Éva Vigh

588 total citations
12 papers, 399 citations indexed

About

Éva Vigh is a scholar working on Surgery, Oncology and Immunology. According to data from OpenAlex, Éva Vigh has authored 12 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Éva Vigh's work include Pancreatic and Hepatic Oncology Research (4 papers), Pancreatitis Pathology and Treatment (4 papers) and Macrophage Migration Inhibitory Factor (2 papers). Éva Vigh is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Pancreatitis Pathology and Treatment (4 papers) and Macrophage Migration Inhibitory Factor (2 papers). Éva Vigh collaborates with scholars based in Hungary, Sweden and Italy. Éva Vigh's co-authors include János Garai, Tamás Lóránd, Bálint Erőss, Hussain Alizadeh, Zoltán Rakonczay, László Czakó, András Garami, Péter Mátrai, Péter Hegyi and Zoltán Gyöngyi and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Current Medicinal Chemistry.

In The Last Decade

Éva Vigh

10 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éva Vigh Hungary 9 188 147 72 67 50 12 399
Jacek Paszkowski Poland 9 141 0.8× 84 0.6× 34 0.5× 74 1.1× 23 0.5× 39 382
Carol Chute United States 6 208 1.1× 146 1.0× 29 0.4× 74 1.1× 18 0.4× 6 740
Panagiota N. Mitrou United Kingdom 12 81 0.4× 185 1.3× 39 0.5× 48 0.7× 25 0.5× 13 530
Karolina Kędzierska Poland 11 143 0.8× 28 0.2× 43 0.6× 34 0.5× 20 0.4× 53 467
L. Aparisi Spain 10 243 1.3× 82 0.6× 172 2.4× 22 0.3× 27 0.5× 20 504
Xiaolong Yu China 14 69 0.4× 62 0.4× 77 1.1× 58 0.9× 11 0.2× 23 567
O. Espinosa Spain 11 63 0.3× 28 0.2× 66 0.9× 70 1.0× 21 0.4× 24 376
C. Perret Canada 11 78 0.4× 286 1.9× 50 0.7× 105 1.6× 52 1.0× 14 616
Émilien Gauthier France 7 65 0.3× 75 0.5× 86 1.2× 44 0.7× 7 0.1× 9 488
Tarek Salman Egypt 10 44 0.2× 33 0.2× 43 0.6× 48 0.7× 37 0.7× 21 335

Countries citing papers authored by Éva Vigh

Since Specialization
Citations

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

Fields of papers citing papers by Éva Vigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Vigh

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

All Works

12 of 12 papers shown
2.
Mikó, Alexandra, Éva Vigh, Péter Mátrai, et al.. (2019). Computed Tomography Severity Index vs. Other Indices in the Prediction of Severity and Mortality in Acute Pancreatitis: A Predictive Accuracy Meta-analysis. Frontiers in Physiology. 10. 1002–1002. 62 indexed citations
3.
Mikó, Alexandra, Éva Vigh, Péter Mátrai, et al.. (2019). CT-severity index can predict the severity of acute pancreatitis similar than other scoring systems. Pancreatology. 19. S142–S143.
4.
Kiss, Lóránd, Péter Mátrai, Péter Hegyi, et al.. (2018). The effect of serum triglyceride concentration on the outcome of acute pancreatitis: systematic review and meta-analysis. Scientific Reports. 8(1). 14096–14096. 57 indexed citations
5.
Mikó, Alexandra, Nelli Farkas, András Garami, et al.. (2018). Preexisting Diabetes Elevates Risk of Local and Systemic Complications in Acute Pancreatitis. Pancreas. 47(8). 917–923. 46 indexed citations
6.
Cazacu, Irina M., Nelli Farkas, András Garami, et al.. (2018). Pancreatitis-Associated Genes and Pancreatic Cancer Risk. Pancreas. 47(9). 1078–1086. 41 indexed citations
7.
Kiss, Lóránd, Péter Mátrai, Péter Hegyi, et al.. (2018). The effect of serum triglyceride concentration on the outcome of acute pancreatitis: Systematic review and meta-analysis. Pancreatology. 18(4). S97–S98. 10 indexed citations
8.
Farkas, Nelli, Péter Hegyi, Gábor Veres, et al.. (2017). Association between AIRE gene polymorphism and rheumatoid arthritis: a systematic review and meta-analysis of case-control studies. Scientific Reports. 7(1). 14096–14096. 20 indexed citations
9.
Vigh, Éva, Andrea Colombo, Emilio Benfenati, et al.. (2013). Individual breast milk consumption and exposure to PCBs and PCDD/Fs in Hungarian infants: A time-course analysis of the first three months of lactation. The Science of The Total Environment. 449. 336–344. 39 indexed citations
10.
Vigh, Éva, József Bódis, & János Garai. (2011). Longitudinal changes in macrophage migration inhibitory factor in breast milk during the first three months of lactation. Journal of Reproductive Immunology. 89(1). 92–94. 5 indexed citations
11.
Vigh, Éva, Valéria Molnár, P. Kenyeres, et al.. (2011). Thrombosis Preventive Potential of Chicory Coffee Consumption: A Clinical Study. Phytotherapy Research. 25(5). 744–748. 36 indexed citations
12.
Lóránd, Tamás, Éva Vigh, & János Garai. (2010). Hormonal Action of Plant Derived and Anthropogenic Non-Steroidal Estrogenic Compounds: Phytoestrogens and Xenoestrogens. Current Medicinal Chemistry. 17(30). 3542–3574. 83 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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