Fátima Almagro

872 citations
11 papers · 434 indexed · h-index 9
Topics
Lipoproteins and Cardiovascular Health (9 papers)Cancer, Lipids, and Metabolism (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
SpainChileItaly

In The Last Decade

Fátima Almagro

11 papers receiving 425 citations

Peers

Fátima Almagro
Comparison fields: 5 of 37
  • Surgery 394
  • Endocrinology, Diabetes and Metabolism 173
  • Cancer Research 154
  • Cardiology and Cardiovascular Medicine 107
  • Economics and Econometrics 51
Replace M.A.W. Umans-Eckenhausen with:
M.A.W. Umans-Eckenhausen Netherlands
D. Datta United Kingdom
Luis Irigoyen Spain
Konrad Schmidt Austria
Sven Bos Netherlands
Pedro Luis Ruíz Sáenz Spain
Khalid Al-Waili Oman
KaWah Li United Kingdom
Shubham Shan Canada
Fátima Almagro relative to M.A.W. Umans-Eckenhausen Netherlands M.A.W. Umans-Eckenhausen's profile →
Citations per field
00.5×2.9×
M.A.W. Umans-Eckenhausen · 1×
Citations per year

Countries citing papers authored by Fátima Almagro

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Almagro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Almagro

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 45
2 8
3 43
4 43
5 34
6 11
7 1
8 38
9 131
10 72
11 8

About Fátima Almagro

Fátima Almagro is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Cancer Research (154 citations) and Surgery (394 citations). Fátima Almagro has collaborated with scholars based in Spain, Chile and Italy. Frequent co-authors include Fernando Civeira, Miguel Pocovı́, Núria Plana, Emilio Ros, Francisco Fuentes, José Puzo, Estíbaliz Jarauta, Daniel Zambón, Sofía Pérez‐Calahorra and L. Masana. Their work appears in journals such as Scientific Reports, The American Journal of Cardiology and Clinica Chimica Acta.

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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