Ariosto S. Silva

2.3k citations
21 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Multiple Myeloma Research and Treatments (9 papers)Protein Degradation and Inhibitors (6 papers)Mathematical Biology Tumor Growth (5 papers)

In The Last Decade

Ariosto S. Silva

20 papers receiving 1.1k citations

Hit Papers

Adaptive Therapy20092026201420202009100200300400500

Peers

Ariosto S. Silva
Comparison fields: 5 of 98
  • Cancer Research 526
  • Molecular Biology 479
  • Modeling and Simulation 339
  • Oncology 303
  • Genetics 187
Replace Dewey Kim with:
Dewey Kim United States
Hiroshi Haeno Japan
Nancy G. Azizian United States
Thomas G. Paulson United States
Irina Kareva United States
Eliezer Shochat Switzerland
Alexander Krasnitz United States
Amanda Tracz United States
Amin Yaqubie United States
Louise J. Barber United Kingdom
Ariosto S. Silva relative to Dewey Kim United States Dewey Kim's profile →
Citations per field
00.5×3.1×
Dewey Kim · 1×
Citations per year

Countries citing papers authored by Ariosto S. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Ariosto S. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariosto S. 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 Ariosto S. Silva. The network helps show where Ariosto S. Silva may publish in the future.

Co-authorship network of co-authors of Ariosto S. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Ariosto S. Silva. A scholar is included among the top collaborators of Ariosto S. 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 Ariosto S. Silva. Ariosto S. Silva 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 1
2 0
3 2
4 4
5 2
6 10
7 13
8 16
9 15
10 3
11 42
12 111
13 28
14 15
15 1
16 9
17 56
18
Adaptive Therapybreakdown →
557
19 171
20 18

About Ariosto S. Silva

Ariosto S. Silva is a scholar working on Modeling and Simulation, Hematology and Cancer Research, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Protein Degradation and Inhibitors (6 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Modeling and Simulation (339 citations), Cancer Research (526 citations) and Oncology (303 citations). Ariosto S. Silva has collaborated with scholars based in United States, Brazil and Puerto Rico. Frequent co-authors include Robert A. Gatenby, Robert J. Gillies, B. Roy Frieden, José Andrés Yunes, Susan Minton, Yoonseok Kam, Kenneth H. Shain, Rachid Baz, Lia Perez and Timothy Jacobson. Their work appears in journals such as Nature Communications, Bioinformatics and Cancer Research.

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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