Edgar Jacoby

5.4k citations
95 papers · 4.4k · h-index 32

Impact in

Papers in

Edgar Jacoby

94 papers receiving 4.1k citations

Peers

Edgar Jacoby
Comparison fields: 5 of 121
  • Computational Theory and Mathematics 2.4k
  • Molecular Biology 1.3k
  • Endocrine and Autonomic Systems 44
  • Physical and Theoretical Chemistry 72
  • Organic Chemistry 200
Replace Claudio N. Cavasotto with:
Claudio N. Cavasotto Argentina
Giovanni Bottegoni Italy
Jiankun Lyu United States
María Paula Magariños United Kingdom
Mark Davies United Kingdom
Louisa J. Bellis United Kingdom
Yurii S. Moroz Ukraine
Hongmao Sun United States
Sai J. Ganesan United States
George Papadatos United Kingdom
Edgar Jacoby relative to Claudio N. Cavasotto Argentina Claudio N. Cavasotto's profile →
Citations per field
00.5×2×3×4.4×
Claudio N. Cavasotto · 1×
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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993370
2 2006290
3 2004278
4 2004257
5 2004224
6 2002212
7 2009191
8 2006180
9 2005157
10 2007146
11 2006130
12 2007129
13 201197
14 200581
15 200278
16 200568
17 200556
18 199654
19 200052
20 201552

About Edgar Jacoby

Edgar Jacoby is a scholar working on Computational Theory and Mathematics, Molecular Biology, Epidemiology, Organic Chemistry and Endocrine and Autonomic Systems, having authored 95 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (62 papers), Receptor Mechanisms and Signaling (10 papers), Protein Structure and Dynamics (9 papers), Respiratory viral infections research (7 papers), Chemical Synthesis and Analysis (4 papers), Biochemical and Molecular Research (4 papers), HIV/AIDS drug development and treatment (3 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (2.4k citations), Molecular Biology (1.3k citations), Endocrine and Autonomic Systems (44 citations), Physical and Theoretical Chemistry (72 citations) and Organic Chemistry (200 citations). Edgar Jacoby has collaborated with scholars based in Switzerland, Belgium and United States. Frequent co-authors include Ansgar Schuffenhauer, Pierre Acklin, Markus Bredel, Kamal Azzaoui, David J. Wilton, Jérôme Hert, Peter Willett, Michael F. M. Engels, Axel Wollmer and Nathan Brown. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, 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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