M. Maciá

989 citations
37 papers · 688 · h-index 15

Impact in

Papers in

M. Maciá

36 papers receiving 671 citations

Peers

M. Maciá
Comparison fields: 5 of 109
  • Toxicology 136
  • Endocrinology, Diabetes and Metabolism 102
  • Genetics 64
  • Small Animals 42
  • Epidemiology 145
Replace Stefan Weiler with:
Stefan Weiler Switzerland
Omar I. Saadah Saudi Arabia
Gaël Le Roux France
Frederico Rafael Moreira Brazil
R Hoigné Switzerland
Fred Saibil Canada
Robert R. LaBadie United States
Eva Montané Spain
Nualanong Visitsunthorn Thailand
Jeong‐Hee Choi South Korea
M. Maciá relative to Stefan Weiler Switzerland Stefan Weiler's profile →
Citations per field
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Stefan Weiler · 1×
Citations per year

Countries citing papers authored by M. Maciá

Since Specialization
Citations

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

Fields of papers citing papers by M. Maciá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016106
2 201193
3 201577
4 201551
5 200545
6 200444
7 199336
8 200027
9
Comparative bioavailability of a dispersible formulation of diclofenac and finding of double plasma peaks.
199524
10 201818
11 200117
12 202116
13 199115
14 199614
15 201914
16 200711
17 20239
18 20059
19
Effects of losartan on the treatment of posttransplant erythrocytosis.
19988
20
Androgens for the treatment of anemia in peritoneal dialysis patients.
19988

About M. Maciá

M. Maciá is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Immunology, Toxicology and Epidemiology, having authored 37 papers that have together received 688 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (5 papers), Pharmaceutical studies and practices (4 papers), Blood Pressure and Hypertension Studies (3 papers), Diabetes Management and Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immunotoxicology and immune responses (2 papers), Pediatric Pain Management Techniques (2 papers) and Heavy Metal Exposure and Toxicity (2 papers). The work is most often cited by research in Toxicology (136 citations), Endocrinology, Diabetes and Metabolism (102 citations), Genetics (64 citations), Small Animals (42 citations) and Epidemiology (145 citations). M. Maciá has collaborated with scholars based in Spain, Japan and Netherlands. Frequent co-authors include Francisco J. de Abajo, Verónica Bryant, Belén Oliva, Jim Slattery, Bharat Thakrar, A Wisniewski, Román Pérez-Fernández, Tomás García‐Caballero, Samuel Seoane and M. Hernández‐Mayoral. Their work appears in journals such as Drug Safety, Archives of Environmental Contamination and Toxicology, Clinical Infectious Diseases, American Journal of Nephrology and Annals of the Rheumatic Diseases.

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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