Gustavo M. Silva

1.3k citations
20 papers · 856 indexed · 1 hit paper · h-index 13
Topics
Ubiquitin and proteasome pathways (14 papers)Endoplasmic Reticulum Stress and Disease (9 papers)RNA modifications and cancer (7 papers)
Partner nations
United StatesBrazilJapan

In The Last Decade

Gustavo M. Silva

19 papers receiving 845 citations

Hit Papers

Deubiquitinating enzymes (DUBs): Regulation, homeostasis,...2021202620222024202150100150

Peers

Gustavo M. Silva
Comparison fields: 5 of 84
  • Molecular Biology 682
  • Cell Biology 181
  • Epidemiology 148
  • Oncology 135
  • Cancer Research 99
Replace Seung‐Keun Hong with:
Seung‐Keun Hong United States
Samir Acharya United States
Yuichiro Saito Japan
Séverine Celton‐Morizur France
Gina Fusaro United States
Quan Wu China
Eldon R. Jupe United States
Claire Bensard United States
Dena R. Yver United States
Andreas I. Papadakis Canada
Gustavo M. Silva relative to Seung‐Keun Hong United States Seung‐Keun Hong's profile →
Citations per field
00.5×5.5×
Seung‐Keun Hong · 1×
Citations per year

Countries citing papers authored by Gustavo M. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo M. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo M. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo M. Silva. A scholar is included among the top collaborators of Gustavo M. 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 Gustavo M. Silva. Gustavo M. 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 3
4 11
5 8
6 23
7
Deubiquitinating enzymes (DUBs): Regulation, homeostasis, and oxidative stress responsebreakdown →
186
8 22
9 6
10 52
11 28
12 40
13 26
14 91
15 158
16 19
17 51
18 12
19 81
20 38

About Gustavo M. Silva

Gustavo M. Silva is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 20 papers that have together received 856 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cell Biology (181 citations), Molecular Biology (682 citations) and Cancer Research (99 citations). Gustavo M. Silva has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Nathan Snyder, Christine Vogel, Daniel Finley, Luís Eduardo Soares Netto, Fábio C. Gozzo, Toshifumi Inada, Marilene Demasi, Cristiano L. P. Oliveira, Clécio F. Klitzke and Marcos Angelo Almeida Demasi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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