Laia Agell

18 total papers · 517 total citations
11 papers, 382 citations indexed

About

Laia Agell is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Education. According to data from OpenAlex, Laia Agell has authored 11 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Education. Recurrent topics in Laia Agell's work include Prostate Cancer Treatment and Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Laia Agell is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Laia Agell collaborates with scholars based in Spain and United States. Laia Agell's co-authors include Josep Lloreta, Silvia de Muga, Sílvia Hernández, José A. Lorente, Sérgio Serrano, Marta Lorenzo, Núria Juanpere, Mar Carrió, Raquel Esgueva and Núria Juanpere and has published in prestigious journals such as American Journal Of Pathology, Human Pathology and Oncotarget.

In The Last Decade

Laia Agell

11 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Laia Agell	199	131	99	58	54	11	382
John G. Cogan	259 1.3×	34 0.3×	34 0.3×	36 0.6×	49 0.9×	8	385
Minjin Lee	188 0.9×	48 0.4×	56 0.6×	59 1.0×	35 0.6×	16	428
Takita Felder Sumter	307 1.5×	18 0.1×	171 1.7×	63 1.1×	50 0.9×	11	438
Ari Krakowski	222 1.1×	13 0.1×	38 0.4×	71 1.2×	13 0.2×	12	411
Phillip D. Jones	196 1.0×	21 0.2×	77 0.8×	299 5.2×	18 0.3×	5	419
Zhuoqi Liu	161 0.8×	63 0.5×	104 1.1×	137 2.4×	6 0.1×	16	348
Matthew Cunningham	115 0.6×	60 0.5×	43 0.4×	230 4.0×	10 0.2×	13	339
Philippe Lalle	331 1.7×	36 0.3×	130 1.3×	86 1.5×	6 0.1×	16	433
Helen M. Clark	175 0.9×	18 0.1×	37 0.4×	171 2.9×	13 0.2×	13	380
Minna Takkunen	263 1.3×	38 0.3×	70 0.7×	199 3.4×	5 0.1×	8	425

Countries citing papers authored by Laia Agell

Since Specialization

Citations

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

Fields of papers citing papers by Laia Agell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Agell

This figure shows the co-authorship network connecting the top 25 collaborators of Laia Agell. A scholar is included among the top collaborators of Laia Agell 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 Laia Agell. Laia Agell 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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