Vinícius M. Alves

3.1k citations
53 papers · 1.5k indexed · 1 hit paper · h-index 23
Topics
Computational Drug Discovery Methods (31 papers)Animal testing and alternatives (10 papers)Contact Dermatitis and Allergies (6 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology

In The Last Decade

Vinícius M. Alves

46 papers receiving 1.5k citations

Hit Papers

STopTox: An in Silico Alternative to Animal Testing for A...202220262023202420224080120

Peers

Vinícius M. Alves
Comparison fields: 5 of 130
  • Computational Theory and Mathematics 838
  • Molecular Biology 587
  • Organic Chemistry 244
  • Materials Chemistry 169
  • Small Animals 155
Replace Rodolpho C. Braga with:
Rodolpho C. Braga Brazil
David Allen United States
Chun-Wei Tung Taiwan
E.S. Salmina Germany
R.M. McDowell United States
Jiřı́ Klimeš Czechia
Vinícius Gonçalves Maltarollo Brazil
A.P. Walker United Kingdom
Sameh S. Elhady Saudi Arabia
Vinícius M. Alves relative to Rodolpho C. Braga Brazil Rodolpho C. Braga's profile →
Citations per field
00.5×1.5×
Rodolpho C. Braga · 1×
Citations per year

Countries citing papers authored by Vinícius M. Alves

Since Specialization
Citations

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

Fields of papers citing papers by Vinícius M. Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinícius M. Alves. 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 Vinícius M. Alves. The network helps show where Vinícius M. Alves may publish in the future.

Co-authorship network of co-authors of Vinícius M. Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Vinícius M. Alves. A scholar is included among the top collaborators of Vinícius M. Alves 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 Vinícius M. Alves. Vinícius M. Alves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 5
4 6
5 9
6 17
7 37
8 33
9 27
10 40
11 10
12 19
13 15
14 58
15 184
16 56
17 76
18 52
19 83
20 18

About Vinícius M. Alves

Vinícius M. Alves is a scholar working on Computational Theory and Mathematics, Small Animals and Dermatology, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Animal testing and alternatives (10 papers) and Contact Dermatitis and Allergies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (838 citations), Small Animals (155 citations) and Dermatology (136 citations). Vinícius M. Alves has collaborated with scholars based in United States, Brazil and Ukraine. Frequent co-authors include Eugene Muratov, Carolina Horta Andrade, Alexander Tropsha, Rodolpho C. Braga, Denis Fourches, Nicole Kleinstreuer, Judy Strickland, Luciano M. Lião, Daniel Korn and Alexey Zakharov. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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