María Ortiz

2.8k citations
59 papers · 1.2k · h-index 19

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Protein Degradation and Inhibitors 7
    • Pancreatic and Hepatic Oncology Research 5
    • Colorectal Cancer Treatments and Studies 3

María Ortiz

58 papers receiving 1.2k citations

Peers

María Ortiz
Comparison fields: 5 of 101
  • Hematology 244
  • Gastroenterology 90
  • Oncology 335
  • Molecular Biology 648
  • Immunology 179
Replace Mikihiro Fujiya with:
Mikihiro Fujiya Japan
Boyd B. Scott United States
Claudio Fiocchi United States
Alkwin Wanders Sweden
Niamh Leonard Ireland
Ian C. Lawrance Australia
Zhirong Zeng China
Thomas Judge United States
Chang Suk Kang South Korea
Núria Planell Spain
María Ortiz relative to Mikihiro Fujiya Japan Mikihiro Fujiya's profile →
Citations per field
00.5×1.5×2.0×
Mikihiro Fujiya · 1×
Citations per year

Countries citing papers authored by María Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by María Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016176
2 2019144
3 201975
4 201374
5 200664
6 201457
7 201555
8 202042
9 201739
10 199137
11 200833
12 201532
13 200031
14 199426
15 202022
16 201522
17 201121
18 201321
19 201818
20 201318

About María Ortiz

María Ortiz is a scholar working on Molecular Biology, Oncology, Epidemiology, Hematology and Surgery, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Glycosylation and Glycoproteins Research (8 papers), Protein Degradation and Inhibitors (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Galectins and Cancer Biology (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Hematology (244 citations), Gastroenterology (90 citations), Oncology (335 citations), Molecular Biology (648 citations) and Immunology (179 citations). María Ortiz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Anjan Thakurta, Fadi Towfic, Rosa Peracaula, Erin Flynt, Esther Llop, Joan Figueras, José Manuel Fernández‐Real, Josep Puig, Massimo Federici and Carme de Bolós. Their work appears in journals such as Blood, Clinical & Translational Oncology, European Thyroid Journal, Infection Control and Hospital Epidemiology and British Journal of Haematology.

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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