Fátima Ortega

658 citations
14 papers · 307 · h-index 10

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Cancer therapeutics and mechanisms 4
    • Biochemical and Molecular Research 3
    • Phenothiazines and Benzothiazines Synthesis and Activities 2

Fátima Ortega

12 papers receiving 303 citations

Peers

Fátima Ortega
Comparison fields: 5 of 50
  • Infectious Diseases 164
  • Molecular Medicine 23
  • Epidemiology 124
  • Organic Chemistry 86
  • Pharmacology 32
Replace Amy S.T. Tong with:
Amy S.T. Tong New Zealand
Elena Bogatcheva United States
Pedro E. A. da Silva Brazil
Elena Jiménez Spain
David Barros-Aguirre Spain
Bangxing Wang China
Ana Ribeiro Italy
Mai A. Bailey United States
Allen Casey United States
Stanislav Huszár Slovakia
Fátima Ortega relative to Amy S.T. Tong New Zealand Amy S.T. Tong's profile →
Citations per field
00.5×12×
Amy S.T. Tong · 1×
Citations per year

Countries citing papers authored by Fátima Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201377
2 201440
3 201632
4 202132
5 202028
6 201725
7 201522
8 201720
9 201611
10 20209
11 19988
12 20053
13 20250
14
Historia Clínica: Nueva metodología para el registro de los datos
20020

About Fátima Ortega

Fátima Ortega is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Pharmacology and Organic Chemistry, having authored 14 papers that have together received 307 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Cancer therapeutics and mechanisms (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Biochemical and Molecular Research (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Mycobacterium research and diagnosis (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (164 citations), Molecular Medicine (23 citations), Epidemiology (124 citations), Organic Chemistry (86 citations) and Pharmacology (32 citations). Fátima Ortega has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Joaquín Rullás, Chunli Chen, Lluís Ballell, Ulrika S. H. Simonsson, Santiago Ferrer, Salvatore Alfonso, Fabrizio Manetti, Alessandro De Logu, Scott G. Franzblau and Maria Rosalia Pasca. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacokinetics and Pharmacodynamics, ChemMedChem, CPT Pharmacometrics & Systems Pharmacology and Antimicrobial Agents and Chemotherapy.

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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