A Lovas

1.0k total citations
13 papers, 543 citations indexed

About

A Lovas is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, A Lovas has authored 13 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Plant Science. Recurrent topics in A Lovas's work include NF-κB Signaling Pathways (5 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant nutrient uptake and metabolism (2 papers). A Lovas is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant nutrient uptake and metabolism (2 papers). A Lovas collaborates with scholars based in Germany, Hungary and Czechia. A Lovas's co-authors include Falk Weih, Zsófia Bánfalvi, László Szabó, Andrea Bimbó, Georg Greiner, Günter Schneider, Tobias Wagner, Oliver H. Krämer, Roland M. Schmid and Dieter Saur and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Oncogene.

In The Last Decade

A Lovas

13 papers receiving 535 citations

Peers

A Lovas
Luojing Chen United States
Jeong Soo Hong South Korea
Hernán Roca United States
Melissa S. McNulty United States
Jae Ho Lee South Korea
A Lovas
Citations per year, relative to A Lovas A Lovas (= 1×) peers Xiaofei Zhang

Countries citing papers authored by A Lovas

Since Specialization
Citations

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

Fields of papers citing papers by A Lovas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Lovas

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

All Works

13 of 13 papers shown
1.
Lovas, A, Alexander Rauch, Nico Andreas, et al.. (2015). Classical and alternative NF-κB signaling cooperate in regulating adipocyte differentiation and function. International Journal of Obesity. 40(3). 452–459. 17 indexed citations
2.
Fjordbakk, Cathrine T., et al.. (2014). Surgical stress influences cytokine content in autologous conditioned serum. Equine Veterinary Journal. 47(2). 212–217. 27 indexed citations
4.
Schneider, Günter, Annika Henrich, Georg Greiner, et al.. (2010). Cross talk between stimulated NF-κB and the tumor suppressor p53. Oncogene. 29(19). 2795–2806. 133 indexed citations
5.
Lötzer, Katharina, Rolf Gräbner, Rainer Spanbroek, et al.. (2010). Mouse Aorta Smooth Muscle Cells Differentiate Into Lymphoid Tissue Organizer-Like Cells on Combined Tumor Necrosis Factor Receptor-1/Lymphotoxin β-Receptor NF-κB Signaling. Arteriosclerosis Thrombosis and Vascular Biology. 30(3). 395–402. 85 indexed citations
6.
Soysa, Niroshani S., Neil Alles, Debra Weih, et al.. (2009). The pivotal role of the alternative NF-κB pathway in maintenance of basal bone homeostasis and osteoclastogenesis. Journal of Bone and Mineral Research. 25(4). 809–818. 62 indexed citations
7.
Lovas, A, Dörte Radke, Daniela Albrecht, et al.. (2008). Differential RelA- and RelB-dependent gene transcription in LTβR-stimulated mouse embryonic fibroblasts. BMC Genomics. 9(1). 606–606. 25 indexed citations
8.
Ferg, Marco, Remo Sanges, Jochen Gehrig, et al.. (2007). The TATA-binding protein regulates maternal mRNA degradation and differential zygotic transcription in zebrafish. The EMBO Journal. 26(17). 3945–3956. 54 indexed citations
9.
Lovas, A, et al.. (2005). Active RNA Silencing at Low Temperature Indicates Distinct Pathways for Antisense-Mediated Gene-Silencing in Potato. Plant Molecular Biology. 59(4). 595–602. 20 indexed citations
10.
Lovas, A. (2003). Functional diversity of potato SNF1-related kinases tested in Saccharomyces cerevisiae. Gene. 321. 123–129. 17 indexed citations
11.
Lovas, A, Andrea Bimbó, László Szabó, & Zsófia Bánfalvi. (2003). Antisense repression of StubGAL83 affects root and tuber development in potato. The Plant Journal. 33(1). 139–147. 64 indexed citations
12.
Fischer, Lukáš, A Lovas, Z. Opatrný, & Zsófia Bánfalvi. (2002). Structure and expression of a hybrid proline-rich protein gene in the solanaceous species,Solanum brevidens, Solanum tuberosum, andLycopersicum esculentum. Journal of Plant Physiology. 159(11). 1271–1275. 4 indexed citations
13.
Molnár, Attila, et al.. (2001). Tissue-specific signal(s) activate the promoter of a metallocarboxypeptidase inhibitor gene family in potato tuber and berry. Plant Molecular Biology. 46(3). 301–311. 14 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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