Lorena Suárez

498 citations
23 papers · 262 · h-index 8

Impact in

Papers in

Lorena Suárez

23 papers receiving 257 citations

Peers

Lorena Suárez
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 96
  • Gastroenterology 14
  • Physiology 47
  • Speech and Hearing 12
  • Genetics 43
Replace Yanan Hou with:
Yanan Hou China
John N. West United Kingdom
Heidi Virtanen Canada
Mariusz Dąbrowski Poland
Shiyao Feng China
Csaba Lengyel Hungary
Shunsuke Shibuya Japan
Anjuman Ara Mimi Bangladesh
Chung‐Hao Li Taiwan
Tomas Symersky Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Lorena Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lorena Suárez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorena Suárez Line = papers co-authored together Lorena Suárez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201577
2 200831
3 199229
4 201722
5 201521
6 201115
7 201212
8 20138
9 20146
10 20196
11 20236
12 20115
13 20085
14 20163
15 20103
16 20243
17 20103
18
[Microbiological parameters of clinical interest in pulmonary infection in cystic fibrosis].
19962
19
Dermatomiositis asociada al autoanticuerpo anti-MDA5
20181
20 20241

About Lorena Suárez

Lorena Suárez is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pharmacology, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 23 papers that have together received 262 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (8 papers), Cannabis and Cannabinoid Research (4 papers), Neuroscience of respiration and sleep (4 papers), Pharmacological Effects and Assays (3 papers), Cystic Fibrosis Research Advances (2 papers), Hormonal and reproductive studies (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (96 citations), Gastroenterology (14 citations), Physiology (47 citations), Speech and Hearing (12 citations) and Genetics (43 citations). Lorena Suárez has collaborated with scholars based in Spain and United States. Frequent co-authors include Manuel Sánchez, Javier Bordallo, Begoña Cantabrana, Virginia Bellido, Marta Diéguez, Edelmiro Menéndez Torre, María Riestra Fernández, Carmen Bordallo, Elías Delgado and Clara Meana. Their work appears in journals such as Pharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology, Pharmacological Reports, Nutrition and Journal of Cystic Fibrosis.

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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