Juan Arango Ossa

2.1k total citations
9 papers, 71 citations indexed

About

Juan Arango Ossa is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Juan Arango Ossa has authored 9 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Juan Arango Ossa's work include Multiple Myeloma Research and Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Juan Arango Ossa is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Cancer Genomics and Diagnostics (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Juan Arango Ossa collaborates with scholars based in United States, United Kingdom and Sweden. Juan Arango Ossa's co-authors include Max F. Levine, Elli Papaemmanuil, Minal Patel, Juan S. Medina-Martínez, Ahmet Doǧan, Even H. Rustad, Heather Landau, Malin Hultcrantz, Francesco Maura and Niccolò Bolli and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Blood Advances.

In The Last Decade

Juan Arango Ossa

7 papers receiving 71 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Arango Ossa United States 4 56 52 24 18 14 9 71
Konstanze Doehner Germany 4 41 0.7× 68 1.3× 18 0.8× 13 0.7× 12 0.9× 14 101
Radovan Vasic United States 4 60 1.1× 84 1.6× 13 0.5× 16 0.9× 33 2.4× 8 124
M. Fuertes Spain 4 52 0.9× 45 0.9× 12 0.5× 33 1.8× 8 0.6× 6 86
Gunilla Walldin Sweden 4 46 0.8× 26 0.5× 12 0.5× 32 1.8× 16 1.1× 12 86
Alison Callaway United Kingdom 3 40 0.7× 70 1.3× 8 0.3× 47 2.6× 18 1.3× 8 129
Irene Aires‐Mejía Spain 2 99 1.8× 68 1.3× 59 2.5× 25 1.4× 15 1.1× 2 130
Govardhan Anande Australia 3 30 0.5× 51 1.0× 6 0.3× 13 0.7× 9 0.6× 3 69
Kathleen Stabla Germany 5 35 0.6× 30 0.6× 19 0.8× 9 0.5× 14 1.0× 6 76
Tony Andreas Müller Germany 4 29 0.5× 26 0.5× 13 0.5× 16 0.9× 5 0.4× 7 64
Jiaoyuan Elisabeth Sun United States 3 39 0.7× 63 1.2× 8 0.3× 17 0.9× 11 0.8× 4 112

Countries citing papers authored by Juan Arango Ossa

Since Specialization
Citations

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

Fields of papers citing papers by Juan Arango Ossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Arango Ossa. 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 Juan Arango Ossa. The network helps show where Juan Arango Ossa may publish in the future.

Co-authorship network of co-authors of Juan Arango Ossa

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Arango Ossa. A scholar is included among the top collaborators of Juan Arango Ossa 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 Juan Arango Ossa. Juan Arango Ossa 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.
Gutiérrez‐Abril, Jesús, Gunes Gundem, Elise Fiala, et al.. (2025). Supernumerary ring chromosome 1 syndrome leads to fusion-driven B-cell acute lymphoblastic leukemia in monozygotic twins. Blood Advances. 9(9). 2063–2067.
2.
Farnoud, Noushin, Daniel Leongamornlert, Jesús Gutiérrez‐Abril, et al.. (2023). Diagnostic Utility of Comprehensive RNA-Seq Analysis in Adult B-ALL. Blood. 142(Supplement 1). 1601–1601. 1 indexed citations
3.
Kotini, Andriana G., Elsa Bernard, Davide Esposito, et al.. (2022). Patient-specific MDS-RS iPSCs define the mis-spliced transcript repertoire and chromatin landscape of SF3B1-mutant HSPCs. Blood Advances. 6(10). 2992–3005. 8 indexed citations
4.
Kinnaman, Michael D., Simone Zaccaria, Alvin P. Makohon-Moore, et al.. (2022). Subclonal somatic copy number alterations emerge and dominate in recurrent osteosarcoma.. Journal of Clinical Oncology. 40(16_suppl). 11533–11533. 2 indexed citations
5.
Shukla, Neerav, Max F. Levine, Gunes Gundem, et al.. (2021). Feasibility and clinical utility of cancer whole genome and transcriptome sequencing for pediatric and young adult solid tumors.. Journal of Clinical Oncology. 39(15_suppl). 3063–3063.
6.
Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2020). Correction: Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 10(1). 1 indexed citations
7.
Marcellino, Bridget K., Noushin Farnoud, Bruno Cassinat, et al.. (2020). Transient expansion of TP53 mutated clones in polycythemia vera patients treated with idasanutlin. Blood Advances. 4(22). 5735–5744. 18 indexed citations
8.
Yellapantula, Venkata D., Malin Hultcrantz, Even H. Rustad, et al.. (2019). Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma. Blood Cancer Journal. 9(12). 101–101. 35 indexed citations
9.
Farnoud, Noushin, Christopher Famulare, Elli Papaemmanuil, et al.. (2019). Landscape of TP53 Mutations in MPN. Blood. 134(Supplement_1). 1681–1681. 6 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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