Noemí Ruiz‐López

2.1k citations
36 papers · 1.6k indexed · h-index 21
Topics
Lipid metabolism and biosynthesis (23 papers)Fatty Acid Research and Health (11 papers)Biodiesel Production and Applications (6 papers)

In The Last Decade

Noemí Ruiz‐López

36 papers receiving 1.5k citations

Peers

Noemí Ruiz‐López
Comparison fields: 5 of 87
  • Molecular Biology 769
  • Biochemistry 719
  • Plant Science 511
  • Nutrition and Dietetics 255
  • Aquatic Science 253
Replace James R. Petrie with:
James R. Petrie Australia
Pushkar Shrestha Australia
Xiao Qiu Canada
Mónica Venegas‐Calerón Spain
Sarah Usher United Kingdom
Amine Abbadi Germany
Kathryn Lardizabal United States
Patricia Vrinten Japan
Hyun Uk Kim South Korea
Howard G. Damude United States
Noemí Ruiz‐López relative to James R. Petrie Australia James R. Petrie's profile →
Citations per field
00.5×1.5×
James R. Petrie · 1×
Citations per year

Countries citing papers authored by Noemí Ruiz‐López

Since Specialization
Citations

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

Fields of papers citing papers by Noemí Ruiz‐López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noemí Ruiz‐López. 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 Noemí Ruiz‐López. The network helps show where Noemí Ruiz‐López may publish in the future.

Co-authorship network of co-authors of Noemí Ruiz‐López

This figure shows the co-authorship network connecting the top 25 collaborators of Noemí Ruiz‐López. A scholar is included among the top collaborators of Noemí Ruiz‐López 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 Noemí Ruiz‐López. Noemí Ruiz‐López 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 1
2 4
3 16
4 12
5 54
6 6
7 7
8 50
9 23
10 82
11 72
12 32
13 102
14 53
15 11
16 61
17 3
18 11
19 27
20 29

About Noemí Ruiz‐López

Noemí Ruiz‐López is a scholar working on Biochemistry, Nutrition and Dietetics and Physiology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (23 papers), Fatty Acid Research and Health (11 papers) and Biodiesel Production and Applications (6 papers). The work is most often cited by research in Biochemistry (719 citations), Aquatic Science (253 citations) and Nutrition and Dietetics (255 citations). Noemí Ruiz‐López has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Johnathan A. Napier, Richard P. Haslam, Olga Sayanova, Sarah Usher, Enrique Martínez‐Force, Rafael Garcés, Mónica Venegas‐Calerón, Frédéric Beaudoin, Jean‐Philippe Ral and Qing Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.

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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