Éva Sebő

631 total citations
9 papers, 491 citations indexed

About

Éva Sebő is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Éva Sebő has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Éva Sebő's work include Gut microbiota and health (6 papers), Epigenetics and DNA Methylation (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Éva Sebő is often cited by papers focused on Gut microbiota and health (6 papers), Epigenetics and DNA Methylation (4 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Éva Sebő collaborates with scholars based in Hungary, United States and Qatar. Éva Sebő's co-authors include Edit Mikó, Péter Bai, Judit Tóth, Gyula Ujlaki, Tündé Kovàcs, Gábor Méhes, Tamás Csonka, Judit Szabó, Péter Árkosy and Borbála Kiss and has published in prestigious journals such as Scientific Reports, Cells and Cancers.

In The Last Decade

Éva Sebő

9 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Éva Sebő Hungary	6	391	173	65	63	40	9	491
Yuejie Xu China	11	278 0.7×	123 0.7×	89 1.4×	50 0.8×	42 1.1×	17	529
Dezső Tóth Hungary	9	239 0.6×	104 0.6×	39 0.6×	35 0.6×	54 1.4×	33	384
András Vida Hungary	12	253 0.6×	171 1.0×	32 0.5×	61 1.0×	39 1.0×	16	497
Zsanett Sári Hungary	6	229 0.6×	133 0.8×	33 0.5×	43 0.7×	30 0.8×	6	341
Anna Brunet‐Vega Spain	7	396 1.0×	105 0.6×	203 3.1×	38 0.6×	55 1.4×	15	486
Baokun He China	6	239 0.6×	98 0.6×	73 1.1×	21 0.3×	22 0.6×	12	375
Anthony Andren United States	9	344 0.9×	100 0.6×	159 2.4×	42 0.7×	22 0.6×	14	537
Haosheng Tang China	9	296 0.8×	72 0.4×	129 2.0×	41 0.7×	21 0.5×	9	430
Maud Heuillet France	9	309 0.8×	62 0.4×	72 1.1×	36 0.6×	16 0.4×	11	429
Karen Blohm‐Mangone United States	13	324 0.8×	79 0.5×	39 0.6×	20 0.3×	58 1.4×	13	499

Countries citing papers authored by Éva Sebő

Since Specialization

Citations

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

Fields of papers citing papers by Éva Sebő

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Sebő

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Mikó, Edit, Adrienn Sipos, Andrea Lehoczki, et al.. (2024). Guideline for designing microbiome studies in neoplastic diseases. GeroScience. 46(5). 4037–4057. 5 indexed citations

2.

Kiss, Borbála, Edit Mikó, Éva Sebő, et al.. (2020). Oncobiosis and Microbial Metabolite Signaling in Pancreatic Adenocarcinoma. Cancers. 12(5). 1068–1068. 49 indexed citations

3.

Kovàcs, Tündé, Tamás Csonka, Mariëtta Török, et al.. (2020). Fecal expression of Escherichia coli lysine decarboxylase (LdcC) is downregulated in E-cadherin negative lobular breast carcinoma. Physiology International. 107(2). 349–358. 12 indexed citations

4.

Sári, Zsanett, Edit Mikó, Tündé Kovàcs, et al.. (2020). Indolepropionic Acid, a Metabolite of the Microbiome, Has Cytostatic Properties in Breast Cancer by Activating AHR and PXR Receptors and Inducing Oxidative Stress. Cancers. 12(9). 2411–2411. 106 indexed citations

5.

Forrai, Gábor, Eszter Kovács, Éva Ambrózay, et al.. (2020). [Radiology/Nuclear Medicine Group. Use of imaging methods in the current screening, diagnostics and treatment of breast cancer - Professional guidelines. 4th Breast Cancer Consensus Conference].. PubMed. 64(4). 278–299. 3 indexed citations

6.

Mikó, Edit, Tündé Kovàcs, Éva Sebő, et al.. (2019). Microbiome—Microbial Metabolome—Cancer Cell Interactions in Breast Cancer—Familiar, but Unexplored. Cells. 8(4). 293–293. 162 indexed citations

7.

Kovàcs, Tündé, Edit Mikó, András Vida, et al.. (2019). Cadaverine, a metabolite of the microbiome, reduces breast cancer aggressiveness through trace amino acid receptors. Scientific Reports. 9(1). 1300–1300. 143 indexed citations

8.

Tóth, Dezső, et al.. (2015). Predictive Factors for Positive Margin and the Surgical Learning Curve in Non-Palpable Breast Cancer After Wire-Guided Localization – Prospective Study of 214 Consecutive Patients. Pathology & Oncology Research. 22(1). 209–215. 8 indexed citations

9.

Tóth, Dezső, et al.. (2012). Role of core needle biopsy in the treatment of radial scar. The Breast. 21(6). 761–763. 3 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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