Vera Ademà

1.7k total citations
56 papers, 639 citations indexed

About

Vera Ademà is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Vera Ademà has authored 56 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hematology, 26 papers in Molecular Biology and 24 papers in Genetics. Recurrent topics in Vera Ademà's work include Acute Myeloid Leukemia Research (46 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers) and Cancer Genomics and Diagnostics (11 papers). Vera Ademà is often cited by papers focused on Acute Myeloid Leukemia Research (46 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers) and Cancer Genomics and Diagnostics (11 papers). Vera Ademà collaborates with scholars based in United States, Spain and Germany. Vera Ademà's co-authors include Jaroslaw P. Maciejewski, Françesc Solé, Cassandra M Kerr, Mar Mallo, Manja Meggendorfer, Torsten Haferlach, Mikkael A. Sekeres, Dirk Heckl, Rafael Bejar and Claudia Haferlach and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Vera Ademà

53 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Ademà United States 12 471 278 263 97 69 56 639
François G. Kavelaars Netherlands 9 429 0.9× 308 1.1× 204 0.8× 43 0.4× 161 2.3× 24 645
Mar Mallo Spain 11 313 0.7× 235 0.8× 137 0.5× 66 0.7× 112 1.6× 29 505
Cassandra M Kerr United States 12 331 0.7× 180 0.6× 186 0.7× 59 0.6× 53 0.8× 42 480
Wendy T Parker Australia 10 390 0.8× 118 0.4× 330 1.3× 79 0.8× 82 1.2× 22 537
Sachie Marubayashi United States 8 307 0.7× 355 1.3× 425 1.6× 49 0.5× 38 0.6× 13 698
Gerrit‐Jan Schuurhuis Netherlands 12 488 1.0× 267 1.0× 110 0.4× 41 0.4× 104 1.5× 23 693
M.A. García‐Marcos Spain 9 416 0.9× 233 0.8× 157 0.6× 124 1.3× 26 0.4× 11 564
Norio Shiba Japan 13 323 0.7× 284 1.0× 79 0.3× 34 0.4× 96 1.4× 40 533
Luigia Monitillo Italy 8 151 0.3× 134 0.5× 112 0.4× 145 1.5× 82 1.2× 16 497
Olga Gielen Belgium 14 248 0.5× 252 0.9× 147 0.6× 151 1.6× 61 0.9× 25 645

Countries citing papers authored by Vera Ademà

Since Specialization
Citations

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

Fields of papers citing papers by Vera Ademà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Ademà

