Peter J. Dandliker

3.4k citations
28 papers · 2.1k indexed · h-index 22
Topics
DNA and Nucleic Acid Chemistry (7 papers)Advanced biosensing and bioanalysis techniques (5 papers)Computational Drug Discovery Methods (4 papers)

In The Last Decade

Peter J. Dandliker

28 papers receiving 2.0k citations

Peers

Peter J. Dandliker
Comparison fields: 5 of 96
  • Molecular Biology 1.3k
  • Organic Chemistry 461
  • Materials Chemistry 443
  • Polymers and Plastics 435
  • Oncology 337
Replace Geneviève Pratviel with:
Geneviève Pratviel France
Ewald Terpetschnig United States
Akihito Yamano Japan
Nicolas Delsuc France
Julien Furrer Switzerland
Shigeori Takenaka Japan
Jaroslav Šebestı́k Czechia
Alessandro Moretto Italy
Elizabeth A. Hillard France
Glauco Ponterini Italy
Peter J. Dandliker relative to Geneviève Pratviel France Geneviève Pratviel's profile →
Citations per field
00.5×5.6×
Geneviève Pratviel · 1×
Citations per year

Countries citing papers authored by Peter J. Dandliker

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Dandliker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Dandliker. 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 Peter J. Dandliker. The network helps show where Peter J. Dandliker may publish in the future.

Co-authorship network of co-authors of Peter J. Dandliker

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Dandliker. A scholar is included among the top collaborators of Peter J. Dandliker 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 Peter J. Dandliker. Peter J. Dandliker 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 90
2 58
3 69
4 81
5 150
6 22
7 21
8 33
9 16
10 33
11 5
12 4
13 6
14 22
15 30
16 71
17 49
18 268
19 98
20 40

About Peter J. Dandliker

Peter J. Dandliker is a scholar working on Molecular Biology, Polymers and Plastics and Computational Theory and Mathematics, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Polymers and Plastics (435 citations), Molecular Biology (1.3k citations) and Organic Chemistry (461 citations). Peter J. Dandliker has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jacqueline K. Barton, R. Erik Holmlin, François Diederich, Maurice Gross, A. Louati, Elizabeth M. Sanford, Jean‐Paul Gisselbrecht, Carolyn B. Knobler, Matthew Richards and Patrick J. Curran. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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