Ana Senra

1.8k total citations · 1 hit paper
33 papers, 879 citations indexed

About

Ana Senra is a scholar working on Physiology, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Ana Senra has authored 33 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Endocrine and Autonomic Systems and 6 papers in Molecular Biology. Recurrent topics in Ana Senra's work include Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (7 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Ana Senra is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (7 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Ana Senra collaborates with scholars based in Spain, Norway and United Kingdom. Ana Senra's co-authors include Carlos Diéguez, Rubén Nogueiras, Miguel López, Johan Fernø, Daniel Beiroa, Manuel Serrano, Rosalı́a Gallego, Mónica Imbernón, Daniel Herranz and Javier Salvador and has published in prestigious journals such as Biomaterials, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ana Senra

32 papers receiving 873 citations

Hit Papers

GLP-1 Agonism Stimulates Brown Adipose Tissue Thermogenes... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Ana Senra
Comparison fields: 5 of 79
  • Physiology 405
  • Molecular Biology 255
  • Endocrinology, Diabetes and Metabolism 225
  • Endocrine and Autonomic Systems 217
  • Epidemiology 208
Replace Takako Kawanami with:
Takako Kawanami Japan
Abu Saleh Md Moin Bahrain
Erika Hubina Hungary
Eva Rother Germany
An‐Jing Ren China
Grace W.C. Cheung Canada
Timothy J. Burton United Kingdom
Christine F. Conover United States
Adam J. Bree United States
Robin L. Mozell United States
Takako Kawanami Japan View profile →
Citations per field, relative to Ana Senra
Ana Senra · 1×
Citations per year, relative to Ana Senra
Ana Senra · 1×

Countries citing papers authored by Ana Senra

Since Specialization
Citations

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

Fields of papers citing papers by Ana Senra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Senra

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Senra. A scholar is included among the top collaborators of Ana Senra 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 Ana Senra. Ana Senra 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
# Work Indexed citations
1 0
2 1
3 1
4 9
5 13
6 8
7 17
8 12
9 28
10 15
11 20
12 13
13 1
14 55
15
Los marcadores diagnósticos y pronósticos del cáncer de mama.
1
16
Increased serum IgE in acute type A, B and delta hepatitis.
5
17 6
18 4
19
[Blood groups Gm1, Gm2, Gm10 and Inv1 distribution amongst spanish population (author's transl)].
2
20 3

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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