Pierre Acklin

2.1k citations
28 papers · 1.6k · h-index 19

Impact in

Papers in

Pierre Acklin

27 papers receiving 1.5k citations

Peers

Pierre Acklin
Comparison fields: 5 of 117
  • Computational Theory and Mathematics 963
  • Genetics 185
  • Hematology 169
  • Pharmacology 123
  • Spectroscopy 222
Replace Gennadiy Poda with:
Gennadiy Poda United States
Julian Blagg United Kingdom
Anna Vulpetti Switzerland
Jeffrey J. Sutherland United States
Nikolaus Stiefl Switzerland
Chenzhong Liao China
Jacques Hamon Switzerland
Linli Li China
Sérgio M. Marques Czechia
James M. Woolven United Kingdom
Pierre Acklin relative to Gennadiy Poda United States Gennadiy Poda's profile →
Citations per field
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Gennadiy 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004239
2 2004204
3 2002193
4 2006167
5 2003139
6 1999116
7 200471
8 200461
9 200259
10 200557
11 199155
12 200551
13 200433
14 199928
15 199625
16 200424
17 199821
18 199819
19 200518
20 200517

About Pierre Acklin

Pierre Acklin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Pharmacology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Traditional and Medicinal Uses of Annonaceae (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (3 papers), Protein Structure and Dynamics (3 papers), Click Chemistry and Applications (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Computational Theory and Mathematics (963 citations), Genetics (185 citations), Hematology (169 citations), Pharmacology (123 citations) and Spectroscopy (222 citations). Pierre Acklin has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Edgar Jacoby, Ansgar Schuffenhauer, Khalil Azzaoui, Jérôme Hert, Peter Willett, David J. Wilton, Philipp Floersheim, René Lattmann, Meir Glick and Anthony E. Klon. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Helvetica Chimica Acta, Combinatorial Chemistry & High Throughput Screening, Angewandte Chemie International Edition 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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