Marı́a J. Gil

4.0k citations
45 papers · 3.1k indexed · h-index 27
Topics
Adipokines, Inflammation, and Metabolic Diseases (12 papers)Adipose Tissue and Metabolism (9 papers)Cardiovascular Disease and Adiposity (8 papers)
Partner nations
SpainItalyHong Kong

In The Last Decade

Marı́a J. Gil

45 papers receiving 3.1k citations

Peers

Marı́a J. Gil
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 1.3k
  • Physiology 938
  • Epidemiology 722
  • Molecular Biology 720
  • Endocrinology, Diabetes and Metabolism 591
Replace Saula Vigili de Kreutzenberg with:
Saula Vigili de Kreutzenberg Italy
José J. Fuster Spain
Christos Chatziantoniou France
Adrian Quan Canada
Yasuhiro Sumida Japan
Mengliu Yang China
Yasunori Takata Japan
Thien T. Tran United States
Prabhakara R. Nagareddy United States
Toshihiko Inukai Japan
Marı́a J. Gil relative to Saula Vigili de Kreutzenberg Italy Saula Vigili de Kreutzenberg's profile →
Citations per field
00.5×1.5×
Saula Vigili de Kreutzenberg · 1×
Citations per year

Countries citing papers authored by Marı́a J. Gil

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a J. Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a J. 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 Marı́a J. Gil. The network helps show where Marı́a J. Gil may publish in the future.

Co-authorship network of co-authors of Marı́a J. Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a J. Gil. A scholar is included among the top collaborators of Marı́a J. 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 Marı́a J. Gil. Marı́a J. 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 27
3 55
4 22
5 3
6 157
7 18
8 73
9 100
10 70
11 10
12 71
13 65
14 169
15 28
16 12
17 23
18 111
19 10
20 14

About Marı́a J. Gil

Marı́a J. Gil is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Endocrine and Autonomic Systems, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (9 papers) and Cardiovascular Disease and Adiposity (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Physiology (938 citations) and Endocrinology, Diabetes and Metabolism (591 citations). Marı́a J. Gil has collaborated with scholars based in Spain, Italy and Hong Kong. Frequent co-authors include Gema Frühbeck, Javier Gómez‐Ambrosi, Victoria Catalán, Javier Salvador, Camilo Silva, Amaia Rodrı́guez, Ignacío Monreal, Javier Dı́ez, Beatriz Ramírez and Fernando Rotellar. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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