Virág Sági‐Kiss

734 total citations · 1 hit paper
21 papers, 480 citations indexed

About

Virág Sági‐Kiss is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Biomedical Engineering. According to data from OpenAlex, Virág Sági‐Kiss has authored 21 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 10 papers in Physiology and 6 papers in Biomedical Engineering. Recurrent topics in Virág Sági‐Kiss's work include Nutritional Studies and Diet (10 papers), Diet and metabolism studies (8 papers) and Advanced Chemical Sensor Technologies (6 papers). Virág Sági‐Kiss is often cited by papers focused on Nutritional Studies and Diet (10 papers), Diet and metabolism studies (8 papers) and Advanced Chemical Sensor Technologies (6 papers). Virág Sági‐Kiss collaborates with scholars based in United Kingdom, United States and Israel. Virág Sági‐Kiss's co-authors include Gunter Kuhnle, Michael A. Curtis, Jasmine Gan, Suborno M. Ghosh, William G. Wade, Sven van Eijl, Tahseen A Chowdhury, Rayomand S. Khambata, Amrita Ahluwalia and Krishnaraj S. Rathod and has published in prestigious journals such as Nature, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Virág Sági‐Kiss

20 papers receiving 475 citations

Hit Papers

Adenosine signalling to astrocytes coordinates brain meta... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adenosine signalling to astrocytes coordinates brain metabolism and function
    2024 68 citations Shefeeq M. Theparambil, Olga Kopach et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virág Sági‐Kiss United Kingdom 10 175 86 76 69 69 21 480
Patricia V. Torres-Durán Mexico 17 202 1.2× 119 1.4× 34 0.4× 103 1.5× 35 0.5× 31 908
Mary Pat Meaney United States 14 242 1.4× 238 2.8× 30 0.4× 74 1.1× 20 0.3× 25 744
Syed Sanober Qadri India 2 93 0.5× 182 2.1× 31 0.4× 54 0.8× 24 0.3× 5 534
Azam Bakhtiarian Iran 14 102 0.6× 161 1.9× 18 0.2× 19 0.3× 21 0.3× 66 564
Run Liu China 17 114 0.7× 233 2.7× 23 0.3× 118 1.7× 30 0.4× 34 746
Lu Gan China 14 73 0.4× 109 1.3× 52 0.7× 44 0.6× 25 0.4× 38 636
Lei Mao China 14 172 1.0× 252 2.9× 186 2.4× 151 2.2× 31 0.4× 32 724
Grazielle C. Silva Brazil 16 149 0.9× 192 2.2× 50 0.7× 62 0.9× 4 0.1× 34 647
Nengneng Cheng China 17 74 0.4× 200 2.3× 14 0.2× 16 0.2× 20 0.3× 36 598
Sue‐Mian Then Malaysia 12 144 0.8× 145 1.7× 31 0.4× 100 1.4× 23 0.3× 38 560

Countries citing papers authored by Virág Sági‐Kiss

Since Specialization
Citations

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

Fields of papers citing papers by Virág Sági‐Kiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virág Sági‐Kiss. 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 Virág Sági‐Kiss. The network helps show where Virág Sági‐Kiss may publish in the future.

