Lara Marques

454 citations
16 papers · 220 indexed · 1 hit paper · h-index 6

Lara Marques

13 papers receiving 212 citations

Hit Papers

Advancing Precision Medicine: A Review of Innovative In S...1242024202620254080120

Peers

Lara Marques
Comparison fields: 5 of 92
  • Microbiology 15
  • Health Informatics 3
  • Pharmacology 15
  • Computational Theory and Mathematics 23
  • Rehabilitation 9
Replace Mariana Pereira with:
Mariana Pereira Portugal
Guanzhen Wang China
Amirhossein Sheida Iran
Guize Feng China
Mir S. Adil United States
Stephanie Bishop United States
Cezar Login Romania
Joaquim Ramis Spain
Shan Cong China
Tulake Wuniqiemu China
Lara Marques relative to Mariana Pereira Portugal Mariana Pereira's profile →
Citations per field
00.5×3.8×
Mariana Pereira · 1×
Citations per year

Countries citing papers authored by Lara Marques

Since Specialization
Citations

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

Fields of papers citing papers by Lara Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Lara 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 Lara Marques Line = papers co-authored together Lara Marques links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 20250
3 20240
4
Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcarebreakdown →
2024124
5 20241
6 20242
7 20241
8 20239
9 202316
10 20232
11 20233
12 20231
13 20222
14 202240
15 202213
16 20226

About Lara Marques

Lara Marques is a scholar working on Biological Psychiatry, Animal Science and Zoology and Pharmacology, having authored 16 papers that have together received 220 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Pharmacological Effects and Assays (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Asthma and respiratory diseases (3 papers), Analytical Chemistry and Chromatography (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Computational Drug Discovery Methods (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Microbiology (15 citations), Health Informatics (3 citations) and Pharmacology (15 citations). Lara Marques has collaborated with scholars based in Portugal and United States. Frequent co-authors include Nuno Vale, Joana Santos, Mariana Pereira, Bárbara Costa, Stephan Schmidt, Abigail Silva, Isabel Silva, Rui Amaral Mendes, Pedro Vieira‐Baptista and Carlos Sousa. Their work appears in journals such as Pharmaceutics, International Journal of Molecular Sciences, Nanomaterials, Membranes and Journal of Clinical Medicine.

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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