Gabriel Silva

2.3k citations
40 papers · 1.7k indexed · h-index 21

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Forensic and Genetic Research
    • Race, Genetics, and Society
    • Genetic diversity and population structure
  • Toxicology top 5%

Papers in

Gabriel Silva

38 papers receiving 1.7k citations

Peers

Gabriel Silva
Comparison fields: 5 of 144
  • Genetics 604
  • Toxicology 38
  • Pharmacology 75
  • Molecular Biology 578
  • Cancer Research 117
Replace Alice Maria Costa Martins with:
Alice Maria Costa Martins Brazil
Juan Carlos Álvarez Spain
Jo Kitawaki Japan
Yun Zhang China
Anders Bredberg Sweden
Duane R. Schultz United States
Chandri Yandava United States
Bonnie Thiel United States
Robert Chervenak United States
Pamela Brown United Kingdom
Gabriel Silva relative to Alice Maria Costa Martins Brazil Alice Maria Costa Martins's profile →
Citations per field
00.5×3.4×
Alice Maria Costa Martins · 1×
Citations per year

Countries citing papers authored by Gabriel Silva

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Gabriel Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gabriel Silva Line = papers co-authored together Gabriel Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20245
5 20241
6 20242
7 202312
8 20234
9 20234
10 20233
11 202023
12 201873
13 201834
14 201817
15 201738
16 201621
17 201574
18 200866
19 200799
20 200483

About Gabriel Silva

Gabriel Silva is a scholar working on Toxicology, Molecular Medicine, Molecular Biology, Parasitology and Genetics, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), Forensic and Genetic Research (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Retinoids in leukemia and cellular processes (4 papers), Genetic Associations and Epidemiology (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Genetics (604 citations), Toxicology (38 citations), Pharmacology (75 citations), Molecular Biology (578 citations) and Cancer Research (117 citations). Gabriel Silva has collaborated with scholars based in Brazil, United States and Sweden. Frequent co-authors include Michael F. Seldin, John W. Belmont, Peter K. Gregersen, Ana Lúcia Fachin, Mozart Marins, Seung Joon Baek, Rick A. Kittles, Marta E. Alarcón‐Riquelme, Chao Tian and Russell Shigeta. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Human Genetics, Journal of Enzyme Inhibition and Medicinal Chemistry and Circulation.

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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