Alan Sousa da Silva

3.9k citations
8 papers · 2.5k indexed · 1 hit paper · h-index 7
Topics
Protein Structure and Dynamics (4 papers)Genomics and Phylogenetic Studies (3 papers)Enzyme Structure and Function (3 papers)

In The Last Decade

Alan Sousa da Silva

8 papers receiving 2.5k citations

Hit Papers

ACPYPE - AnteChamber PYthon Parser interfacE2012202620162021201250010001.5k2.0k

Peers

Alan Sousa da Silva
Comparison fields: 5 of 140
  • Molecular Biology 1.4k
  • Computational Theory and Mathematics 468
  • Organic Chemistry 414
  • Materials Chemistry 321
  • Oncology 185
Replace Devleena Shivakumar with:
Devleena Shivakumar United States
Art E. Cho South Korea
Yixiang Cao United States
Natalya S. Bogatyreva Russia
Chaya S. Rapp United States
David K. Chalmers Australia
Laura Goracci Italy
David S. Cerutti United States
Paul Labute Canada
Wenbo Yu United States
Alan Sousa da Silva relative to Devleena Shivakumar United States Devleena Shivakumar's profile →
Citations per field
00.5×1.5×2.5×
Devleena Shivakumar · 1×
Citations per year

Countries citing papers authored by Alan Sousa da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Alan Sousa da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan Sousa da Silva. 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 Alan Sousa da Silva. The network helps show where Alan Sousa da Silva may publish in the future.

Co-authorship network of co-authors of Alan Sousa da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Sousa da Silva. A scholar is included among the top collaborators of Alan Sousa da Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan Sousa da Silva. Alan Sousa da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 53
2 23
3 12
4
ACPYPE - AnteChamber PYthon Parser interfacEbreakdown →
2289
5 95
6 17
7 14
8 2

About Alan Sousa da Silva

Alan Sousa da Silva is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology, having authored 8 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Computational Theory and Mathematics (468 citations), Toxicology (73 citations) and Molecular Biology (1.4k citations). Alan Sousa da Silva has collaborated with scholars based in United Kingdom, Brazil and Belgium. Frequent co-authors include Wim Vranken, Geerten W. Vuister, Elmar Krieger, Christian A.E.M. Spronk, Jurgen F. Doreleijers, Tim J. Stevens, Sander B. Nabuurs, Gert Vriend, María Martin and Cécile Pereira. Their work appears in journals such as Molecular Biology and Evolution, PROTEOMICS and Journal of Inorganic Biochemistry.

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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