Natalia Nieto

6.9k citations
101 papers · 5.5k indexed · 2 hit papers · h-index 43

Natalia Nieto

95 papers receiving 5.5k citations

Hit Papers

Macrophage-derive...692012202620162021100200300400

Peers

Natalia Nieto
Comparison fields: 5 of 134
  • Hepatology 1.6k
  • Epidemiology 2.5k
  • Pharmacology 506
  • Pathology and Forensic Medicine 1.0k
  • Biochemistry 389
Replace Abdellah Mansouri with:
Abdellah Mansouri France
Kenichi Ikejima Japan
Mark J. Czaja United States
Kusum K. Kharbanda United States
Michael D. Wheeler United States
Isabelle Leclercq Belgium
Sung Hwan Ki South Korea
Maurizio Parola Italy
Shizhong Zheng China
William M. Pandak United States
Natalia Nieto relative to Abdellah Mansouri France Abdellah Mansouri's profile →
Citations per field
00.5×1.5×2.2×
Abdellah Mansouri · 1×
Citations per year

Countries citing papers authored by Natalia Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20238
4 202315
5 20230
6 20237
7
Macrophage-derived Osteopontin (SPP1) Protects From Nonalcoholic Steatohepatitisbreakdown →
202369
8 202221
9 202111
10 201651
11 2013135
12
CYP2E1 and oxidant stress in alcoholic and non-alcoholic fatty liver diseasebreakdown →
2012405
13 201113
14 20073
15 200417
16 200369
17 200349
18 200328
19 2002161
20 199946

About Natalia Nieto

Natalia Nieto is a scholar working on Hepatology, Biochemistry and Clinical Biochemistry, having authored 101 papers that have together received 5.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (44 papers), Liver physiology and pathology (33 papers), Alcohol Consumption and Health Effects (26 papers), Advanced Glycation End Products research (12 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Liver Disease and Transplantation (9 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Genomics, phytochemicals, and oxidative stress (7 papers). The work is most often cited by research in Hepatology (1.6k citations), Epidemiology (2.5k citations) and Pharmacology (506 citations). Natalia Nieto has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Arthur I. Cederbaum, Scott L. Friedman, Xiaodong Ge, Michal Carmiel-Haggai, Raquel Urtasun, Patricia Greenwel, Joseph George, Yongke Lu, Francisco Javier Cubero and Elisabetta Mormone. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

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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