Jordi Juncà

1.6k total citations
83 papers, 742 citations indexed

About

Jordi Juncà is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Jordi Juncà has authored 83 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hematology, 29 papers in Genetics and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Jordi Juncà's work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (22 papers) and Acute Myeloid Leukemia Research (14 papers). Jordi Juncà is often cited by papers focused on Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (22 papers) and Acute Myeloid Leukemia Research (14 papers). Jordi Juncà collaborates with scholars based in Spain, United States and Belgium. Jordi Juncà's co-authors include Fuensanta Millá, Josep‐María Ribera, Evarist Feliú, Marc Sorigué, José‐Tomás Navarro, Isabel Granada, R. Romero, Javier Grau, Beatriz Bayés and Jordi Bonal and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Gut.

In The Last Decade

Jordi Juncà

72 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordi Juncà Spain 13 242 205 194 192 177 83 742
Nicola Piccirillo Italy 14 330 1.4× 184 0.9× 145 0.7× 176 0.9× 94 0.5× 67 715
Kathleen Jentsch‐Ullrich Germany 15 313 1.3× 243 1.2× 149 0.8× 148 0.8× 145 0.8× 46 882
Gilles Lugassy Israel 16 217 0.9× 254 1.2× 191 1.0× 171 0.9× 224 1.3× 55 779
Man Updesh Singh Sachdeva India 13 245 1.0× 185 0.9× 126 0.6× 101 0.5× 94 0.5× 118 648
Walter Longo United States 15 254 1.0× 154 0.8× 117 0.6× 387 2.0× 254 1.4× 62 843
Stephanie Gregory United States 13 331 1.4× 158 0.8× 134 0.7× 379 2.0× 331 1.9× 26 963
P. Carlier Italy 17 534 2.2× 177 0.9× 176 0.9× 177 0.9× 96 0.5× 47 763
W.Y. Au China 18 328 1.4× 230 1.1× 190 1.0× 448 2.3× 534 3.0× 57 1.1k
Hassan El‐Solh Saudi Arabia 15 169 0.7× 97 0.5× 86 0.4× 226 1.2× 164 0.9× 40 693
G Broccia Italy 16 695 2.9× 243 1.2× 120 0.6× 212 1.1× 78 0.4× 39 931

Countries citing papers authored by Jordi Juncà

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Juncà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordi Juncà

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

All Works

20 of 20 papers shown
1.
Rico, Laura G., Jorge Bardina, Jordi Juncà, et al.. (2024). Persistence of Chronic Lymphocytic Leukemia Stem-like Populations under Simultaneous In Vitro Treatment with Curcumin, Fludarabine, and Ibrutinib: Implications for Therapy Resistance. International Journal of Molecular Sciences. 25(4). 1994–1994. 1 indexed citations
2.
Mozas, Pablo, et al.. (2022). Methodological and conceptual challenges to the flow cytometric classification of leukemic lymphoproliferative disorders. Critical Reviews in Clinical Laboratory Sciences. 60(2). 83–100. 1 indexed citations
3.
Rico, Laura G., et al.. (2022). Impact of red blood cell lysing on rare event analysis. Cytometry Part A. 103(4). 335–346. 2 indexed citations
4.
Marcé, Sílvia, Gustavo Tapia, Jordi Juncà, et al.. (2022). Flow cytometry to detect bone marrow involvement by follicular lymphoma. Cytometry Part B Clinical Cytometry. 102(6). 427–439. 3 indexed citations
5.
Rico, Laura G., et al.. (2022). Erythrocyte lysing solutions have a detrimental effect in flow cytometric dendritic cell detection. Cytometry Part A. 103(5). 383–391.
6.
Xicoy, Blanca, Jordi Juncà, Lurdes Zamora, et al.. (2022). Optimization of monocyte gating to quantify monocyte subsets for the diagnosis of chronic myelomonocytic leukemia. Cytometry Part B Clinical Cytometry. 104(4). 319–330. 4 indexed citations
7.
Sorigué, Marc, et al.. (2021). Concordance between flow cytometry CLL scores. International Journal of Laboratory Hematology. 43(4). 743–751. 2 indexed citations
8.
Tapia, Gustavo, et al.. (2021). Flow cytometric expression of CD71, CD81, CD44 and CD39 in B cell lymphoma. Scandinavian Journal of Clinical and Laboratory Investigation. 81(5). 413–417. 5 indexed citations
9.
Sorigué, Marc, Gustavo Tapia, José‐Tomás Navarro, et al.. (2020). Chronic myelomonocytic leukemia and blastic plasmacytoid dendritic cell neoplasm. A case report and systematic review. Cytometry Part B Clinical Cytometry. 100(3). 292–295. 2 indexed citations
10.
Morales‐Indiano, Cristian, Laura G. Rico, Jorge Bardina, et al.. (2020). Diagnostic performance of the ClearLLab 10C B cell tube. Cytometry Part B Clinical Cytometry. 100(4). 519–530. 7 indexed citations
11.
Géner, G., et al.. (2020). Brief communication: Distribution of bone marrow cell subsets and hemodilution in patients with acute leukemia. International Journal of Laboratory Hematology. 42(4). e192–e195. 2 indexed citations
12.
Sorigué, Marc, Laura Magnano, Miloš D. Miljković, et al.. (2019). Positive predictive value of CD200 positivity in the differential diagnosis of chronic lymphocytic leukemia. Cytometry Part B Clinical Cytometry. 98(5). 441–448. 8 indexed citations
13.
Sorigué, Marc, et al.. (2019). Flow Cytometry in the Differential Diagnosis of CD10-Positive Nodal Lymphomas. Laboratory Medicine. 51(4). 385–393. 6 indexed citations
14.
Sorigué, Marc, et al.. (2018). Usefulness of the CLLflow score. Cytometry Part B Clinical Cytometry. 94(6). 950–952. 5 indexed citations
15.
Sorigué, Marc, et al.. (2018). Refining the Limits of Borderline Lymphoproliferative Disorders. Cytometry Part B Clinical Cytometry. 96(5). 351–358. 8 indexed citations
16.
Sanvisens, Arantza, Daniel Fuster, Ferrán Bolao, et al.. (2017). Folate deficiency in patients seeking treatment of alcohol use disorder. Drug and Alcohol Dependence. 180. 417–422. 18 indexed citations
17.
Sorigué, Marc, et al.. (2017). Consistency of the Moreau CLL score. Journal of Clinical Laboratory Analysis. 32(5). e22376–e22376. 3 indexed citations
18.
Juncà, Jordi, et al.. (2006). Detection of early abnormalities in gastric function in first‐degree relatives of patients with pernicious anemia*. European Journal Of Haematology. 77(6). 518–522. 6 indexed citations
19.
Juncà, Jordi, et al.. (2002). Characterization of a new hemoglobin variant: Hb Badalona (β31[B13]Leu→Val). Annals of Hematology. 81(4). 179–181. 2 indexed citations
20.
Humbert, P., Fernando Fernández‐Bañares, Jordi Juncà, et al.. (1994). Magnesium hydrogen breath test using end expiratory sampling to assess achlorhydria in pernicious anaemia patients.. Gut. 35(9). 1205–1208. 4 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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