Róbert Maráz

436 total citations
23 papers, 241 citations indexed

About

Róbert Maráz is a scholar working on Cancer Research, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Róbert Maráz has authored 23 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 12 papers in Pathology and Forensic Medicine and 10 papers in Surgery. Recurrent topics in Róbert Maráz's work include Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (12 papers) and Breast Implant and Reconstruction (8 papers). Róbert Maráz is often cited by papers focused on Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (12 papers) and Breast Implant and Reconstruction (8 papers). Róbert Maráz collaborates with scholars based in Hungary, Austria and Slovenia. Róbert Maráz's co-authors include Gábor Cserni, Gábor Boross, Mihály Svébis, Éva Ambrózay, Rita Bori, György Lázár, Vuk Fait, István Sejben, Jaroslav Koča and Tomáš Pavlík and has published in prestigious journals such as European Journal of Surgical Oncology, The American Surgeon and Surgical Oncology.

In The Last Decade

Róbert Maráz

22 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Róbert Maráz Hungary 8 208 180 110 78 18 23 241
Federica Chiesa Italy 8 203 1.0× 125 0.7× 215 2.0× 43 0.6× 34 1.9× 18 293
Tammeza Gibson United States 7 217 1.0× 148 0.8× 159 1.4× 166 2.1× 17 0.9× 8 317
Grantley Gill Australia 5 165 0.8× 123 0.7× 103 0.9× 63 0.8× 11 0.6× 8 190
Amina Khan Pakistan 9 137 0.7× 101 0.6× 71 0.6× 62 0.8× 24 1.3× 41 225
H.A.G. van der Pol Netherlands 6 297 1.4× 253 1.4× 193 1.8× 91 1.2× 20 1.1× 6 324
Maíra Teixeira Dória Brazil 8 87 0.4× 60 0.3× 56 0.5× 79 1.0× 10 0.6× 24 196
Takao Taniya Japan 12 199 1.0× 157 0.9× 203 1.8× 103 1.3× 33 1.8× 29 332
Roswitha Köberle-Wührer Austria 5 251 1.2× 172 1.0× 204 1.9× 115 1.5× 8 0.4× 10 314
Alessandra Margherita De Scalzi Italy 7 107 0.5× 70 0.4× 61 0.6× 45 0.6× 15 0.8× 14 157
M. Sylván Sweden 6 116 0.6× 107 0.6× 58 0.5× 60 0.8× 12 0.7× 6 205

Countries citing papers authored by Róbert Maráz

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Maráz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbert Maráz

This figure shows the co-authorship network connecting the top 25 collaborators of Róbert Maráz. A scholar is included among the top collaborators of Róbert Maráz 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 Róbert Maráz. Róbert Maráz 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.
2.
Maráz, Róbert, et al.. (2020). Az őrszemnyirokcsomó extracapsularis áttétének jelentősége az emlőrák sebészi kezelésében. Magyar Sebészet (Hungarian Journal of Surgery). 73(1). 16–22.
3.
Sávolt, Ákos, Gábor Cserni, Róbert Maráz, et al.. (2019). Sentinel lymph node biopsy following previous axillary surgery in recurrent breast cancer. European Journal of Surgical Oncology. 45(10). 1835–1838. 16 indexed citations
4.
Maráz, Róbert, et al.. (2019). Negative pressure wound therapy of Corynebacterium jeikeium associated granulomatous mastitis. The Breast Journal. 26(3). 508–510. 3 indexed citations
5.
Maráz, Róbert, Tamás Zombori, Éva Ambrózay, & Gábor Cserni. (2017). The role of preoperative axillary ultrasound and fine-needle aspiration cytology in identifying patients with extensive axillary lymph node involvement. European Journal of Surgical Oncology. 43(11). 2021–2028. 4 indexed citations
6.
Lázár, György, Attila Bursics, László Harsányi, et al.. (2016). [3rd Hungarian Breast Cancer Consensus Conference - Surgery Guidelines].. PubMed. 60(3). 194–207. 3 indexed citations
7.
Lázár, György, Attila Bursics, László Harsányi, et al.. (2016). III. Emlőrák Konszenzus Konferencia – Az emlőrák korszerű sebészi kezelése. University of Debrecen Electronic Archive (University of Debrecen). 1 indexed citations
8.
Lázár, György, Attila Bursics, László Harsányi, et al.. (2016). Az emlőrák korszerű sebészi kezelése. III. Emlőrák-konszenzuskonferencia. Magyar Sebészet (Hungarian Journal of Surgery). 69(3). 117–132. 1 indexed citations
9.
Cserni, Gábor & Róbert Maráz. (2015). Regional Disease Control in Selected Patients with Sentinel Lymph Node Involvement and Omission of Axillary Lymph Node Dissection. Pathology & Oncology Research. 21(4). 861–866. 2 indexed citations
10.
Maráz, Róbert, et al.. (2014). The role of sentinel node biopsy in male breast cancer. Breast Cancer. 23(1). 85–91. 14 indexed citations
11.
Maráz, Róbert, et al.. (2013). Internal Mammary Sentinel Node Biopsy in Breast Cancer. Is it Indicated?. Pathology & Oncology Research. 20(1). 169–177. 12 indexed citations
12.
Maráz, Róbert, Gábor Boross, Éva Ambrózay, Mihály Svébis, & Gábor Cserni. (2013). Selective Ductectomy for the Diagnosis and Treatment of Intraductal Papillary Lesions Presenting with Single Duct Discharge. Pathology & Oncology Research. 19(3). 589–595. 4 indexed citations
13.
Cserni, Gábor, Rita Bori, Róbert Maráz, et al.. (2012). Multi-Institutional Comparison of Non-sentinel Lymph Node Predictive Tools in Breast Cancer Patients with High Predicted Risk of Further Axillary Metastasis. Pathology & Oncology Research. 19(1). 95–101. 7 indexed citations
14.
Cserni, Gábor, Gábor Boross, Róbert Maráz, et al.. (2011). Multicentre validation of different predictive tools of non-sentinel lymph node involvement in breast cancer. Surgical Oncology. 21(2). 59–65. 22 indexed citations
15.
Lázár, György, et al.. (2010). Az emlőrák korszerű sebészi kezelése. PubMed. 54(3). 227–234. 7 indexed citations
16.
Lázár, György, I Besznyák, Gábor Boross, et al.. (2010). Az emlőrák korszerű sebészi kezelése – II. Konszenzuskonferencia. Magyar Sebészet (Hungarian Journal of Surgery). 63(3). 132–140. 3 indexed citations
17.
Coufal, Oldřich, Tomáš Pavlík, Pavel Fabián, et al.. (2009). Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?. Pathology & Oncology Research. 15(4). 733–740. 50 indexed citations
18.
Cserni, Gábor, Rita Bori, István Sejben, et al.. (2009). Analysis of predictive tools for further axillary involvement in patients with sentinel lymph node positive small (≤15 mm) invasive breast cancer. Orvosi Hetilap. 150(48). 2182–2188. 5 indexed citations
19.
Cserni, Gábor, Gábor Boross, Róbert Maráz, et al.. (2006). [Sentinel lymph node biopsy for in situ carcinoma of the breast. Experience at the Bács-Kiskun County Hospital and review of the literature].. PubMed. 59(3). 164–72. 2 indexed citations
20.
Maráz, Róbert, et al.. (2005). [Response rates following neoadjuvant chemotherapy and breast preserving treatment in patients with locally advanced breast cancer].. PubMed. 58(4). 225–32. 2 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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