Julia Casado

973 total citations
9 papers, 105 citations indexed

About

Julia Casado is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Julia Casado has authored 9 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biophysics and 3 papers in Oncology. Recurrent topics in Julia Casado's work include Single-cell and spatial transcriptomics (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cancer Genomics and Diagnostics (2 papers). Julia Casado is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Ovarian cancer diagnosis and treatment (3 papers) and Cancer Genomics and Diagnostics (2 papers). Julia Casado collaborates with scholars based in Finland, United States and Italy. Julia Casado's co-authors include Anniina Färkkilä, Sampsa Hautaniemi, Panagiotis A. Konstantinopoulos, Jia‐Ren Lin, Brooke E. Howitt, Connor A. Jacobson, Sandro Santagata, Kevin M. Elias, Peter K. Sorger and Alan D. D’Andrea and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Research.

In The Last Decade

Julia Casado

7 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Casado Finland	5	57	47	31	28	25	9	105
Syed O. Ali United Kingdom	5	82 1.4×	94 2.0×	31 1.0×	8 0.3×	9 0.4×	5	138
Nicole Fairweather Australia	4	60 1.1×	55 1.2×	23 0.7×	26 0.9×	26 1.0×	4	141
Oliver Cast United Kingdom	2	60 1.1×	44 0.9×	44 1.4×	6 0.2×	40 1.6×	2	118
Soma Kobayashi United States	5	41 0.7×	38 0.8×	47 1.5×	8 0.3×	23 0.9×	8	124
María Ruiz-Miró Spain	7	116 2.0×	26 0.6×	12 0.4×	14 0.5×	90 3.6×	7	149
Valeria Giangarrà Spain	2	69 1.2×	40 0.9×	18 0.6×	12 0.4×	45 1.8×	4	104
Francisca Reyes Turcu United States	2	72 1.3×	88 1.9×	23 0.7×	31 1.1×	30 1.2×	2	140
Zhenhang Meng United States	4	85 1.5×	45 1.0×	14 0.5×	4 0.1×	34 1.4×	4	125
Julie Lang United Kingdom	5	116 2.0×	106 2.3×	25 0.8×	5 0.2×	29 1.2×	10	144
Stephen J. Luen Australia	3	61 1.1×	108 2.3×	43 1.4×	11 0.4×	21 0.8×	7	143

Countries citing papers authored by Julia Casado

Since Specialization

Citations

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

Fields of papers citing papers by Julia Casado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Casado

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

All Works

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9 of 9 papers shown

Kang, Ziqi, Angela E. Szabó, Fernando Pérez‐Villatoro, et al.. (2025). Tribus: semi-automated discovery of cell identities and phenotypes from multiplexed imaging and proteomic data. Bioinformatics. 41(3).

Casado, Julia, Connor A. Jacobson, Jia‐Ren Lin, et al.. (2022). Single-cell tumor-immune microenvironment of BRCA1/2 mutated high-grade serous ovarian cancer. Nature Communications. 13(1). 835–835. 50 indexed citations

Pérez‐Villatoro, Fernando, Jaana Oikkonen, Julia Casado, et al.. (2022). Optimized detection of homologous recombination deficiency improves the prediction of clinical outcomes in cancer. npj Precision Oncology. 6(1). 96–96. 20 indexed citations

Casado, Julia, Ville Rantanen, Katja Kaipio, et al.. (2020). Agile workflow for interactive analysis of mass cytometry data. Bioinformatics. 37(9). 1263–1268. 6 indexed citations

Häkkinen, Antti, Julia Casado, Katja Kaipio, et al.. (2020). qSNE: quadratic rate t-SNE optimizer with automatic parameter tuning for large datasets. Bioinformatics. 36(20). 5086–5092. 4 indexed citations

Casado, Julia, Laura Turunen, Suvi‐Katri Leivonen, et al.. (2019). Drug screening approach combines epigenetic sensitization with immunochemotherapy in cancer. Clinical Epigenetics. 11(1). 192–192. 2 indexed citations

Färkkilä, Anniina, Julia Casado, Huy Nguyen, et al.. (2019). Abstract 4487: Association of the tumor-immune microenvironment with response to niraparib and pembrolizumab in relapsed, platinum-resistant ovarian cancer. Cancer Research. 79(13_Supplement). 4487–4487.

Cervera, Alejandra, Ville Rantanen, Kristian Ovaska, et al.. (2019). Anduril 2: upgraded large-scale data integration framework. Bioinformatics. 35(19). 3815–3817. 17 indexed citations

Hynninen, Johanna, Tuulia Vallius, Jukka Kemppainen, et al.. (2018). Clinical Value of 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Response Evaluation after Primary Treatment of Advanced Epithelial Ovarian Cancer. Clinical Oncology. 30(8). 507–514. 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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