Joost Haasnoot

2.1k citations
22 papers · 1.7k indexed · h-index 20
Topics
RNA Interference and Gene Delivery (17 papers)Advanced biosensing and bioanalysis techniques (6 papers)HIV Research and Treatment (5 papers)
Partner nations
NetherlandsRussiaGermany

In The Last Decade

Joost Haasnoot

22 papers receiving 1.7k citations

Peers

Joost Haasnoot
Comparison fields: 5 of 73
  • Molecular Biology 1.3k
  • Cancer Research 468
  • Genetics 295
  • Infectious Diseases 266
  • Virology 265
Replace Pierre V. Maillard with:
Pierre V. Maillard Switzerland
Alfredo Berzal‐Herranz Spain
Birgit Bradel-Tretheway United States
Adam W. Whisnant Germany
Finn Grey United Kingdom
Mark S. Parcells United States
Takuji Daito Japan
Elena Carnero Spain
Ismar R. Haga United Kingdom
Lauren M. Hook United States
Joost Haasnoot relative to Pierre V. Maillard Switzerland Pierre V. Maillard's profile →
Citations per field
00.5×4.4×
Pierre V. Maillard · 1×
Citations per year

Countries citing papers authored by Joost Haasnoot

Since Specialization
Citations

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

Fields of papers citing papers by Joost Haasnoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joost Haasnoot

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 109
3 56
4 109
5 112
6 19
7 75
8 42
9 6
10 173
11 35
12 251
13 22
14 53
15 233
16 70
17 45
18 44
19 50
20 91

About Joost Haasnoot

Joost Haasnoot is a scholar working on Virology, Cancer Research and Animal Science and Zoology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (17 papers), Advanced biosensing and bioanalysis techniques (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (265 citations), Cancer Research (468 citations) and Molecular Biology (1.3k citations). Joost Haasnoot has collaborated with scholars based in Netherlands, Russia and Germany. Frequent co-authors include Ben Berkhout, Ying Poi Liu, Nick C.T. Schopman, Ellen M. Westerhout, Peter Haan, Olivier ter Brake, Pavlina Konstantinova, W. de Vries, Marcel Prins and Walter Timo de Vries. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and FEBS Letters.

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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