Daniel A. Bustos

21 papers receiving 367 citations

Peers

Daniel A. Bustos
Comparison fields: 5 of 61
  • Public Health, Environmental and Occupational Health 149
  • Pharmacology 48
  • Computational Theory and Mathematics 68
  • Organic Chemistry 110
  • Infectious Diseases 48
Replace Derek J. Knight with:
Derek J. Knight United Kingdom
Godwin Akpeko Dziwornu South Africa
Lorena Ramos Freitas de Sousa Brazil
Peggoty Mutai Kenya
Jacques Falquet Switzerland
C. Lugt Netherlands
Tarandeep Kaur India
R. C. GUPTA India
Simon M. N. Efange Germany
Catherine Grosdemange‐Billiard France
Daniel A. Bustos relative to Derek J. Knight United Kingdom Derek J. Knight's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Bustos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Bustos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199084
2 198941
3 200039
4 199130
5 199729
6 199028
7 200426
8 201823
9 200414
10 200012
11 198912
12 201110
13 198610
14 20196
15 19865
16 20215
17 19884
18 20242
19 20242
20 20122

About Daniel A. Bustos

Daniel A. Bustos is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Natural product bioactivities and synthesis (4 papers), Malaria Research and Control (3 papers), Amphibian and Reptile Biology (3 papers), Molecular spectroscopy and chirality (2 papers), Biological Activity of Diterpenoids and Biflavonoids (2 papers), Phytochemistry and Biological Activities (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (149 citations), Pharmacology (48 citations), Computational Theory and Mathematics (68 citations), Organic Chemistry (110 citations) and Infectious Diseases (48 citations). Daniel A. Bustos has collaborated with scholars based in Argentina, United States and Chile. Frequent co-authors include Mankil Jung, Hala N. ElSohly, James D. McChesney, Xun Li, Gabriela E. Feresin, Alejandro Tapia, Wilbur K. Milhous, Guillermo Schmeda‐Hirschmann, Eduardo A. Sanabria and Luís Astudillo. Their work appears in journals such as Phytochemistry, Canadian Journal of Chemistry, Tetrahedron, Journal of Medicinal Chemistry and Journal of Drug Delivery Science and Technology.

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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