Daniela Marques

467 citations
14 papers · 373 · h-index 10

Impact in

Papers in

    • Barrier Structure and Function Studies 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Adipose Tissue and Metabolism 3
    • Alzheimer's disease research and treatments 1

Daniela Marques

14 papers receiving 356 citations

Peers

Daniela Marques
Comparison fields: 5 of 64
  • Physiology 131
  • Endocrine and Autonomic Systems 15
  • Pharmacology 36
  • Neurology 17
  • Biochemistry 15
Replace Zahra Hajializadeh with:
Zahra Hajializadeh Iran
Torbjörn Persson Sweden
Jeonghyun Kim South Korea
Ashley Selman United States
Phillip F. Giannopoulos United States
Adriana Alarcón‐Aguilar Mexico
Jordi Alom Spain
Junichi Takasaki Japan
Xuxu Zheng China
Duraiswamy Basavan India
Daniela Marques relative to Zahra Hajializadeh Iran Zahra Hajializadeh's profile →
Citations per field
00.5×1.5×2×2.4×
Zahra Hajializadeh · 1×
Citations per year

Countries citing papers authored by Daniela Marques

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018153
2 202153
3 202034
4 202026
5 202120
6 202320
7 202316
8 201511
9 202311
10 202410
11 20198
12 20248
13 20142
14 20221

About Daniela Marques

Daniela Marques is a scholar working on Neurology, Physiology, Neurology, Management Science and Operations Research and Epidemiology, having authored 14 papers that have together received 373 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (3 papers), Attachment and Relationship Dynamics (2 papers), Psychometric Methodologies and Testing (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Physiology (131 citations), Endocrine and Autonomic Systems (15 citations), Pharmacology (36 citations), Neurology (17 citations) and Biochemistry (15 citations). Daniela Marques has collaborated with scholars based in Portugal, United Kingdom and Germany. Frequent co-authors include Armanda E. Santos, Teresa C.P. Dinis, Paula Isabel Moreira, Cláudia Pereira, Jorge A. R. Salvador, Cláudia Nunes dos Santos, Paulo Matafome, Raquel Maria Fino Seiça, Tiago Rodrigues and Inês Figueira. Their work appears in journals such as Nutrients, Nature Communications, International Journal of Evidence-Based Healthcare, Molecules and Obesity Surgery.

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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