Amanda Demeter

548 total citations
10 papers, 209 citations indexed

About

Amanda Demeter is a scholar working on Epidemiology, Molecular Biology and Endocrinology. According to data from OpenAlex, Amanda Demeter has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Amanda Demeter's work include Autophagy in Disease and Therapy (5 papers), Vibrio bacteria research studies (3 papers) and CRISPR and Genetic Engineering (2 papers). Amanda Demeter is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Vibrio bacteria research studies (3 papers) and CRISPR and Genetic Engineering (2 papers). Amanda Demeter collaborates with scholars based in Hungary, United Kingdom and United States. Amanda Demeter's co-authors include Tamás Korcsmáros, Dávid Fazekas, Márton Ölbei, Tibor Vellai, Katalin Lenti, Péter Csermely, László Földvári-Nagy, Dénes Türei, Dezső Módos and Eszter Ari and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Autophagy.

In The Last Decade

Amanda Demeter

10 papers receiving 208 citations

Peers

Amanda Demeter

MB

EPIDE

CR

OG

PPCH

Caio César Barbosa Bomfim Brazil

Xiao-Fei Liu China

Jhen‐Wei Ruan Taiwan

Martin Lidén Sweden

Marijke R. van der Sijde Netherlands

M.A. El-Samahy China

Gokben Yildirir United States

Lele Xu China

Shiyan Sui China

Qingkui Jiang United States

Caio César Barbosa Bomfim Brazil

Amanda Demeter

113 ×1.0

MB

77 ×0.8

EPIDE

34 ×1.3

CR

17 ×0.7

OG

10 ×0.5

PPCH

Citations per year, relative to Amanda Demeter Amanda Demeter (= 1×) peers Caio César Barbosa Bomfim

Countries citing papers authored by Amanda Demeter

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Demeter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Demeter

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

All Works

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10 of 10 papers shown

1.

Bohár, Balázs, Dénes Türei, László Földvári-Nagy, et al.. (2023). AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation. Autophagy. 20(1). 188–201. 4 indexed citations

2.

Demeter, Amanda, Anne‐Claire Jacomin, Lejla Gul, et al.. (2022). Computational prediction and experimental validation of Salmonella Typhimurium SopE-mediated fine-tuning of autophagy in intestinal epithelial cells. Frontiers in Cellular and Infection Microbiology. 12. 834895–834895. 3 indexed citations

3.

Demeter, Amanda, Andrea Balogh, Melissa L. Wilson, et al.. (2021). Epigenetic Dysregulation of Trophoblastic Gene Expression in Gestational Trophoblastic Disease. Biomedicines. 9(12). 1935–1935. 9 indexed citations

4.

Demeter, Amanda. (2021). Disgust and Fascination. 3(2). 1 indexed citations

5.

Demeter, Amanda, et al.. (2020). ULK1 and ULK2 are less redundant than previously thought: computational analysis uncovers distinct regulation and functions of these autophagy induction proteins. Scientific Reports. 10(1). 10940–10940. 32 indexed citations

6.

Szilágyi, András, Roberto Romero, Yi Xu, et al.. (2020). Placenta-Specific Genes, Their Regulation During Villous Trophoblast Differentiation and Dysregulation in Preterm Preeclampsia. International Journal of Molecular Sciences. 21(2). 628–628. 27 indexed citations

7.

Sudhakar, Padhmanand, Anne‐Claire Jacomin, Isabelle Hautefort, et al.. (2019). Targeted interplay between bacterial pathogens and host autophagy. Autophagy. 15(9). 1620–1633. 34 indexed citations

8.

Métris, Aline, Padhmanand Sudhakar, Dávid Fazekas, et al.. (2017). SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation. npj Systems Biology and Applications. 3(1). 31–31. 21 indexed citations

9.

Fazekas, Dávid, Dénes Türei, Balázs Horváth, et al.. (2016). SignaFish: A Zebrafish-Specific Signaling Pathway Resource. Zebrafish. 13(6). 541–544. 4 indexed citations

10.

Türei, Dénes, László Földvári-Nagy, Dávid Fazekas, et al.. (2015). Autophagy Regulatory Network — A systems-level bioinformatics resource for studying the mechanism and regulation of autophagy. Autophagy. 11(1). 155–165. 74 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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