Edyta Subocz

520 total citations
16 papers, 88 citations indexed

About

Edyta Subocz is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Edyta Subocz has authored 16 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 6 papers in Oncology. Recurrent topics in Edyta Subocz's work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Edyta Subocz is often cited by papers focused on Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Edyta Subocz collaborates with scholars based in Poland, United States and Spain. Edyta Subocz's co-authors include Mirosław Dziuk, Anna Waszczuk‐Gajda, Joanna Drozd‐Sokołowska, Tomasz Wróbel, Justyna Rybka, Jan Maciej Zaucha, Krzysztof Giannopoulos, W Wiktor-Jędrzejczak, Beata Stella‐Hołowiecka and Lidia Gil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Oncology.

In The Last Decade

Edyta Subocz

15 papers receiving 87 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edyta Subocz Poland 7 46 34 22 18 15 16 88
Éric Durot France 6 74 1.6× 65 1.9× 16 0.7× 10 0.6× 9 0.6× 26 92
Yoshiaki Usui Japan 7 42 0.9× 20 0.6× 51 2.3× 8 0.4× 14 0.9× 22 119
Patrick Ruz United States 6 37 0.8× 54 1.6× 36 1.6× 22 1.2× 38 2.5× 13 164
Ewa Stanisławska‐Biernat Poland 4 30 0.7× 11 0.3× 31 1.4× 11 0.6× 8 0.5× 9 155
Е. В. Зонова Russia 6 30 0.7× 15 0.4× 50 2.3× 10 0.6× 9 0.6× 21 162
Gayane Tumyan Russia 5 75 1.6× 56 1.6× 10 0.5× 26 1.4× 7 0.5× 22 117
Enrica Gamba Italy 3 61 1.3× 52 1.5× 8 0.4× 30 1.7× 15 1.0× 3 119
Ana Karen Nunez Cortes Mexico 7 42 0.9× 31 0.9× 41 1.9× 5 0.3× 6 0.4× 12 121
Guido Ghilardi United States 6 16 0.3× 27 0.8× 16 0.7× 12 0.7× 6 0.4× 19 95
Norbert Grobe Germany 5 55 1.2× 24 0.7× 10 0.5× 35 1.9× 12 0.8× 9 112

Countries citing papers authored by Edyta Subocz

Since Specialization
Citations

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

Fields of papers citing papers by Edyta Subocz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edyta Subocz

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

All Works

16 of 16 papers shown
1.
Mądry, Krzysztof, Joanna Drozd‐Sokołowska, Przemysław Biecek, et al.. (2024). No advantage of antimicrobial prophylaxis in AML/MDS/CMML patients treated with azacitidine—a prospective multicenter study by the Polish Adult Leukemia Group. Frontiers in Oncology. 14. 1404322–1404322. 1 indexed citations
2.
Zaleska, Joanna, Agnieszka Karczmarczyk, Ewa Wawrzyniak, et al.. (2022). The role of NPM1 alternative splicing in patients with chronic lymphocytic leukemia. PLoS ONE. 17(10). e0276674–e0276674. 2 indexed citations
3.
Karczmarczyk, Agnieszka, et al.. (2021). The Predominant Prognostic Significance of NOTCH1 Mutation Defined by Emulsion PCR in Chronic Lymphocytic Leukemia. Cancer Management and Research. Volume 13. 3663–3674. 2 indexed citations
4.
Giebel, Sebastian, Wanda Knopińska‐Posłuszny, Ewa Chmielowska, et al.. (2021). High efficacy of BGD (bendamustine, gemcitabine, and dexamethasone) in relapsed/refractory Hodgkin Lymphoma. Annals of Hematology. 100(7). 1755–1767.
5.
Sobas, Marta, Kamel Laribi, Joanna Drozd‐Sokołowska, et al.. (2021). Primary cutaneous indolent B-cell lymphomas – a retrospective multicenter analysis and a review of literature. Acta Oncologica. 60(10). 1361–1368. 8 indexed citations
6.
Grząśko, Norbert, Grzegorz Charliński, Marta Morawska, et al.. (2021). Bendamustine-Based Regimens as Salvage Therapy in Refractory/Relapsed Multiple Myeloma Patients: A Retrospective Real-Life Analysis by the Polish Myeloma Group. Journal of Clinical Medicine. 10(23). 5504–5504. 2 indexed citations
7.
Masternak, Michał M., Bartosz Puła, Anna Waszczuk‐Gajda, et al.. (2020). Mean Platelet Volume Has Prognostic Value in Chronic Lymphocytic Leukemia. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Puła, Bartosz, Anna Waszczuk‐Gajda, Joanna Drozd‐Sokołowska, et al.. (2020). <p>Mean Platelet Volume Has Prognostic Value in Chronic Lymphocytic Leukemia</p>. Cancer Management and Research. Volume 12. 9977–9985. 6 indexed citations
9.
Puła, Bartosz, Monika Długosz‐Danecka, Agnieszka Szymczyk, et al.. (2020). Efficacy of high-dose corticosteroid-based treatment for chronic lymphocytic leukemia patients with p53 abnormalities in the era of B-cell receptor inhibitors. Advances in Medical Sciences. 65(2). 371–377. 2 indexed citations
10.
11.
Subocz, Edyta, et al.. (2017). The role of FDG-PET in Hodgkin lymphoma. Współczesna Onkologia. 2(2). 104–114. 13 indexed citations
12.
Zaleska, Joanna, et al.. (2017). Prognostic impact of NOTCH1, MYD88 and SF3B1 mutations in Polish population of chronic lymphocytic leukemia patients. Polskie Archiwum Medycyny Wewnętrznej. 127(4). 238–244. 11 indexed citations
13.
Waszczuk‐Gajda, Anna, Krzysztof Mądry, Rafał Machowicz, et al.. (2016). Red Blood Cell Transfusion Dependency and Hyperferritinemia Are Associated with Impaired Survival in Patients Diagnosed with Myelodysplastic Syndromes: Results from the First Polish MDS-PALG Registry. Advances in Clinical and Experimental Medicine. 25(4). 633–641. 14 indexed citations
14.
Czyż, Anna, Joanna Drozd‐Sokołowska, Edyta Subocz, et al.. (2015). Early and late follow-up of patients with Hodgkin’s lymphoma. Recommendations of the Polish Lymphoma Research Group. Oncology in Clinical Practice. 11(6). 300–309. 1 indexed citations
15.
Knopińska‐Posłuszny, Wanda, Ewa Paszkiewicz‐Kozik, Anna Czyż, et al.. (2015). Zastosowanie bendamustyny z gemcytabiną i deksametazonem w leczeniu pierwotnie opornej i nawrotowej postaci chłoniaka Hodgkina – wieloośrodkowe badanie obserwacyjne Polskiej Grupy Badawczej Chłoniaków (PLRG). Acta Haematologica Polonica. 46. 58–59. 2 indexed citations
16.
Małkowski, Bogdan, Edyta Subocz, Justyna Rybka, et al.. (2014). Comparison of positron emission tomography/computed tomography with classical contrast-enhanced computed tomography in the initial staging of Hodgkin lymphoma. Leukemia & lymphoma. 56(2). 377–382. 17 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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