Ana M. Silva

729 total citations
24 papers, 577 citations indexed

About

Ana M. Silva is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ana M. Silva has authored 24 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ana M. Silva's work include Mitochondrial Function and Pathology (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Ana M. Silva is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Ana M. Silva collaborates with scholars based in Portugal, United Kingdom and Brazil. Ana M. Silva's co-authors include Paulo J. Oliveira, Maria S. Santos, Ana C. Moreira, Vilma A. Sardão, Gonçalo C. Pereira, Cátia V. Diogo, Filipa S. Carvalho, Pedro Monteiro, Catarina R. Oliveira and Teresa Cunha‐Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and British Journal of Pharmacology.

In The Last Decade

Ana M. Silva

23 papers receiving 563 citations

Peers

Ana M. Silva
Comparison fields: 5 of 111
  • Molecular Biology 262
  • Pathology and Forensic Medicine 85
  • Physiology 79
  • Cardiology and Cardiovascular Medicine 71
  • Endocrinology, Diabetes and Metabolism 50
Replace Mohamed Samir Ahmed Zaki with:
Mohamed Samir Ahmed Zaki Saudi Arabia
May Abu‐Taha Jordan
Yuliya Dobrydneva United States
Hebatallah A. Darwish Egypt
Lingzhi Zhang China
Y. Li China
Cécile Ingueneau France
Ioanna-Katerina S. Aggeli Greece
Cezar Rangel Pestana Brazil
Rawad Hodeify United Arab Emirates
Mohamed Samir Ahmed Zaki Saudi Arabia View profile →
Citations per field, relative to Ana M. Silva
Ana M. Silva · 1×
Citations per year, relative to Ana M. Silva
Ana M. Silva · 1×

Countries citing papers authored by Ana M. Silva

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Silva. A scholar is included among the top collaborators of Ana 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 Ana M. Silva. Ana 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
# Work Indexed citations
1 3
2 5
3 9
4 26
5 20
6
Illness perceptions and medication adherence in hypertension
1
7 90
8 33
9 22
10 42
11 2
12 32
13 19
14 49
15 112
16 8
17 23
18 30
19 17
20 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026