Alba Jimenez‐Pacheco

8 total papers · 695 total citations
7 papers, 487 citations indexed

About

Alba Jimenez‐Pacheco is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alba Jimenez‐Pacheco has authored 7 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alba Jimenez‐Pacheco's work include Adenosine and Purinergic Signaling (4 papers), Autophagy in Disease and Therapy (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Alba Jimenez‐Pacheco is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), Autophagy in Disease and Therapy (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Alba Jimenez‐Pacheco collaborates with scholars based in Ireland, Spain and Japan. Alba Jimenez‐Pacheco's co-authors include David C. Henshall, Tobías Engel, Miguel Díaz‐Hernández, Amaya Sanz‐Rodriguez, María Teresa Miras‐Portugal, Guillaume Mesuret, Ronán Conroy, Donncha F. O’Brien, Michael A. Farrell and Norman Delanty and has published in prestigious journals such as Journal of Neuroscience, Brain and Epilepsia.

In The Last Decade

Alba Jimenez‐Pacheco

7 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alba Jimenez‐Pacheco	250	169	151	140	106	7	487
Guillaume Mesuret	253 1.0×	159 0.9×	125 0.8×	118 0.8×	78 0.7×	8	460
Paula García-Huerta	206 0.8×	78 0.5×	250 1.7×	54 0.4×	48 0.5×	6	490
Jing-Quan Lan	120 0.5×	53 0.3×	219 1.5×	195 1.4×	74 0.7×	8	479
Jan Lopatář	126 0.5×	40 0.2×	141 0.9×	240 1.7×	133 1.3×	7	459
Sylvie Duflot	121 0.5×	26 0.2×	141 0.9×	106 0.8×	62 0.6×	10	504
Céline Boucher	89 0.4×	59 0.3×	140 0.9×	87 0.6×	228 2.2×	9	542
Natália Assaife‐Lopes	135 0.5×	32 0.2×	170 1.1×	202 1.4×	53 0.5×	11	457
Jessica M. Crain	112 0.4×	29 0.2×	75 0.5×	65 0.5×	330 3.1×	6	512
Lucrezia Cellai	257 1.0×	41 0.2×	143 0.9×	121 0.9×	181 1.7×	14	460
Ilaria Dettori	267 1.1×	38 0.2×	168 1.1×	142 1.0×	175 1.7×	17	450

Countries citing papers authored by Alba Jimenez‐Pacheco

Since Specialization

Citations

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

Fields of papers citing papers by Alba Jimenez‐Pacheco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alba Jimenez‐Pacheco. 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 Alba Jimenez‐Pacheco. The network helps show where Alba Jimenez‐Pacheco may publish in the future.

Co-authorship network of co-authors of Alba Jimenez‐Pacheco

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

All Works

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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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