Natalia Duque

454 citations
12 papers · 384 · h-index 6

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Acute Kidney Injury Research
    • Complement system in diseases

Papers in

    • Renal Diseases and Glomerulopathies 4
    • Chronic Kidney Disease and Diabetes 1
    • T-cell and B-cell Immunology 2
    • Complement system in diseases 2

Natalia Duque

12 papers receiving 376 citations

Peers

Natalia Duque
Comparison fields: 5 of 57
  • Nephrology 170
  • Immunology 119
  • Transplantation 12
  • Immunology and Allergy 22
  • Hematology 34
Replace M Ueno with:
M Ueno Japan
Yayoi Ogawa Japan
Ana Molina Spain
Satish Kumar Devarapu Germany
Ahmed Awad United States
E. Schrama Netherlands
Benoît Brilland France
Dita Maixnerová Czechia
Yeon S. Ahn United States
Akitsugu Ojima Japan
Natalia Duque relative to M Ueno Japan M Ueno's profile →
Citations per field
00.5×1.5×2.1×
M Ueno · 1×
Citations per year

Countries citing papers authored by Natalia Duque

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Duque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1997127
2 2000100
3 199641
4 200036
5 199835
6 199930
7 20195
8 20215
9 20242
10 20241
11 20231
12 19971

About Natalia Duque

Natalia Duque is a scholar working on Nephrology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Renal Diseases and Glomerulopathies (4 papers), Diabetes Management and Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Complement system in diseases (2 papers), Chronic Kidney Disease and Diabetes (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Nephrology (170 citations), Immunology (119 citations), Transplantation (12 citations), Immunology and Allergy (22 citations) and Hematology (34 citations). Natalia Duque has collaborated with scholars based in Spain and United States. Frequent co-authors include Jesús Egido, Carmen Gómez‐Guerrero, Alberto Ortíz, Pilar Justo, S. Gonzalez-Cuadrado, Corina Lorz, F Mampaso, Carlos Pastor‐Vargas, Fernando Vivanco and Julia Blanco. Their work appears in journals such as The Journal of Immunology, Journal of the American Society of Nephrology, Advances in Therapy, Nephrology and Primary care diabetes.

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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