Pierre Acklin

27 papers receiving 1.6k citations

Peers

Pierre Acklin
Comparison fields: 5 of 120
  • Computational Theory and Mathematics 1.0k
  • Genetics 194
  • Spectroscopy 246
  • Hematology 155
  • Pharmacology 119
Replace Gennadiy I. Poda with:
Gennadiy I. Poda United States
Patrizia Crivori Italy
Stefan Senger United Kingdom
Nikolaus Stiefl Switzerland
Michael Czarniecki United States
Timothy J. Ritchie United Kingdom
Chenzhong Liao China
Giuliano Berellini United States
Linli Li China
Graeme R. Robb United Kingdom
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Citations per field
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Gennadiy I. Poda · 1×
Citations per year

Countries citing papers authored by Pierre Acklin

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Acklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004257
2 2004223
3 2002212
4 2006181
5 2003153
6 1999120
7 200478
8 200568
9 200467
10 200266
11 199158
12 200556
13 200435
14 199931
15 199626
16 200425
17 200524
18 199824
19 199821
20 200520

About Pierre Acklin

Pierre Acklin is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Pharmacology, Hematology and Biochemistry, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Traditional and Medicinal Uses of Annonaceae (3 papers), Protein Structure and Dynamics (3 papers), Metal complexes synthesis and properties (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers), Bioinformatics and Genomic Networks (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Genetics (194 citations), Spectroscopy (246 citations), Hematology (155 citations) and Pharmacology (119 citations). Pierre Acklin has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Edgar Jacoby, Ansgar Schuffenhauer, Khalil Azzaoui, David J. Wilton, Peter Willett, Jérôme Hert, Philipp Floersheim, René Lattmann, Anthony E. Klon and Meir Glick. Their work appears in journals such as Helvetica Chimica Acta, Bioorganic & Medicinal Chemistry Letters, Combinatorial Chemistry & High Throughput Screening, Angewandte Chemie International Edition and Journal of Chemical Information and Modeling.

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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