Niek P. van Til

1.2k citations
44 papers · 879 indexed · h-index 18
  • Genetics top 5%
    • Virus-based gene therapy research 23
    • Neurogenetic and Muscular Disorders Research 3
    • RNA Interference and Gene Delivery 11
    • CRISPR and Genetic Engineering 11
    • Biochemical and Molecular Research 6
    • Virus-based gene therapy research 23
    • Neurogenetic and Muscular Disorders Research 3
    • CAR-T cell therapy research 13
  • Rheumatology top 10%
    • Lysosomal Storage Disorders Research 8
    • Immunotherapy and Immune Responses 3

Niek P. van Til

42 papers receiving 864 citations

Peers

Niek P. van Til
Comparison fields: 5 of 83
  • Genetics 352
  • Molecular Biology 476
  • Genetics 72
  • Oncology 172
  • Rheumatology 94
Replace Sacha B. Geutskens with:
Sacha B. Geutskens Netherlands
Gabriella Cotugno Italy
Eric Dobrzynski United States
Jürgen Schymeinsky Germany
Takehiko Koji Japan
Kateřina Jirsová Czechia
Corinna Warburton Canada
Jennifer Tran United States
Sabrina Tafuro Italy
Rémi J. Creusot United States
Niek P. van Til relative to Sacha B. Geutskens Netherlands Sacha B. Geutskens's profile →
Citations per field
00.5×2.5×
Sacha B. Geutskens · 1×
Citations per year

Countries citing papers authored by Niek P. van Til

Since Specialization
Citations

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

Fields of papers citing papers by Niek P. van Til

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niek P. van Til. 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 Niek P. van Til. The network helps show where Niek P. van Til may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Niek P. van Til, 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 Niek P. van Til Line = papers co-authored together Niek P. van Til links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20246
3 20241
4 20233
5 20236
6 20235
7 202212
8 20229
9 202219
10 20219
11 202012
12 20193
13 201815
14 201814
15 201816
16 20174
17 201346
18 201126
19 201047
20 200534

About Niek P. van Til

Niek P. van Til is a scholar working on Genetics, Oncology and Developmental Neuroscience, having authored 44 papers that have together received 879 indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), CAR-T cell therapy research (13 papers), RNA Interference and Gene Delivery (11 papers), CRISPR and Genetic Engineering (11 papers), Lysosomal Storage Disorders Research (8 papers), Biochemical and Molecular Research (6 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Genetics (352 citations), Molecular Biology (476 citations) and Genetics (72 citations). Niek P. van Til has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jurgen Seppen, Gerard Wagemaker, Ronald P.J. Oude Elferink, Trudi P. Visser, Johan K. Hiralall, Norbert Looije, Stefan Nierkens, Wouter H. Lamers, Rana Yadak and Merel Stok. Their work appears in journals such as Blood, PLoS ONE and International Journal of Molecular Sciences.

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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