Arnulf Dorn

2.9k citations
27 papers · 2.4k indexed · 2 hit papers · h-index 19
Topics
Malaria Research and Control (18 papers)Research on Leishmaniasis Studies (8 papers)Computational Drug Discovery Methods (7 papers)

In The Last Decade

Arnulf Dorn

27 papers receiving 2.4k citations

Hit Papers

A multiplicity of CCAAT box-binding proteins198720262000201319872004200400600

Peers

Arnulf Dorn
Comparison fields: 5 of 105
  • Public Health, Environmental and Occupational Health 1.1k
  • Molecular Biology 1.0k
  • Organic Chemistry 494
  • Computational Theory and Mathematics 438
  • Oncology 242
Replace Kohei Yokoyama with:
Kohei Yokoyama United States
Linda S. Brinen United States
Julie A. Frearson United Kingdom
Cecília P. Sanchez Germany
G B Henderson United States
Bryan T. Mott United States
Dana E. Vanderwall United States
Michael W. Mather United States
Lyann M. B. Ursos United States
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Arnulf Dorn relative to Kohei Yokoyama United States Kohei Yokoyama's profile →
Citations per field
00.5×1.5×2.1×
Kohei Yokoyama · 1×
Citations per year

Countries citing papers authored by Arnulf Dorn

Since Specialization
Citations

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

Fields of papers citing papers by Arnulf Dorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnulf Dorn

This figure shows the co-authorship network connecting the top 25 collaborators of Arnulf Dorn. A scholar is included among the top collaborators of Arnulf Dorn 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 Arnulf Dorn. Arnulf Dorn 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 10
2 79
3 49
4 44
5 1
6
Identification of an antimalarial synthetic trioxolane drug development candidatebreakdown →
507
7 27
8 47
9 21
10 32
11 32
12 21
13 80
14 129
15 85
16 15
17 260
18 17
19 15
20 2

About Arnulf Dorn

Arnulf Dorn is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Molecular Biology, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Malaria Research and Control (18 papers), Research on Leishmaniasis Studies (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.1k citations), Computational Theory and Mathematics (438 citations) and Parasitology (126 citations). Arnulf Dorn has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Jacques Bollekens, Diane Mathis, Christophe Benoıst, Jonathan L. Vennerstrom, Hugues Matile, Robert G. Ridley, Sudha Rani Vippagunta, C Jaquet, Heinrich Urwyler and Reto Brun. Their work appears in journals such as Nature, Cell and Journal of Medicinal Chemistry.

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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