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Ademà. A scholar is included among the top collaborators of Vera Ademà 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 Vera Ademà. Vera Ademà 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.
Mori, Minako, Yasuo Kubota, Arda Durmaz, et al.. (2023). Genomics of deletion 7 and 7q in myeloid neoplasm: from pathogenic culprits to potential synthetic lethal therapeutic targets. Leukemia. 37(10). 2082–2093. 10 indexed citations
2.
Rodríguez‐Sevilla, Juan José, Vera Ademà, Guillermo Garcia‐Manero, & Simona Colla. (2023). Emerging treatments for myelodysplastic syndromes: Biological rationales and clinical translation. Cell Reports Medicine. 4(2). 100940–100940. 14 indexed citations
3.
Ademà, Vera, Laura Palomo, Wencke Walter, et al.. (2022). Pathophysiologic and clinical implications of molecular profiles resultant from deletion 5q. EBioMedicine. 80. 104059–104059. 11 indexed citations
4.
Kongkiatkamon, Sunisa, Simona Pagliuca, Vera Ademà, et al.. (2021). Molecular characterization of the histone acetyltransferase CREBBP/EP300 genes in myeloid neoplasia. Leukemia. 36(4). 1185–1188. 3 indexed citations
5.
Awada, Hassan, Cassandra M Kerr, Arda Durmaz, et al.. (2021). Clonal trajectories and cellular dynamics of myeloid neoplasms with SF3B1 mutations. Leukemia. 35(11). 3324–3328. 1 indexed citations
6.
Hershberger, Courtney E., Vera Ademà, Cassandra M Kerr, et al.. (2020). Complex landscape of alternative splicing in myeloid neoplasms. Leukemia. 35(4). 1108–1120. 37 indexed citations
7.
Crisà, Elena, Austin Kulasekararaj, Vera Ademà, et al.. (2020). Impact of somatic mutations in myelodysplastic patients with isolated partial or total loss of chromosome 7. Leukemia. 34(9). 2441–2450. 10 indexed citations
8.
Shreve, Jacob, Manja Meggendorfer, Hassan Awada, et al.. (2019). A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML) Using Artificial Intelligence. Blood. 134(Supplement_1). 2091–2091. 15 indexed citations
9.
Ademà, Vera, Laura Palomo, Cassandra M Kerr, et al.. (2019). Molecular Dissection of Del(5q): Distinction between Primary and Secondary Del(5q) and Pathogenetic Implications. Blood. 134(Supplement_1). 4221–4221. 1 indexed citations
10.
Madanat, Yazan F., Mikkael A. Sekeres, Sudipto Mukherjee, et al.. (2018). Genomic Biomarkers Predict Response/Resistance to Lenalidomide in Non-Del(5q) Myelodysplastic Syndromes. Blood. 132(Supplement 1). 1797–1797. 6 indexed citations
11.
Hirsch, Cassandra M., Michael J. Clemente, Vera Ademà, et al.. (2017). High Frequency of Subclonal Myeloid Mutations Can be Found in Large Granular Lymphocyte Leukemia. Blood. 130. 1171–1171. 1 indexed citations
12.
Abuhadra, Nour, Sudipto Mukherjee, Cassandra M. Hirsch, et al.. (2017). BCOR Mutations in Myelodysplastic Syndromes (MDS): Mutation Characteristics Impact Clinical Outcomes. Blood. 130. 5304–5304. 3 indexed citations
13.
Nagata, Yasunobu, Bartlomiej Przychodzen, Cassandra M. Hirsch, et al.. (2017). Germline SAMD9 and SAMD9L Alterations in Adult Myelodysplastic Syndromes. Blood. 130. 1670–1670. 3 indexed citations
14.
Ademà, Vera, Cassandra M. Hirsch, Bartlomiej Przychodzen, et al.. (2017). Somatic PRPF8 Mutations in Myeloid Neoplasia. Blood. 130. 584–584. 2 indexed citations
15.
Nazha, Aziz, Sudipto Mukherjee, Vera Ademà, et al.. (2017). A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML). Blood. 130. 1408–1408. 2 indexed citations
16.
Ademà, Vera, Suresh Kumar Balasubramanian, Cassandra M. Hirsch, et al.. (2017). Novel Therapeutic Targets for DNMT3A Mutant Myeloid Neoplasms. Blood. 130. 106–106. 1 indexed citations
17.
Nazha, Aziz, Betty K. Hamilton, Tomas Radivoyevitch, et al.. (2017). Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes. Leukemia. 31(12). 2848–2850. 49 indexed citations
18.
Ademà, Vera, Érica Miranda de Torres, Françesc Solé, Sergi Serrano, & Beatríz Bellosillo. (2014). Paraffin Treasures: Do They Last Forever?. Biopreservation and Biobanking. 12(4). 281–283. 10 indexed citations
19.
Schneider, Rebekka K., Vera Ademà, Dirk Heckl, et al.. (2014). Role of Casein Kinase 1A1 in the Biology and Targeted Therapy of del(5q) MDS. Cancer Cell. 26(4). 509–520. 137 indexed citations
20.
Valcárcel, David, Vera Ademà, Françesc Solé, et al.. (2013). Complex, Not Monosomal, Karyotype Is the Cytogenetic Marker of Poorest Prognosis in Patients With Primary Myelodysplastic Syndrome. Journal of Clinical Oncology. 31(7). 916–922. 48 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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