Daniela Ortiz

31 papers receiving 1.3k citations

Peers

Daniela Ortiz
Comparison fields: 5 of 105
  • Rheumatology 413
  • Biological Psychiatry 47
  • Physiology 376
  • Biochemistry 101
  • Clinical Biochemistry 81
Replace Cristiane Matté with:
Cristiane Matté Brazil
Zhi‐Zhong Guan China
Fabrizia Bamonti Italy
Carla Battisti Italy
Michiko Oka Japan
Dušica Pavlović Serbia
Tomoko Oeda Japan
Adriano Martimbianco de Assis Brazil
Saadet Gümüşlü Türkiye
Karin Yurko‐Mauro United States
Daniela Ortiz relative to Cristiane Matté Brazil Cristiane Matté's profile →
Citations per field
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Cristiane Matté · 1×
Citations per year

Countries citing papers authored by Daniela Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002318
2 2002102
3 200895
4 200879
5 200466
6 200565
7 199962
8 200256
9 200449
10 200148
11
S-adenosyl methionine: A connection between nutritional and genetic risk factors for neurodegeneration in Alzheimer's disease.
200744
12 200543
13 200542
14 200436
15 200533
16 200430
17 200329
18 200424
19
Dietary supplementation with apple juice concentrate alleviates the compensatory increase in glutathione synthase transcription and activity that accompanies dietary- and genetically-induced oxidative stress.
200420
20 200319

About Daniela Ortiz

Daniela Ortiz is a scholar working on Rheumatology, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Nutrition and Dietetics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (15 papers), Alzheimer's disease research and treatments (10 papers), Retinoids in leukemia and cellular processes (7 papers), Antioxidant Activity and Oxidative Stress (4 papers), Trace Elements in Health (3 papers), Mitochondrial Function and Pathology (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Rheumatology (413 citations), Biological Psychiatry (47 citations), Physiology (376 citations), Biochemistry (101 citations) and Clinical Biochemistry (81 citations). Daniela Ortiz has collaborated with scholars based in United States and Colombia. Frequent co-authors include Thomas B. Shea, Eugene Rogers, Flaubert Tchantchou, David J. Ashline, Michael V. Graves, Robert J. Nicolosi, Fatma J. Ekinci, Jean‐Bosco Tagne, Srikanth Kakumanu and Rebecca Ho. Their work appears in journals such as Journal of Alzheimer s Disease, NeuroMolecular Medicine, Free Radical Biology and Medicine, Molecular Pharmaceutics and Neurochemical Research.

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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