Anne Kleijn

1.7k citations
15 papers · 692 · h-index 13

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 6
    • PARP inhibition in cancer therapy 2
    • RNA Interference and Gene Delivery 3
    • Extracellular vesicles in disease 2
    • Viral Infectious Diseases and Gene Expression in Insects 2

Anne Kleijn

15 papers receiving 682 citations

Peers

Anne Kleijn
Comparison fields: 5 of 67
  • Genetics 157
  • Oncology 274
  • Cancer Research 150
  • Genetics 237
  • Immunology 159
Replace Catherine P. Langford with:
Catherine P. Langford United States
Jordi Martínez‐Quintanilla Spain
Cheryl H. Cui United States
Maria C. Speranza United States
Surya Murty United States
Matheus H. W. Crommentuijn Netherlands
Akihito Inagaki United States
Yvonne Kew United States
Alena Cristina Jaime‐Ramirez United States
Neha Kamran United States
Anne Kleijn relative to Catherine P. Langford United States Catherine P. Langford's profile →
Citations per field
00.5×1.5×2.2×
Catherine P. Langford · 1×
Citations per year

Countries citing papers authored by Anne Kleijn

Since Specialization
Citations

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

Fields of papers citing papers by Anne Kleijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anne Kleijn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anne Kleijn Line = papers co-authored together Anne Kleijn links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015163
2 2014103
3 201862
4 201561
5 201459
6 201350
7 201548
8 201733
9 201129
10 201528
11 201618
12 201713
13 201412
14 202010
15 20253

About Anne Kleijn

Anne Kleijn is a scholar working on Oncology, Molecular Biology, Genetics, Genetics and Immunology, having authored 15 papers that have together received 692 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (6 papers), Glioma Diagnosis and Treatment (6 papers), RNA Interference and Gene Delivery (3 papers), Immune cells in cancer (3 papers), Extracellular vesicles in disease (2 papers), PARP inhibition in cancer therapy (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (157 citations), Oncology (274 citations), Cancer Research (150 citations), Genetics (237 citations) and Immunology (159 citations). Anne Kleijn has collaborated with scholars based in Netherlands, United States and Poland. Frequent co-authors include Martine L.M. Lamfers, Clemens M.F. Dirven, Jenneke J. Kloezeman, Sieger Leenstra, Giulia Fulci, Jeroen de Vrij, Reno Debets, Rutger K. Balvers, Marco W. Schilham and Manja Litjens. Their work appears in journals such as PLoS ONE, Neuro-Oncology, Clinical Cancer Research, Journal of Translational Medicine and Radiology.

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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