Lidia García‐Campmany

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Lidia García‐Campmany is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Lidia García‐Campmany has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Lidia García‐Campmany's work include Ion channel regulation and function (2 papers), Pain Mechanisms and Treatments (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Lidia García‐Campmany is often cited by papers focused on Ion channel regulation and function (2 papers), Pain Mechanisms and Treatments (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Lidia García‐Campmany collaborates with scholars based in United States, China and Spain. Lidia García‐Campmany's co-authors include Martyn Goulding, Olivier Britz, Steeve Bourane, Qiufu Ma, Longzhen Cheng, Bo Duan, Stephanie C. Koch, Yun Wang, Bradford B. Lowell and Xiangyu Ren and has published in prestigious journals such as Science, Cell and Nature Neuroscience.

In The Last Decade

Lidia García‐Campmany

8 papers receiving 1.1k citations

Hit Papers

Identification of Spinal Circuits Transmitting and Gating... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lidia García‐Campmany United States 8 574 447 374 143 140 8 1.1k
Steeve Bourane France 15 677 1.2× 556 1.2× 393 1.1× 186 1.3× 156 1.1× 22 1.4k
Kieran A. Boyle United Kingdom 18 598 1.0× 575 1.3× 401 1.1× 142 1.0× 95 0.7× 25 1.1k
Zhong-Qiu Zhao United States 7 340 0.6× 476 1.1× 335 0.9× 380 2.7× 117 0.8× 7 1.1k
Takeshi Kaneko Japan 17 331 0.6× 678 1.5× 343 0.9× 146 1.0× 41 0.3× 55 1.4k
Laura Kus United States 14 318 0.6× 548 1.2× 358 1.0× 40 0.3× 84 0.6× 17 1.1k
Claire E. Le Pichon United States 17 576 1.0× 513 1.1× 628 1.7× 36 0.3× 135 1.0× 25 1.5k
Bengt T. Fundín Sweden 20 337 0.6× 752 1.7× 292 0.8× 43 0.3× 108 0.8× 26 1.2k
Michael Rutlin United States 13 399 0.7× 688 1.5× 966 2.6× 53 0.4× 120 0.9× 17 2.0k
Rupert W. Overall Germany 22 310 0.5× 363 0.8× 763 2.0× 168 1.2× 274 2.0× 39 1.7k
Marcin Szczot United States 13 721 1.3× 308 0.7× 694 1.9× 17 0.1× 152 1.1× 19 1.3k

Countries citing papers authored by Lidia García‐Campmany

Since Specialization
Citations

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

Fields of papers citing papers by Lidia García‐Campmany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidia García‐Campmany. 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 Lidia García‐Campmany. The network helps show where Lidia García‐Campmany may publish in the future.

Co-authorship network of co-authors of Lidia García‐Campmany

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

All Works

8 of 8 papers shown
1.
Cheng, Longzhen, Bo Duan, Tianwen Huang, et al.. (2017). Identification of spinal circuits involved in touch-evoked dynamic mechanical pain. Nature Neuroscience. 20(6). 804–814. 149 indexed citations
2.
Bourane, Steeve, Bo Duan, Stephanie C. Koch, et al.. (2015). Gate control of mechanical itch by a subpopulation of spinal cord interneurons. Science. 350(6260). 550–554. 211 indexed citations
3.
Bourane, Steeve, Katja S. Grossmann, Olivier Britz, et al.. (2015). Identification of a Spinal Circuit for Light Touch and Fine Motor Control. Cell. 160(3). 503–515. 143 indexed citations
4.
Duan, Bo, Longzhen Cheng, Steeve Bourane, et al.. (2014). Identification of Spinal Circuits Transmitting and Gating Mechanical Pain. Cell. 159(6). 1417–1432. 405 indexed citations breakdown →
5.
Goulding, Martyn, et al.. (2014). Inhibition downunder: an update from the spinal cord. Current Opinion in Neurobiology. 26. 161–166. 40 indexed citations
6.
Dréau, Gwenvaël Le, Lidia García‐Campmany, M. Angeles Rabadán, et al.. (2011). Canonical BMP7 activity is required for the generation of discrete neuronal populations in the dorsal spinal cord. Development. 139(2). 259–268. 68 indexed citations
7.
García‐Campmany, Lidia, Floor J. Stam, & Martyn Goulding. (2010). From circuits to behaviour: motor networks in vertebrates. Current Opinion in Neurobiology. 20(1). 116–125. 52 indexed citations
8.
García‐Campmany, Lidia & Elisa Martı́. (2006). The TGFβ intracellular effector Smad3 regulates neuronal differentiation and cell fate specification in the developing spinal cord. Development. 134(1). 65–75. 52 indexed citations

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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