Yascara Grisel Luna Saavedra

419 citations
10 papers · 347 indexed · h-index 10
Topics
Lipoproteins and Cardiovascular Health (9 papers)Protease and Inhibitor Mechanisms (3 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
CanadaDenmarkKenya

In The Last Decade

Yascara Grisel Luna Saavedra

10 papers receiving 343 citations

Peers

Yascara Grisel Luna Saavedra
Comparison fields: 5 of 49
  • Surgery 293
  • Cancer Research 71
  • Molecular Biology 70
  • Immunology 48
  • Computational Theory and Mathematics 48
Replace Matthew Peach with:
Matthew Peach United States
Roman Covarrubias United States
Lourdes Palacios Spain
Meghan B. Davis United States
Chengyong Lei China
Ayako Mimata Japan
Xianli He China
Markus Bernhardt Germany
Pina Ziranu Italy
Yuwei Zhou China
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Yascara Grisel Luna Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Yascara Grisel Luna Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yascara Grisel Luna Saavedra. 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 Yascara Grisel Luna Saavedra. The network helps show where Yascara Grisel Luna Saavedra may publish in the future.

Co-authorship network of co-authors of Yascara Grisel Luna Saavedra

This figure shows the co-authorship network connecting the top 25 collaborators of Yascara Grisel Luna Saavedra. A scholar is included among the top collaborators of Yascara Grisel Luna Saavedra 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 Yascara Grisel Luna Saavedra. Yascara Grisel Luna Saavedra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 21
2 13
3 15
4 43
5 40
6 61
7 20
8 61
9 54
10 19

About Yascara Grisel Luna Saavedra

Yascara Grisel Luna Saavedra is a scholar working on Surgery, Cancer Research and Immunology and Allergy, having authored 10 papers that have together received 347 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Protease and Inhibitor Mechanisms (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Surgery (293 citations), Cancer Research (71 citations) and Computational Theory and Mathematics (48 citations). Yascara Grisel Luna Saavedra has collaborated with scholars based in Canada, Denmark and Kenya. Frequent co-authors include Nabil G. Seidah, Robert Dufour, Alexis Baass, Robert Day, Jean Davignon, Josée Hamelin, Jianbing Zhang, Martine Paquette, Francine Denizeau and Diana A. Averill‐Bates. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

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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