Joaquín Jaén

1.1k total citations
17 papers, 868 citations indexed

About

Joaquín Jaén is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Joaquín Jaén has authored 17 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 8 papers in Oncology and 6 papers in Immunology. Recurrent topics in Joaquín Jaén's work include AI in cancer detection (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immune Cell Function and Interaction (4 papers). Joaquín Jaén is often cited by papers focused on AI in cancer detection (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Immune Cell Function and Interaction (4 papers). Joaquín Jaén collaborates with scholars based in Spain, Poland and Cuba. Joaquín Jaén's co-authors include Ramón Bosch, Marylène Lejeune, Teresa Salvadó-Usach, Tomás Álvaro, Carlos López, Lluís E. Pons, Juan F. Garcı́a, Miguel Á. Piris, Giovanna Roncador and Alison H. Banham and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Joaquín Jaén

17 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquín Jaén Spain 11 476 418 400 106 101 17 868
Lluís E. Pons Spain 8 200 0.4× 202 0.5× 223 0.6× 66 0.6× 58 0.6× 8 439
Edgar Gil Rizzatti Brazil 15 212 0.4× 254 0.6× 294 0.7× 435 4.1× 59 0.6× 42 1.0k
Oscar Brück Finland 19 441 0.9× 427 1.0× 217 0.5× 285 2.7× 22 0.2× 44 1.1k
Sukjoong Oh South Korea 13 56 0.1× 252 0.6× 213 0.5× 121 1.1× 81 0.8× 52 783
Michiel van den Brand Netherlands 17 83 0.2× 217 0.5× 273 0.7× 312 2.9× 46 0.5× 44 804
Albert Assad United States 13 92 0.2× 250 0.6× 216 0.5× 152 1.4× 92 0.9× 43 826
Rikke Riber‐Hansen Denmark 15 111 0.2× 349 0.8× 71 0.2× 268 2.5× 115 1.1× 34 654
Farah Khalil United States 15 452 0.9× 663 1.6× 64 0.2× 315 3.0× 157 1.6× 37 1.3k
Indu Arun India 13 62 0.1× 233 0.6× 101 0.3× 112 1.1× 151 1.5× 51 597
Ahrong Kim South Korea 16 126 0.3× 369 0.9× 118 0.3× 169 1.6× 90 0.9× 49 905

Countries citing papers authored by Joaquín Jaén

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín Jaén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquín Jaén

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

All Works

17 of 17 papers shown
1.
Martínez, S., et al.. (2017). Utilidad de la técnica ROLL en la exéresis de lesiones no palpables de mama. Revista Española de Medicina Nuclear e Imagen Molecular. 36(5). 285–291. 5 indexed citations
2.
Martínez, S., et al.. (2017). Use of the ROLL technique for lumpectomy in non-palpable breast lesions. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 36(5). 285–291. 5 indexed citations
3.
4.
Lejeune, Marylène, Anna Korzyńska, Gloria Bueno, et al.. (2015). Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders. BioMedical Engineering OnLine. 14(S2). S2–S2. 13 indexed citations
5.
López, Carlos, Ramón Bosch, Anna Korzyńska, et al.. (2014). Development of automated quantification methodologies of immunohistochemical markers to determine patterns of immune response in breast cancer: a retrospective cohort study. BMJ Open. 4(8). e005643–e005643. 10 indexed citations
6.
Lejeune, Marylène, Anna Korzyńska, Albert Roso‐Llorach, et al.. (2013). A multistep image analysis method to increase automated identification efficiency in immunohistochemical nuclear markers with a high background level. Diagnostic Pathology. 8(S1). 8 indexed citations
7.
López, Carlos, Anna Korzyńska, Ramón Bosch, et al.. (2012). Is It Necessary to Evaluate Nuclei in HER2 FISH Evaluation?. American Journal of Clinical Pathology. 139(1). 47–54. 7 indexed citations
8.
López, Carlos, Marylène Lejeune, Ramón Bosch, et al.. (2012). Digital image analysis in breast cancer: an example of an automated methodology and the effects of image compression.. PubMed. 179. 155–71. 25 indexed citations
9.
Lejeune, Marylène, Carlos López, Ramón Bosch, et al.. (2010). JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 458(2). 237–245. 8 indexed citations
10.
López, Carlos, Marylène Lejeune, Teresa Salvadó-Usach, et al.. (2008). Automated quantification of nuclear immunohistochemical markers with different complexity. Histochemistry and Cell Biology. 129(3). 379–387. 38 indexed citations
11.
Lejeune, Marylène, Joaquín Jaén, Lluís E. Pons, et al.. (2008). Quantification of diverse subcellular immunohistochemical markers with clinicobiological relevancies: validation of a new computer‐assisted image analysis procedure. Journal of Anatomy. 212(6). 868–878. 67 indexed citations
12.
López, Carlos, Marylène Lejeune, Ramón Bosch, et al.. (2008). Effects of Image Compression on Automatic Count of Immunohistochemically Stained Nuclei in Digital Images. Journal of the American Medical Informatics Association. 15(6). 794–798. 18 indexed citations
13.
Álvaro, Tomás, Marylène Lejeune, Lluís E. Pons, et al.. (2008). Appraisal of immune response in lymphoproliferative syndromes: A systematic review. Critical Reviews in Oncology/Hematology. 70(2). 103–113. 14 indexed citations
14.
Álvaro, Tomás, Marylène Lejeune, Juan F. Garcı́a, et al.. (2008). Tumor-Infiltrated Immune Response Correlates with Alterations in the Apoptotic and Cell Cycle Pathways in Hodgkin and Reed-Sternberg Cells. Clinical Cancer Research. 14(3). 685–691. 30 indexed citations
15.
Álvaro, Tomás, Marylène Lejeune, Teresa Salvadó-Usach, et al.. (2006). Immunohistochemical Patterns of Reactive Microenvironment Are Associated With Clinicobiologic Behavior in Follicular Lymphoma Patients. Journal of Clinical Oncology. 24(34). 5350–5357. 187 indexed citations
16.
Álvaro, Tomás, Marylène Lejeune, Francisca I. Camacho, et al.. (2006). The presence of STAT1-positive tumor-associated macrophages and their relation to outcome in patients with follicular lymphoma.. PubMed. 91(12). 1605–12. 76 indexed citations
17.
Álvaro, Tomás, Marylène Lejeune, Teresa Salvadó-Usach, et al.. (2005). Outcome in Hodgkin's Lymphoma Can Be Predicted from the Presence of Accompanying Cytotoxic and Regulatory T Cells. Clinical Cancer Research. 11(4). 1467–1473. 356 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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