Alejandro Sica

550 total citations
21 papers, 462 citations indexed

About

Alejandro Sica is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Alejandro Sica has authored 21 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Alejandro Sica's work include Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). Alejandro Sica is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). Alejandro Sica collaborates with scholars based in United States, Italy and Canada. Alejandro Sica's co-authors include Alberto Mantovani, Francesco Colotta, Elisabetta Dejana, C G Larsen, Koji Matsushima, Claus Zachariae, J J Oppenheim, J M Wang, Nadia Polentarutti and Stefano F. de Marchi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Alejandro Sica

14 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Sica United States 7 214 166 121 79 48 21 462
Hannah L.H. Green United Kingdom 6 178 0.8× 133 0.8× 57 0.5× 49 0.6× 36 0.8× 7 405
Hideo Yagita Japan 8 365 1.7× 174 1.0× 80 0.7× 57 0.7× 54 1.1× 8 551
Xavier Blanchet Germany 11 159 0.7× 108 0.7× 110 0.9× 37 0.5× 27 0.6× 16 398
Chikahiko Sakamoto Japan 7 230 1.1× 184 1.1× 62 0.5× 40 0.5× 61 1.3× 15 422
Mirkka Janka-Junttila Finland 9 242 1.1× 211 1.3× 51 0.4× 77 1.0× 38 0.8× 10 530
Jason Douangpanya United States 5 437 2.0× 357 2.2× 131 1.1× 46 0.6× 52 1.1× 5 784
Jana Fritsche Germany 11 275 1.3× 157 0.9× 86 0.7× 53 0.7× 51 1.1× 13 572
Mads Krogsgaard Thomsen Denmark 15 201 0.9× 126 0.8× 79 0.7× 62 0.8× 47 1.0× 28 552
I.L. Eestermans Netherlands 11 310 1.4× 114 0.7× 102 0.8× 77 1.0× 44 0.9× 15 622
Ann E. Berger United States 10 262 1.2× 132 0.8× 88 0.7× 40 0.5× 33 0.7× 14 496

Countries citing papers authored by Alejandro Sica

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Sica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Sica

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Sica. A scholar is included among the top collaborators of Alejandro Sica 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 Alejandro Sica. Alejandro Sica 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.
Pradhan, Kith, Liam Townsend, Mendel Goldfinger, et al.. (2025). Efficacy and manageable toxicity of mogamulizumab in a real-world North American cohort of adult T-cell leukemia/lymphoma (ATLL).. Journal of Clinical Oncology. 43(16_suppl).
2.
Mercadal, Santiago, Kwang Woo Ahn, Praveen Ramakrishnan Geethakumari, et al.. (2024). Outcomes of patients with primary central nervous system lymphoma following CD19-targeted chimeric antigen receptor T-cell therapy. Haematologica. 110(1). 218–221. 3 indexed citations
3.
Yan, John, M Bakri Hammami, Nishi Shah, et al.. (2024). Socio-demographic determinants of myelofibrosis outcomes in an underserved center and the SEER national database. Annals of Hematology. 103(9). 3543–3551.
4.
Denis-Robichaud, J., Alejandro Sica, M.H.C. Pereira, et al.. (2024). Is prolonged luteal phase a problem in lactating Holstein cows?. Journal of Dairy Science. 107(10). 8582–8591. 2 indexed citations
5.
Sisto, Alex, David Levitz, Ioannis Mantzaris, et al.. (2023). Transportation Cost Is a Significant Barrier to Quality Care for Hematologic Malignancy Patients in a Minority-Rich, Socioeconomically Disadvantaged Population. Blood. 142(Supplement 1). 2350–2350. 1 indexed citations
6.
Sisto, Alex, David Levitz, Ioannis Mantzaris, et al.. (2023). A Study Evaluating Financial Toxicity Amongst Hematologic Malignancy Patients in the Bronx. Blood. 142(Supplement 1). 7397–7397.
7.
8.
Shapiro, Lauren M., Ioannis Mantzaris, Aditi Shastri, et al.. (2022). AML-351 Low-Dose Weekly Decitabine and Venetoclax in Myeloid Malignancies. Clinical Lymphoma Myeloma & Leukemia. 22. S241–S241.
9.
Shapiro, Lauren, Ioannis Mantzaris, Aditi Shastri, et al.. (2022). Low-dose weekly decitabine and venetoclax in TP53-mutated myeloid malignancies.. Journal of Clinical Oncology. 40(16_suppl). e19005–e19005. 1 indexed citations
10.
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Shah, Nishi, Jiahao Chen, Karen Fehn, et al.. (2021). Case report of combination therapy with Azacytidine, Enasidenib and Venetoclax in primary refractory AML. Experimental Hematology and Oncology. 10(1). 1–1. 9 indexed citations
12.
Zavras, Phaedon D., Aditi Shastri, Lizamarie Bachier‐Rodriguez, et al.. (2021). Increased mortality among smokers with myelodysplastic syndrome (MDS).. Journal of Clinical Oncology. 39(15_suppl). e19036–e19036. 1 indexed citations
13.
Palmieri, Salvatore, Stefano Rocco, Lucio Catalano, et al.. (2020). KRD (carfilzomib and lenalidomide plus dexamethasone) for the treatment of relapsed or refractory multiple myeloma in the real-life: a retrospective survey in 123 patients. Annals of Hematology. 99(12). 2903–2909. 6 indexed citations
14.
Santalla, Estela, et al.. (2016). SIM.M.FF-S7: Final report on SIM/ANDIMET supplementary comparison for volume of liquids at 100 mL and 100 μL. Metrologia. 53(1A). 7014–7014. 1 indexed citations
15.
Ruggiero, David A., P.M. Gootman, & Alejandro Sica. (1998). Presence of a non-NMDA glutamate receptor subtype in the sympathetic nervous system of neonatal swine. Journal of the Autonomic Nervous System. 73(2-3). 101–108. 3 indexed citations
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18.
Sica, Alejandro, J M Wang, Francesco Colotta, et al.. (1990). Monocyte chemotactic and activating factor gene expression induced in endothelial cells by IL-1 and tumor necrosis factor.. The Journal of Immunology. 144(8). 3034–3038. 308 indexed citations
19.
Latini, Roberto, E. Barbieri, Stefano F. de Marchi, et al.. (1989). Propafenone and 5-hydroxypropafenone concentrations in the right atrium of patients undergoing heart surgery. American Heart Journal. 117(2). 497–498. 7 indexed citations
20.
Latini, Roberto, et al.. (1988). High-performance liquid chromatographic separation and mass spectrometric identification of propafenone, 5-hydroxypropafenone and N-depropylpropafenone. Journal of Chromatography B Biomedical Sciences and Applications. 424(1). 211–214. 9 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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