Martin Eberle

854 citations
24 papers · 632 · h-index 12

Impact in

    • Asymmetric Synthesis and Catalysis
    • Radical Photochemical Reactions
    • Synthetic Organic Chemistry Methods
    • Oxidative Organic Chemistry Reactions
    • Click Chemistry and Applications
    • Computational Drug Discovery Methods

Papers in

Martin Eberle

24 papers receiving 608 citations

Peers

Martin Eberle
Comparison fields: 5 of 72
  • Organic Chemistry 349
  • Computational Theory and Mathematics 100
  • Biomedical Engineering 152
  • Molecular Biology 229
  • Spectroscopy 50
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Citations per field
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Citations per year

Countries citing papers authored by Martin Eberle

Since Specialization
Citations

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

Fields of papers citing papers by Martin Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014167
2 201191
3 199083
4 198841
5 196039
6 201231
7 198829
8 198629
9 202217
10 202115
11 201415
12 198812
13 202010
14 20059
15 20208
16 20237
17 20037
18 20076
19 20244
20 19873

About Martin Eberle

Martin Eberle is a scholar working on Organic Chemistry, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 24 papers that have together received 632 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Analytical Chemistry and Chromatography (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Synthetic Organic Chemistry Methods (3 papers), Computational Drug Discovery Methods (2 papers), Synthesis and biological activity (2 papers), 2D Materials and Applications (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Organic Chemistry (349 citations), Computational Theory and Mathematics (100 citations), Biomedical Engineering (152 citations), Molecular Biology (229 citations) and Spectroscopy (50 citations). Martin Eberle has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Dieter Seebàch, Martin Missbach, Giorgio Calderari, D. Arigoni, Richard Lawton, Edgar Jacoby, Karl‐Heinz Altmann, Peter Meier, Cristina Nieto‐Oberhuber and Markus Hartenfeller. Their work appears in journals such as Helvetica Chimica Acta, Journal of the American Chemical Society, Journal of Chemical Information and Modeling, Tetrahedron Letters and Organic Letters.

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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