Daniel Silva

65 papers receiving 1.6k citations

Peers

Daniel Silva
Comparison fields: 5 of 146
  • Cancer Research 285
  • Geriatrics and Gerontology 40
  • Biological Psychiatry 27
  • Molecular Medicine 54
  • Molecular Biology 611
Replace Bharath Kumar Velmurugan with:
Bharath Kumar Velmurugan Taiwan
Ying Yin China
Jun Zeng China
Jerald Mahesh Kumar India
Ju‐Hee Lee South Korea
Seung Hyun Oh South Korea
Ji Hyung Chung South Korea
Jie Song China
Li Wu China
Daniel Silva relative to Bharath Kumar Velmurugan Taiwan Bharath Kumar Velmurugan's profile →
Citations per field
00.5×4.7×
Bharath Kumar Velmurugan · 1×
Citations per year

Countries citing papers authored by Daniel Silva

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel Silva Line = papers co-authored together Daniel Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 2010132
3 2007126
4 2010122
5 2013100
6 201088
7 196876
8 201059
9 201459
10 201156
11 201350
12 201048
13 201143
14 201241
15 201941
16 201435
17 201935
18 201730
19 201227
20 201127

About Daniel Silva

Daniel Silva is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Cancer Research and Physiology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Pancreatic function and diabetes (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Chemical Reaction Mechanisms (4 papers), Petri Nets in System Modeling (3 papers), Advanced Drug Delivery Systems (3 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). The work is most often cited by research in Cancer Research (285 citations), Geriatrics and Gerontology (40 citations), Biological Psychiatry (27 citations), Molecular Medicine (54 citations) and Molecular Biology (611 citations). Daniel Silva has collaborated with scholars based in Brazil, Portugal and France. Frequent co-authors include Mauro Sola‐Penna, Patrícia Zancan, Wagner Santos Coelho, Raquel Guimarães Coelho, Daniel A. Marinho, Lilian Sales Gomez, Mônica M. Marinho-Carvalho, José Marco‐Contelles, Abdelouahid Samadi and Mourad Chioua. Their work appears in journals such as Annals of Intensive Care, IUBMB Life, SAE technical papers on CD-ROM/SAE technical paper series, Biochimie and Colloids and Surfaces B Biointerfaces.

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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