Daniel Bur

92 papers receiving 3.2k citations

Peers

Daniel Bur
Comparison fields: 5 of 120
  • Organic Chemistry 1.1k
  • Computational Theory and Mathematics 518
  • Molecular Biology 1.6k
  • Toxicology 74
  • Molecular Medicine 102
Replace Benoît Déprez with:
Benoît Déprez France
Sandra Gemma Italy
Stefania Butini Italy
Federico Gago Spain
Margherita Brindisi Italy
Thomas D. Meek United States
Fabrizio Giordanetto Sweden
Nadine Homeyer Germany
Jef Rozenski Belgium
Chresten R. Søndergaard Ireland
Daniel Bur relative to Benoît Déprez France Benoît Déprez's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Bur

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000321
2 1990195
3 2010156
4 2012128
5 1999109
6 2000101
7 1997100
8 199982
9 201782
10 200578
11 200675
12 199074
13 200467
14 199567
15 199966
16 201358
17 199957
18 200748
19 199946
20 200645

About Daniel Bur

Daniel Bur is a scholar working on Molecular Biology, Organic Chemistry, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Computational Theory and Mathematics, having authored 92 papers that have together received 3.3k indexed citations. Recurring topics across this work include Malaria Research and Control (15 papers), Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (9 papers), Carbohydrate Chemistry and Synthesis (9 papers), Chemical Synthesis and Analysis (9 papers), Renin-Angiotensin System Studies (8 papers), Enzyme Production and Characterization (8 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Computational Theory and Mathematics (518 citations), Molecular Biology (1.6k citations), Toxicology (74 citations) and Molecular Medicine (102 citations). Daniel Bur has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Margareta Zehnder, Carsten Bolm, Solange Meyer, Christoph A. Binkert, Walter Fischli, François Diederich, Christoph Boss, Thomas Weller, Patrick Hess and Alexander Treiber. Their work appears in journals such as Journal of Medicinal Chemistry, Helvetica Chimica Acta, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and CHIMIA International Journal for Chemistry.

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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