Sofya Kovalchuk

632 total citations
17 papers, 95 citations indexed

About

Sofya Kovalchuk is a scholar working on Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sofya Kovalchuk has authored 17 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sofya Kovalchuk's work include Lymphoma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (5 papers) and Medical Imaging Techniques and Applications (3 papers). Sofya Kovalchuk is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (5 papers) and Medical Imaging Techniques and Applications (3 papers). Sofya Kovalchuk collaborates with scholars based in Italy, France and United Kingdom. Sofya Kovalchuk's co-authors include Luigi Rigacci, Benedetta Puccini, Valentina Berti, Flavia Linguanti, Emanuele Cencini, Alberto Bosi, Monica Bocchia, Roberto Sciagrà, Alberto Fabbri and Maria Christina Cox and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Clinical Cancer Research.

In The Last Decade

Sofya Kovalchuk

16 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofya Kovalchuk Italy 6 67 47 24 20 19 17 95
Catherine Thieblemont France 7 59 0.9× 56 1.2× 17 0.7× 10 0.5× 20 1.1× 23 97
Mohamed Ahmed United States 6 98 1.5× 73 1.6× 18 0.8× 6 0.3× 25 1.3× 9 135
Edyta Subocz Poland 7 46 0.7× 14 0.3× 15 0.6× 9 0.5× 34 1.8× 16 88
Carla Casulo United States 5 111 1.7× 55 1.2× 18 0.8× 56 2.8× 18 0.9× 12 131
Farheen Mir United Kingdom 6 109 1.6× 74 1.6× 18 0.8× 14 0.7× 25 1.3× 13 167
Maneesh Tandon United Kingdom 8 99 1.5× 65 1.4× 23 1.0× 35 1.8× 77 4.1× 18 138
Yazeed Sawalha United States 8 99 1.5× 97 2.1× 10 0.4× 15 0.8× 53 2.8× 43 169
Lauren E. Strelec United States 5 68 1.0× 47 1.0× 12 0.5× 18 0.9× 30 1.6× 11 81
Allison Barraclough Australia 8 106 1.6× 87 1.9× 21 0.9× 20 1.0× 30 1.6× 29 152
Gayane Tumyan Russia 5 75 1.1× 60 1.3× 7 0.3× 22 1.1× 56 2.9× 22 117

Countries citing papers authored by Sofya Kovalchuk

Since Specialization
Citations

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

Fields of papers citing papers by Sofya Kovalchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofya Kovalchuk

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

All Works

17 of 17 papers shown
1.
2.
Cencini, Emanuele, Ilaria Romano, Federico Simonetti, et al.. (2021). Ibrutinib in patients with relapsed/refractory mantle cell lymphoma: a real-life, retrospective, multicenter trial on behalf of the "RTL" (regional Tuscan lymphoma network).. PubMed. 11(4). 373–383. 5 indexed citations
3.
Linguanti, Flavia, Benedetta Puccini, Luigi Rigacci, et al.. (2020). Baseline metabolic tumor volume calculation using different SUV thresholding methods in Hodgkin lymphoma patients: interobserver agreement and reproducibility across software platforms. Nuclear Medicine Communications. 42(3). 284–291. 18 indexed citations
4.
Salles, Gilles, Ka Lung Wu, Sofya Kovalchuk, et al.. (2020). Safety Profile of Idelalisib in Patients with Refractory Follicular Lymphoma: Interim Analysis of a Noninterventional Study. Blood. 136(Supplement 1). 48–50. 1 indexed citations
5.
Santopietro, Michelina, Sofya Kovalchuk, Roberta Battistini, et al.. (2020). Treatment and prognosis of primary pulmonary lymphoma: A long‐term follow‐up study. European Journal Of Haematology. 106(1). 49–57. 1 indexed citations
6.
Luminari, Stefano, Benedetta Donati, Massimiliano Casali, et al.. (2019). A Gene Expression–based Model to Predict Metabolic Response After Two Courses of ABVD in Hodgkin Lymphoma Patients. Clinical Cancer Research. 26(2). 373–383. 11 indexed citations
7.
Albano, Domenico, Riccardo Laudicella, Paola Ferro, et al.. (2019). The Role of 18F-FDG PET/CT in Staging and Prognostication of Mantle Cell Lymphoma: An Italian Multicentric Study. Cancers. 11(12). 1831–1831. 14 indexed citations
8.
Granai, Massimo, Teresa Amato, Arianna Di Napoli, et al.. (2019). IGHV mutational status of nodal marginal zone lymphoma by NGS reveals distinct pathogenic pathways with different prognostic implications. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 477(1). 143–150. 2 indexed citations
9.
Rigacci, Luigi, Benedetta Puccini, Alessandro Broccoli, et al.. (2019). Clinical characteristics of interim-PET negative patients with a positive end PET from the prospective HD08-01 FIL study. Annals of Hematology. 99(2). 283–291. 3 indexed citations
10.
Rigacci, Luigi, Sofya Kovalchuk, Valentina Berti, et al.. (2018). The use of Deauville 5-point score could reduce the risk of false-positive fluorodeoxyglucose-positron emission tomography in the posttherapy evaluation of patients with primary bone lymphomas. SHILAP Revista de lepidopterología. 17(3). 157–165. 2 indexed citations
11.
Galimberti, Sara, Elena Ciabatti, Susanna Grassi, et al.. (2017). The Combination of Rituximab and Bendamustine as First-Line Treatment Is Highly Effective in the Eradicating Minimal Residual Disease in Follicular Lymphoma: An Italian Retrospective Study. Frontiers in Pharmacology. 8. 413–413. 3 indexed citations
12.
Cencini, Emanuele, Benedetta Puccini, Luigi Rigacci, et al.. (2017). Radiotherapy plus rituximab as first-line regimen for localized follicular lymphoma. Leukemia & lymphoma. 59(6). 1420–1426. 9 indexed citations
13.
Cencini, Emanuele, Alberto Fabbri, Luigi Rigacci, et al.. (2015). Evaluation of the prognostic role of tumour‐associated macrophages in newly diagnosed classical Hodgkin lymphoma and correlation with early FDG‐PET assessment. Hematological Oncology. 35(1). 69–78. 21 indexed citations
14.
Rigacci, Luigi, Benedetta Puccini, Sofya Kovalchuk, et al.. (2014). Feasibility and safety of a reduced duration of therapy of colony-stimulating factor in a dose-dense regimen. Supportive Care in Cancer. 22(9). 2557–2561. 2 indexed citations
15.
Cencini, Emanuele, Alessandra Fabbri, Luigi Rigacci, et al.. (2014). EVALUATION OF THE PROGNOSTIC ROLE OF TISSUE ASSOCIATED MACROPHAGES (TAM) IN HODGKIN LYMPHOMA AND CORRELATION WITH EARLY FDG-PET ASSESSMENT. 99. 397–398. 1 indexed citations
16.
Rigacci, Luigi, Guido Scoccianti, Benedetta Puccini, et al.. (2013). Primary lymphoma of bone: single center experience. 2(2). 1 indexed citations
17.
Kovalchuk, Sofya, et al.. (1993). The effect of hypoxic-hypercapnic training on recovery of local protective lung factors during experimental chronic pneumonia. Bulletin of Experimental Biology and Medicine. 115(2). 175–178. 1 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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