Javier Llorente

1.3k citations
22 papers · 1.0k · h-index 15

Impact in

Papers in

Javier Llorente

22 papers receiving 998 citations

Peers

Javier Llorente
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 574
  • Molecular Biology 540
  • Mechanical Engineering 284
  • Physiology 189
  • Physiology 24
Replace Frank Hofmann with:
Frank Hofmann Germany
Jaepyeong Cha United States
Diane Chan United States
Lang Wang China
Michael Mansour Germany
Hiroaki Kubota Japan
Gergely Horváth Hungary
Yue Cui China
Xiaohua Lv China
D. Manor Israel
Javier Llorente relative to Frank Hofmann Germany Frank Hofmann's profile →
Citations per field
00.5×4.8×
Frank Hofmann · 1×
Citations per year

Countries citing papers authored by Javier Llorente

Since Specialization
Citations

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

Fields of papers citing papers by Javier Llorente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Llorente, 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 Javier Llorente Line = papers co-authored together Javier Llorente links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010214
2 2000185
3 200092
4 200988
5 201286
6 200981
7 200962
8 201234
9 201229
10 202024
11 201419
12 201518
13 200318
14 202017
15 201216
16 201313
17 199411
18 20129
19 20218
20 20147

About Javier Llorente

Javier Llorente is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Mechanical Engineering and Control and Systems Engineering, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (5 papers), Pain Mechanisms and Treatments (4 papers), Advanced machining processes and optimization (3 papers), Autism Spectrum Disorder Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (574 citations), Molecular Biology (540 citations), Mechanical Engineering (284 citations), Physiology (189 citations) and Physiology (24 citations). Javier Llorente has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J.A. Sánchez, Luís Norberto López de Lacalle, Graeme Henderson, Christopher Bailey, Eamonn Kelly, William L. Dewey, Jamie McPherson, Guadalupe Rivero, Elizabeth M. Rosethorne and Cornelius Krasel. Their work appears in journals such as Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, European Journal of Neuroscience, Experimental Neurology and ACS Chemical Neuroscience.

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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