Co-authorship network of co-authors of Virág Sági‐Kiss

This figure shows the co-authorship network connecting the top 25 collaborators of Virág Sági‐Kiss. A scholar is included among the top collaborators of Virág Sági‐Kiss 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 Virág Sági‐Kiss. Virág Sági‐Kiss 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.
O’Brien, Diane M., Laurence S. Freedman, Patrícia Rivera, et al.. (2025). Urine Stable Isotope Ratios Are Associated with Proportional Intakes of Animal Protein and Added Sugars in a 15-Day Controlled Feeding Study. Journal of Nutrition. 155(11). 3949–3956.
2.
Ottaviani, Javier I., Virág Sági‐Kiss, Hagen Schroeter, & Gunter Kuhnle. (2024). Reliance on self-reports and estimated food composition data in nutrition research introduces significant bias that can only be addressed with biomarkers. eLife. 13. 3 indexed citations
3.
Ottaviani, Javier I., Virág Sági‐Kiss, Hagen Schroeter, & Gunter Kuhnle. (2024). Reliance on self-reports and estimated food composition data in nutrition research introduces significant bias that can only be addressed with biomarkers. eLife. 13. 4 indexed citations
4.
Theparambil, Shefeeq M., Olga Kopach, Alice Braga, et al.. (2024). Adenosine signalling to astrocytes coordinates brain metabolism and function. Nature. 632(8023). 139–146. 68 indexed citations breakdown →
5.
O’Brien, Diane M., Laurence S. Freedman, Patrícia Rivera, et al.. (2024). The carbon isotope ratio of breath is elevated by short-term and long-term added sugar and animal protein intake in a controlled feeding study. American Journal of Clinical Nutrition. 120(3). 630–637. 1 indexed citations
6.
Sági‐Kiss, Virág, Mark H. Bennett, Maria E. Mycielska, et al.. (2023). Dyskeratosis Congenita Links Telomere Attrition to 
Age-Related Systemic Energetics. The Journals of Gerontology Series A. 78(5). 780–789. 2 indexed citations
7.
Tasevska, Natasha, Susana A. Palma-Duran, Virág Sági‐Kiss, et al.. (2023). Urinary Sucrose and Fructose From Spot Urine May Be Used as a Predictive Biomarker of Total Sugar Intake–Findings From a Controlled Feeding Study. Journal of Nutrition. 153(6). 1816–1824. 3 indexed citations
8.
Sági‐Kiss, Virág, Yufeng Li, Karsten Siems, et al.. (2022). Ion-Pairing Chromatography and Amine Derivatization Provide Complementary Approaches for the Targeted LC-MS Analysis of the Polar Metabolome. Journal of Proteome Research. 21(6). 1428–1437. 10 indexed citations
9.
O’Brien, Diane M., Virág Sági‐Kiss, Susana A. Palma-Duran, et al.. (2022). An evaluation of the serum carbon isotope ratio as a candidate predictive biomarker of the dietary animal protein ratio (animal protein/total protein) in a 15-day controlled feeding study of US adults. American Journal of Clinical Nutrition. 115(4). 1134–1143. 10 indexed citations
10.
Sági‐Kiss, Virág, Susana A. Palma-Duran, John Commins, et al.. (2022). Evaluating a Model of Added Sugar Intake Based on Amino Acid Carbon Isotope Ratios in a Controlled Feeding Study of U.S. Adults. Nutrients. 14(20). 4308–4308. 3 indexed citations
11.
Tasevska, Natasha, Virág Sági‐Kiss, Susana A. Palma-Duran, et al.. (2021). Investigating the performance of 24-h urinary sucrose and fructose as a biomarker of total sugars intake in US participants – a controlled feeding study. American Journal of Clinical Nutrition. 114(2). 721–730. 9 indexed citations
12.
Breda, Simone G. van, Virág Sági‐Kiss, Gunter Kuhnle, et al.. (2021). Replacement of Nitrite in Meat Products by Natural Bioactive Compounds Results in Reduced Exposure to N‐Nitroso Compounds: The PHYTOME Project. Molecular Nutrition & Food Research. 65(20). e2001214–e2001214. 18 indexed citations
13.
Breda, Simone G. van, Virág Sági‐Kiss, Gunter Kuhnle, et al.. (2019). Impact of high drinking water nitrate levels on the endogenous formation of apparent N-nitroso compounds in combination with meat intake in healthy volunteers. Environmental Health. 18(1). 87–87. 38 indexed citations
14.
Campbell, Rachel, Natasha Tasevska, Kim G. Jackson, et al.. (2017). Association between urinary biomarkers of total sugars intake and measures of obesity in a cross-sectional study. PLoS ONE. 12(7). e0179508–e0179508. 17 indexed citations
15.
Velmurugan, Shanti, Jasmine Gan, Krishnaraj S. Rathod, et al.. (2015). Dietary nitrate improves vascular function in patients with hypercholesterolemia: a randomized, double-blind, placebo-controlled study. American Journal of Clinical Nutrition. 103(1). 25–38. 206 indexed citations
16.
Sípos, László, Zoltán Kovács, Virág Sági‐Kiss, et al.. (2012). Discrimination of mineral waters by electronic tongue, sensory evaluation and chemical analysis. Food Chemistry. 135(4). 2947–2953. 53 indexed citations
17.
Brereton, Richard G. & Virág Sági‐Kiss. (2012). Comments on Multiple Self Organising Maps (mSOMs) for simultaneous classification and prediction: Illustrated by spoilage in apples using volatile organic profiles by S.F. Sim and V. Sági-Kiss. Chemometrics and Intelligent Laboratory Systems. 118. 308–310. 1 indexed citations
18.
Sim, Siong Fong & Virág Sági‐Kiss. (2011). Multiple Self Organising Maps (mSOMs) for simultaneous classification and prediction: Illustrated by spoilage in apples using volatile organic profiles. Chemometrics and Intelligent Laboratory Systems. 109(1). 57–64. 8 indexed citations
19.
Sági‐Kiss, Virág & Péter Fodor. (2011). Development of a SPME-GC-MS method for spoilage detection in case of plums inoculated withPenicillium expansum. Acta Alimentaria. 40(Supplement 1). 188–197. 7 indexed citations
20.

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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