Ariosto Silva

727 total citations
9 papers, 277 citations indexed

About

Ariosto Silva is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Ariosto Silva has authored 9 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Ariosto Silva's work include Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (3 papers) and Peptidase Inhibition and Analysis (2 papers). Ariosto Silva is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (3 papers) and Peptidase Inhibition and Analysis (2 papers). Ariosto Silva collaborates with scholars based in United States. Ariosto Silva's co-authors include Robert A. Gatenby, Parastou Foroutan, Sabrina Hassan, Robert J. Gillies, Yoonseok Kam, Pedro M. Enríquez‐Navas, Susan Minton, Epifanio Ruiz, Tuhin K. Das and Gary V. Martinez and has published in prestigious journals such as Blood, Scientific Reports and Science Translational Medicine.

In The Last Decade

Ariosto Silva

8 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ariosto Silva United States	5	136	132	80	77	56	9	277
Epifanio Ruiz United States	6	178 1.3×	137 1.0×	98 1.2×	91 1.2×	65 1.2×	6	351
Yu-Kang Cheng United States	6	199 1.5×	153 1.2×	45 0.6×	94 1.2×	55 1.0×	6	305
Chen-Hsiang Yeang Taiwan	7	158 1.2×	228 1.7×	26 0.3×	67 0.9×	52 0.9×	10	333
George D. Cresswell United Kingdom	8	166 1.2×	206 1.6×	28 0.3×	63 0.8×	47 0.8×	9	323
Kamil Lipiński Poland	4	113 0.8×	182 1.4×	20 0.3×	51 0.7×	59 1.1×	8	288
Gowri Vijayaraghavan United Kingdom	5	144 1.1×	257 1.9×	15 0.2×	100 1.3×	22 0.4×	8	380
James Martell United States	2	121 0.9×	78 0.6×	15 0.2×	201 2.6×	25 0.4×	12	313
Omer Gilan Australia	10	92 0.7×	253 1.9×	14 0.2×	93 1.2×	31 0.6×	13	362
Dana‐Adriana Botesteanu United States	6	47 0.3×	167 1.3×	15 0.2×	304 3.9×	30 0.5×	9	411
Annalyssa Long United States	2	178 1.3×	181 1.4×	7 0.1×	122 1.6×	19 0.3×	3	280

Countries citing papers authored by Ariosto Silva

Since Specialization

Citations

This map shows the geographic impact of Ariosto 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 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 Silva more than expected).

Fields of papers citing papers by Ariosto Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariosto Silva

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Enderling, Heiko, Philipp M. Altrock, Noemi Andor, et al.. (2020). High School Internship Program in Integrated Mathematical Oncology (HIP IMO): Five-Year Experience at Moffitt Cancer Center. Bulletin of Mathematical Biology. 82(7). 91–91. 2 indexed citations

2.

Tafreshi, Narges K., Robert W. Engelman, Mikalai M. Budzevich, et al.. (2020). Biodistribution and Multicompartment Pharmacokinetic Analysis of a Targeted α Particle Therapy. Molecular Pharmaceutics. 17(11). 4180–4188. 6 indexed citations

3.

Emmons, Michael F., Nagaraju Anreddy, Javier Cuevas, et al.. (2017). MTI-101 treatment inducing activation of Stim1 and TRPC1 expression is a determinant of response in multiple myeloma. Scientific Reports. 7(1). 2685–2685. 14 indexed citations

4.

Burger, Karen L., Mark B. Meads, Ariosto Silva, et al.. (2016). A CK1δ/CK1ε-to-Wnt/β-Catenin Circuit Is a Therapeutic Vulnerability in Primary and Drug Resistant Multiple Myeloma. Blood. 128(22). 2094–2094.

5.

Enríquez‐Navas, Pedro M., Yoonseok Kam, Tuhin K. Das, et al.. (2016). Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer. Science Translational Medicine. 8(327). 327ra24–327ra24. 225 indexed citations

6.

Silva, Ariosto, Timothy Jacobson, Mark B. Meads, Allison Distler, & Kenneth H. Shain. (2015). An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells. Journal of Visualized Experiments. e53070–e53070. 13 indexed citations

7.

Shain, Kenneth H., Ariosto Silva, Mark B. Meads, et al.. (2015). A Multidisciplinary Model Predicts Clinical Response in Relapsed Multiple Myeloma. Blood. 126(23). 501–501. 1 indexed citations

8.

Silva, Ariosto, Timothy Jacobson, Mark B. Meads, Allison Distler, & Kenneth H. Shain. (2015). An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells. Journal of Visualized Experiments. 3 indexed citations

9.

Tafreshi, Narges K., Ariosto Silva, Verónica Estrella, et al.. (2013). In Vivo and in Silico Pharmacokinetics and Biodistribution of a Melanocortin Receptor 1 Targeted Agent in Preclinical Models of Melanoma. Molecular Pharmaceutics. 10(8). 3175–3185. 13 indexed citations

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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