Lluís E. Pons

564 total citations
8 papers, 439 citations indexed

About

Lluís E. Pons is a scholar working on Oncology, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Lluís E. Pons has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Lluís E. Pons's work include Lymphoma Diagnosis and Treatment (4 papers), AI in cancer detection (4 papers) and Immune Cell Function and Interaction (3 papers). Lluís E. Pons is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), AI in cancer detection (4 papers) and Immune Cell Function and Interaction (3 papers). Lluís E. Pons collaborates with scholars based in Spain. Lluís E. Pons's co-authors include Teresa Salvadó-Usach, Carlos López, Ramón Bosch, Marylène Lejeune, Joaquín Jaén, Tomás Álvaro, Juan F. Garcı́a, Lydia Sánchez, Francisca I. Camacho and Carmen Bellas and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Journal of the American Medical Informatics Association.

In The Last Decade

Lluís E. Pons

8 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lluís E. Pons Spain 8 223 202 200 66 59 8 439
Joaquín Jaén Spain 11 400 1.8× 418 2.1× 476 2.4× 106 1.6× 91 1.5× 17 868
Angela Schumich Austria 13 110 0.5× 122 0.6× 64 0.3× 131 2.0× 67 1.1× 24 623
Habibe Kurt United States 12 129 0.6× 175 0.9× 62 0.3× 155 2.3× 91 1.5× 28 445
Camille Franchet France 12 102 0.5× 246 1.2× 148 0.7× 200 3.0× 51 0.9× 33 529
Rikke Riber‐Hansen Denmark 15 71 0.3× 349 1.7× 111 0.6× 268 4.1× 30 0.5× 34 654
Hesham Eldaly United Kingdom 11 52 0.2× 123 0.6× 52 0.3× 186 2.8× 36 0.6× 19 441
Amy Joehlin‐Price United States 11 78 0.3× 174 0.9× 48 0.2× 71 1.1× 25 0.4× 30 418
H.M. Ruitenberg Netherlands 8 123 0.6× 188 0.9× 47 0.2× 127 1.9× 8 0.1× 12 509
Lauren C. Chong Canada 12 213 1.0× 259 1.3× 197 1.0× 193 2.9× 67 1.1× 29 578
Giuseppe Nicolò Fanelli Italy 14 88 0.4× 237 1.2× 70 0.3× 209 3.2× 147 2.5× 46 630

Countries citing papers authored by Lluís E. Pons

Since Specialization
Citations

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

Fields of papers citing papers by Lluís E. Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lluís E. Pons. 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 Lluís E. Pons. The network helps show where Lluís E. Pons may publish in the future.

Co-authorship network of co-authors of Lluís E. Pons

This figure shows the co-authorship network connecting the top 25 collaborators of Lluís E. Pons. A scholar is included among the top collaborators of Lluís E. Pons 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 Lluís E. Pons. Lluís E. Pons 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.
López, Carlos, Marylène Lejeune, Teresa Salvadó-Usach, et al.. (2009). Roundness variation in JPEG images affects the automated process of nuclear immunohistochemical quantification: correction with a linear regression model. Histochemistry and Cell Biology. 132(4). 469–477. 9 indexed citations
2.
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
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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

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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