Loes Plaisier

412 total citations
2 papers, 45 citations indexed

About

Loes Plaisier is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Loes Plaisier has authored 2 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Genetics. Recurrent topics in Loes Plaisier's work include Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (1 paper) and Virus-based gene therapy research (1 paper). Loes Plaisier is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (1 paper) and Virus-based gene therapy research (1 paper). Loes Plaisier collaborates with scholars based in Netherlands, Norway and Germany. Loes Plaisier's co-authors include Kai W. Wucherpfennig, Christian Freund, Eric Spierings, Vladimir Vrbanac, Jana Sticht, Johanne T. Jacobsen, Catharina Van Elssen, Jessica R. Ingram, Mohammad Rashidian and Andrew M. Tager and has published in prestigious journals such as Journal of Nuclear Medicine and Tissue Antigens.

In The Last Decade

Loes Plaisier

2 papers receiving 43 citations

Peers

Loes Plaisier

IMMUN

ONCOL

RNMI

MB

HEMAT

Kristin Vazzana United States

Maria Dasovich

Jose Saro Switzerland

Gwendoline Grondin France

A. Digiacomo Italy

Hannah Reimann Germany

Ahmed S. Fahad United States

Laurence Laigle France

Sarah E. Davidson United Kingdom

Kristin Vazzana United States

Loes Plaisier

23 ×1.0

IMMUN

32 ×1.4

ONCOL

23 ×1.1

RNMI

11 ×0.7

MB

11 ×1.8

HEMAT

Citations per year, relative to Loes Plaisier Loes Plaisier (= 1×) peers Kristin Vazzana

Countries citing papers authored by Loes Plaisier

Since Specialization

Citations

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

Fields of papers citing papers by Loes Plaisier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loes Plaisier

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

All Works

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2 of 2 papers shown

1.

Elssen, Catharina Van, Mohammad Rashidian, Vladimir Vrbanac, et al.. (2017). Noninvasive Imaging of Human Immune Responses in a Human Xenograft Model of Graft-Versus-Host Disease. Journal of Nuclear Medicine. 58(6). 1003–1008. 44 indexed citations

2.

Plaisier, Loes, et al.. (2013). The novel HLA‐A*24:215 allele, identified by sequencing‐based typing of a stem cell transplant patient and the sibling donor. Tissue Antigens. 82(2). 138–139. 1 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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