Daniel Obrecht

4.1k citations
80 papers · 2.6k indexed · h-index 33

Daniel Obrecht

79 papers receiving 2.4k citations

Peers

Daniel Obrecht
Comparison fields: 5 of 87
  • Microbiology 306
  • Organic Chemistry 1.4k
  • Molecular Medicine 213
  • Molecular Biology 1.7k
  • Pharmaceutical Science 127
Replace Daniel S. Pilch with:
Daniel S. Pilch United States
Heinz E. Moser United States
Martin Empting Germany
Jérôme Guillemont France
Dev P. Arya United States
Steven J. Sucheck United States
Tsutomu Akama Japan
Neal C. Brown United States
Jean‐Luc Décout France
Malvika Kaul United States
Daniel Obrecht relative to Daniel S. Pilch United States Daniel S. Pilch's profile →
Citations per field
00.5×2.8×
Daniel S. Pilch · 1×
Citations per year

Countries citing papers authored by Daniel Obrecht

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Obrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20213
2 20208
3 202058
4 201910
5 201739
6 201753
7 201285
8 20087
9 2008103
10 200714
11 200675
12 2006107
13 2004147
14 200332
15 199720
16 199416
17 198728
18
Eine einfache Synthese von 2-Oxazolin-5-onen und verwandten Verbindungen via Amidcyclisierung
198223
19 19821
20 198132

About Daniel Obrecht

Daniel Obrecht is a scholar working on Molecular Medicine, Organic Chemistry and Microbiology, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (37 papers), Click Chemistry and Applications (13 papers), Antibiotic Resistance in Bacteria (9 papers), Synthesis and Catalytic Reactions (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Synthesis of heterocyclic compounds (8 papers), Antimicrobial Peptides and Activities (7 papers) and Asymmetric Synthesis and Catalysis (7 papers). The work is most often cited by research in Microbiology (306 citations), Organic Chemistry (1.4k citations) and Molecular Medicine (213 citations). Daniel Obrecht has collaborated with scholars based in Switzerland, United Kingdom and Netherlands. Frequent co-authors include John A. Robinson, Kerstin Moehle, Heinz Heimgartner, Thierry Masquelin, Klaus Müller, Rudi Fasan, Ricardo L. A. Dias, Jan W. Vrijbloed, Peter Schönholzer and Oliver Zerbe. Their work appears in journals such as Helvetica Chimica Acta, CHIMIA International Journal for Chemistry, Tetrahedron Letters, Bioorganic & Medicinal Chemistry and ChemBioChem.

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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