Natalia Martínez‐Gil

798 citations
22 papers · 616 indexed · h-index 12

Natalia Martínez‐Gil

22 papers receiving 611 citations

Peers

Natalia Martínez‐Gil
Comparison fields: 5 of 80
  • Molecular Biology 391
  • Ophthalmology 231
  • Radiology, Nuclear Medicine and Imaging 99
  • Cancer Research 87
  • Neurology 53
Replace Yuanyuan Tu with:
Yuanyuan Tu China
Xu Zha China
Carlo Gesualdo Italy
Limin Gu China
Lei Cai China
Shuhua Fu China
Beatriz Villarejo‐Zori Spain
Haripriya Vittal Rao United States
Cheng‐mao Lin United States
Randa S. Eshaq United States
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Citations per year

Countries citing papers authored by Natalia Martínez‐Gil

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Martínez‐Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Martínez‐Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Martínez‐Gil. A scholar is included among the top collaborators of Natalia Martínez‐Gil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Martínez‐Gil. Natalia Martínez‐Gil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 5
4 4
5 8
6 26
7
High-fat consumption accelerates retinal degeneration and alters the gut microbiome in retinitis pigmentosa mice
1
8 28
9 8
10 93
11 27
12
Dietary intake of Coenzyme Q10 is able to slow down retinal degeneration in a model of retinitis pigmentosa.
1
13 32
14 24
15 199
16 42
17 21
18 14
19 30
20 37

About Natalia Martínez‐Gil

Natalia Martínez‐Gil is a scholar working on Ophthalmology, Neurology and Physiology, having authored 22 papers that have together received 616 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (14 papers), Retinal Development and Disorders (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Ophthalmology (231 citations), Neurology (53 citations) and Cancer Research (87 citations). Natalia Martínez‐Gil has collaborated with scholars based in Spain, United States and China. Frequent co-authors include Francisco J. Romero, Javier Sancho-Pellúz, Jorge M. Barcia, Miguel Flores‐Bellver, Nicolás Cuenca, Pedro Lax, José Manuel García‐Verdugo, Victoria Maneu, Oksana Kutsyr and M. Díaz-Llopis. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Progress in Retinal and Eye 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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