesenchymal stem cells are immunogenic in an allogeneic host and stimulate donor graft rejection in a nonmyeloablative setting. Blood. 108(6). 2114–2120. 545 indexed citations breakdown →

5.

Westerhuis, Geert, et al.. (2005). Long-term mixed chimerism after immunologic conditioning and MHC-mismatched stem-cell transplantation is dependent on NK-cell tolerance. Blood. 106(6). 2215–2220. 62 indexed citations

6.

Westerhuis, Geert, et al.. (2004). Hematopoietic Chimerism Following Non-Myeoloablative Stem Cell Transplantation Is Dependent on NK Cell Tolerance.. Blood. 104(11). 45–45. 2 indexed citations

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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