Raquel Esgueva

2.9k total citations
9 papers, 867 citations indexed

About

Raquel Esgueva is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Raquel Esgueva has authored 9 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 2 papers in Cancer Research. Recurrent topics in Raquel Esgueva's work include Prostate Cancer Treatment and Research (5 papers), Lanthanide and Transition Metal Complexes (1 paper) and Genetic Syndromes and Imprinting (1 paper). Raquel Esgueva is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Lanthanide and Transition Metal Complexes (1 paper) and Genetic Syndromes and Imprinting (1 paper). Raquel Esgueva collaborates with scholars based in United States, Spain and Japan. Raquel Esgueva's co-authors include Mark A. Rubin, Christopher J. Lafargue, Ashutosh Tewari, Kelly Simmerman, Theresa Y. MacDonald, Eric A. Klein, Francesca Demichelis, Paul Elson, Ming Zhou and Arul M. Chinnaiyan and has published in prestigious journals such as Genome Research, Modern Pathology and Neoplasia.

In The Last Decade

Raquel Esgueva

9 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raquel Esgueva United States 8 616 454 356 119 94 9 867
Μαρία Κάρλου Greece 13 477 0.8× 282 0.6× 211 0.6× 177 1.5× 84 0.9× 19 739
Antje Krohn Germany 11 437 0.7× 371 0.8× 213 0.6× 129 1.1× 70 0.7× 17 643
Chengxi Ren United States 8 407 0.7× 472 1.0× 222 0.6× 104 0.9× 64 0.7× 9 721
János Szőke United States 5 497 0.8× 404 0.9× 265 0.7× 285 2.4× 37 0.4× 7 854
Dorothee Pflueger United States 8 330 0.5× 486 1.1× 303 0.9× 70 0.6× 75 0.8× 8 687
Roopika Menon Germany 18 270 0.4× 461 1.0× 224 0.6× 190 1.6× 138 1.5× 31 756
F.P. Fonseca Brazil 7 417 0.7× 285 0.6× 230 0.6× 117 1.0× 36 0.4× 11 559
Vanessa Cerisano Italy 11 318 0.5× 396 0.9× 163 0.5× 183 1.5× 37 0.4× 11 750
Penelope Flohr United Kingdom 10 771 1.3× 439 1.0× 555 1.6× 302 2.5× 69 0.7× 25 1.1k
S M Edwards United Kingdom 11 240 0.4× 397 0.9× 182 0.5× 174 1.5× 132 1.4× 13 647

Countries citing papers authored by Raquel Esgueva

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Esgueva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Esgueva

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

All Works

9 of 9 papers shown
1.
Galtés, Ignasi, et al.. (2016). Acute oesophageal necrosis (black oesophagus).. PubMed. 108(3). 154–5. 9 indexed citations
2.
Esgueva, Raquel, Kyung Park, Robert Kim, et al.. (2012). Next-generation Prostate Cancer Biobanking. Diagnostic Molecular Pathology. 21(2). 61–68. 19 indexed citations
3.
Pflueger, Dorothee, Stéphane Terry, Andrea Sboner, et al.. (2010). Discovery of non-ETS gene fusions in human prostate cancer using next-generation RNA sequencing. Genome Research. 21(1). 56–67. 157 indexed citations
4.
Esgueva, Raquel, Sven Perner, Christopher J. Lafargue, et al.. (2010). Prevalence of TMPRSS2–ERG and SLC45A3–ERG gene fusions in a large prostatectomy cohort. Modern Pathology. 23(4). 539–546. 121 indexed citations
5.
Park, Kyung, Scott A. Tomlins, Kumaran Mudaliar, et al.. (2010). Antibody-Based Detection of ERG Rearrangement-Positive Prostate Cancer. Neoplasia. 12(7). 590–IN21. 257 indexed citations
6.
Magi‐Galluzzi, Cristina, Paul Elson, Kelly Simmerman, et al.. (2010). TMPRSS2–ERG gene fusion prevalence and class are significantly different in prostate cancer of caucasian, african‐american and japanese patients. The Prostate. 71(5). 489–497. 200 indexed citations
7.
Hernández, Sílvia, Silvia de Muga, Laia Agell, et al.. (2009). FGFR3 mutations in prostate cancer: association with low-grade tumors. Modern Pathology. 22(6). 848–856. 61 indexed citations
8.
Agell, Laia, Sílvia Hernández, Silvia de Muga, et al.. (2008). KLF6 and TP53 mutations are a rare event in prostate cancer: distinguishing between Taq polymerase artifacts and true mutations. Modern Pathology. 21(12). 1470–1478. 40 indexed citations
9.
Sánchez, Francesca, et al.. (2007). Fatal liver failure: molecular evidence for chronic active Epstein-Barr virus infection. Annals of Diagnostic Pathology. 12(5). 368–371. 3 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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