A. Aimon

2.3k citations
23 papers · 1.8k · 1 hit paper · h-index 16

Impact in

Papers in

A. Aimon

23 papers receiving 1.7k citations

A. Aimon's Hit Papers

Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors 2023 · 126 citations
1260+1+2Years since publication4080120

Peers

A. Aimon
Comparison fields: 5 of 82
  • Computational Theory and Mathematics 566
  • Infectious Diseases 513
  • Organic Chemistry 391
  • Molecular Biology 485
  • Nephrology 51
Replace Efrat Resnick with:
Efrat Resnick Israel
D. Fearon United Kingdom
Paul Gehrtz Germany
Daniel Zaidman Israel
Ed Griffen United Kingdom
Benjamin Perry United Kingdom
Tika R. Malla United Kingdom
Louise E. Dunnett United Kingdom
Francesc X. Ruiz United States
Stefania Ferrari Italy
A. Aimon relative to Efrat Resnick Israel Efrat Resnick's profile →
Citations per field
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Efrat Resnick · 1×
Citations per year

Countries citing papers authored by A. Aimon

Since Specialization
Citations

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

Fields of papers citing papers by A. Aimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020436
2 2019265
3 2021197
4 2021194
5 2021146
6
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
Hit paper breakdown →
2023126
7 201275
8 201754
9 202153
10 201539
11 201430
12 202424
13 202223
14 202323
15 202020
16 202017
17 201815
18 201813
19 202010
20 202210

About A. Aimon

A. Aimon is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Infectious Diseases, Materials Chemistry and Molecular Biology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Chemical Synthesis and Analysis (7 papers), Enzyme Structure and Function (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Organic Chemistry Synthesis Methods (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Advanced Synthetic Organic Chemistry (3 papers) and Cyclopropane Reaction Mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (566 citations), Infectious Diseases (513 citations), Organic Chemistry (391 citations), Molecular Biology (485 citations) and Nephrology (51 citations). A. Aimon has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Frank von Delft, Adam S. Nelson, R. Skyner, A. Douangamath, Louise E. Dunnett, D. Fearon, T.J. Gorrie-Stone, J. Brandão-Neto, O. Gileadi and Joseph A. Newman. Their work appears in journals such as Nature Communications, Angewandte Chemie International Edition, Science Advances, Molecules and Cell stem cell.

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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