Judit Várkonyi

1.3k total citations
39 papers, 483 citations indexed

About

Judit Várkonyi is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Judit Várkonyi has authored 39 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hematology, 16 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Judit Várkonyi's work include Acute Myeloid Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (7 papers) and Iron Metabolism and Disorders (7 papers). Judit Várkonyi is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (7 papers) and Iron Metabolism and Disorders (7 papers). Judit Várkonyi collaborates with scholars based in Hungary, United States and Austria. Judit Várkonyi's co-authors include Yelena Ginzburg, Ronald Hoffman, Tomas Ganz, Eran Zimran, István Karádi, Attila Tordai, Judit Demeter, Hajnalka Andrikovics, Gergely Varga and Katalin Pálóczi and has published in prestigious journals such as International Journal of Cancer, British Journal of Haematology and Leukemia.

In The Last Decade

Judit Várkonyi

37 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judit Várkonyi Hungary 12 241 221 121 82 62 39 483
Marisa Pautasso Italy 12 262 1.1× 187 0.8× 264 2.2× 28 0.3× 33 0.5× 35 584
Lorrie L. Delehanty United States 11 387 1.6× 211 1.0× 286 2.4× 100 1.2× 12 0.2× 16 649
Pak Leng Cheong Australia 8 84 0.3× 83 0.4× 148 1.2× 38 0.5× 34 0.5× 17 321
Shinya Rai Japan 11 106 0.4× 162 0.7× 128 1.1× 34 0.4× 21 0.3× 47 385
Satoru Takahashi Japan 10 81 0.3× 71 0.3× 268 2.2× 59 0.7× 90 1.5× 12 466
Valérie Camara‐Clayette France 13 134 0.6× 139 0.6× 189 1.6× 37 0.5× 30 0.5× 24 453
Osamu Iwase Japan 10 214 0.9× 136 0.6× 82 0.7× 17 0.2× 52 0.8× 31 412
Carol Halloran United States 9 522 2.2× 304 1.4× 119 1.0× 23 0.3× 55 0.9× 11 730
Delia C. Tang United States 11 162 0.7× 198 0.9× 212 1.8× 35 0.4× 22 0.4× 17 478
Kazuya Tsuboi Japan 10 218 0.9× 240 1.1× 167 1.4× 111 1.4× 89 1.4× 21 462

Countries citing papers authored by Judit Várkonyi

Since Specialization
Citations

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

Fields of papers citing papers by Judit Várkonyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Várkonyi

This figure shows the co-authorship network connecting the top 25 collaborators of Judit Várkonyi. A scholar is included among the top collaborators of Judit Várkonyi 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 Judit Várkonyi. Judit Várkonyi 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.
Tóth, András Dávid, Laura Horváth, Péter Farkas, et al.. (2024). Myeloma multiplexben szenvedő betegek túlélési eredményei a Semmelweis Egyetem Belgyógyászati és Hematológiai Klinikáján. Orvosi Hetilap. 165(39). 1539–1547.
2.
Sgherza, Nicola, Juan Sáinz, Federica Gemignani, et al.. (2020). Genetic polymorphisms associated with telomere length and risk of developing myeloproliferative neoplasms. Blood Cancer Journal. 10(8). 89–89. 17 indexed citations
3.
Ginzburg, Yelena, et al.. (2018). Dysregulated iron metabolism in polycythemia vera: etiology and consequences. Leukemia. 32(10). 2105–2116. 88 indexed citations
4.
Santos, Júlio, Pierre Brissot, R. W. Evans, et al.. (2014). The importance of the general practitioner as an information source for patients with hereditary haemochromatosis. Patient Education and Counseling. 96(1). 86–92. 9 indexed citations
5.
Várkonyi, Judit. (2011). The Myelodysplastic Syndromes. DIAL (Catholic University of Leuven). 1 indexed citations
6.
Várkonyi, Judit, Nikolette Szücs, Zoltán Pozsonyi, et al.. (2010). Hemochromatosis and Hemojuvelin G320V Homozygosity in a Hungarian Woman. Acta Haematologica. 123(3). 191–193. 6 indexed citations
7.
8.
Kovács, Margit, Ágnes F. Semsei, András Falus, et al.. (2009). Comparative analysis of IL6 promoter and receptor polymorphisms in myelodysplasia and multiple myeloma. Leukemia Research. 33(11). 1570–1573. 18 indexed citations
9.
Niedoszytko, Marek, Bogusław Nedoszytko, Magdalena Lange, et al.. (2008). Vascular Endothelial Growth Factor (VEGF) promoter gene polymorphism in mastocytosis. A study of the European Competence Network on Mastocytosis (ECNM). Data Archiving and Networked Services (DANS). 1 indexed citations
10.
Várkonyi, Judit, Lívia Jánoskúti, Nóra Hosszúfalusi, et al.. (2008). Glutathione S-Transferase Enzyme Polymorphisms in a Hungarian Myelodysplasia Study Population. Pathology & Oncology Research. 14(4). 429–433. 3 indexed citations
11.
Nedoszytko, Bogusław, Marek Niedoszytko, Magdalena Lange, et al.. (2008). Associations of TNF-alpha gene polymorphisms and mastocytosis. A study of the European competence network in mastocytosis (ECNM). Allergy. 63. 154–154. 2 indexed citations
12.
Várkonyi, Judit, et al.. (2008). Short or Long Survival in Multiple Myeloma. A Simple Method for Determining the Prognosis. Pathology & Oncology Research. 15(3). 383–387. 2 indexed citations
13.
Kovács, Margit, István Karádi, Béla Melegh, et al.. (2008). Polymorphisms of TNF-alpha and LT-alpha genes in multiple myeloma. Leukemia Research. 32(10). 1499–1504. 28 indexed citations
14.
Sebestyén, Anna, et al.. (2007). Activity of the Notch‐signalling Pathway in Circulating Human Chronic Lymphocytic Leukaemia Cells. Scandinavian Journal of Immunology. 65(3). 271–275. 10 indexed citations
15.
Varga, Gergely, Judit Kiss, Judit Várkonyi, et al.. (2007). Inappropriate notch activity and limited mesenchymal stem cell plasticity in the bone marrow of patients with myelodysplastic syndromes. Pathology & Oncology Research. 13(4). 311–319. 35 indexed citations
16.
Várkonyi, Judit, et al.. (2006). New Aspects of Copper and Iron Metabolism in the Myelodysplastic Syndromes. Chemotherapy. 52(2). 66–68. 5 indexed citations
17.
Várkonyi, Judit, et al.. (2002). Gaucher disease type I complicated with Parkinson's syndrome. PubMed. 32(3). 271–275. 18 indexed citations
18.
Várkonyi, Judit, Hanna Rosenbaum, Nicole Baumann, et al.. (2002). Gaucher disease associated with parkinsonism: Four further case reports. American Journal of Medical Genetics Part A. 116A(4). 348–351. 48 indexed citations
19.
Várkonyi, Judit, Attila Zalatnai, József Tı́már, et al.. (2000). Secondary Cutaneous Infiltration in B Cell Chronic Lymphocytic Leukemia. Acta Haematologica. 103(2). 116–121. 9 indexed citations
20.
Várkonyi, Judit, et al.. (1990). Leukemogenic risk prediction of the cytostatic treatment.. PubMed. 340D. 53–63. 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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