Edgar Jacoby

5.3k citations
88 papers · 4.0k indexed · h-index 31

Impact in

Papers in

    • Computational Drug Discovery Methods 47
    • Chemical Synthesis and Analysis 17
    • Protein Structure and Dynamics 14
    • Receptor Mechanisms and Signaling 14
    • Bioinformatics and Genomic Networks 12
    • Genetics, Bioinformatics, and Biomedical Research 6

Edgar Jacoby

87 papers receiving 3.8k citations

Peers

Edgar Jacoby
Comparison fields: 5 of 144
  • Computational Theory and Mathematics 2.0k
  • Molecular Biology 2.8k
  • Pharmacology 229
  • Pharmacology 441
  • Spectroscopy 392
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Citations per field
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Citations per year

Countries citing papers authored by Edgar Jacoby

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Jacoby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993353
2 2006275
3 2004253
4 2004239
5 2004204
6 2002193
7 2009178
8 2006167
9 2005135
10 2007127
11 2006122
12 2007121
13 201191
14 200571
15 200270
16 200557
17 199654
18 200551
19 200248
20 201547

About Edgar Jacoby

Edgar Jacoby is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Cellular and Molecular Neuroscience, having authored 88 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (47 papers), Chemical Synthesis and Analysis (17 papers), Protein Structure and Dynamics (14 papers), Receptor Mechanisms and Signaling (14 papers), Microbial Natural Products and Biosynthesis (13 papers), Bioinformatics and Genomic Networks (12 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Molecular Biology (2.8k citations), Pharmacology (229 citations), Pharmacology (441 citations) and Spectroscopy (392 citations). Edgar Jacoby has collaborated with scholars based in Switzerland, Belgium and United States. Frequent co-authors include Ansgar Schuffenhauer, Pierre Acklin, Markus Bredel, Khalil Azzaoui, Jérôme Hert, Peter Willett, David J. Wilton, Michael Engels, Axel Wollmer and Péter Krüger. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Protein Engineering Design and Selection and ACS Medicinal Chemistry 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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