László Orosz

3.7k total citations · 1 hit paper
109 papers, 2.7k citations indexed

About

László Orosz is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, László Orosz has authored 109 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 32 papers in Ecology and 30 papers in Plant Science. Recurrent topics in László Orosz's work include Bacteriophages and microbial interactions (27 papers), Legume Nitrogen Fixing Symbiosis (27 papers) and Plant nutrient uptake and metabolism (16 papers). László Orosz is often cited by papers focused on Bacteriophages and microbial interactions (27 papers), Legume Nitrogen Fixing Symbiosis (27 papers) and Plant nutrient uptake and metabolism (16 papers). László Orosz collaborates with scholars based in Hungary, United Kingdom and United States. László Orosz's co-authors include Tibor Vellai, Attila Kovács, Krisztina Takács‐Vellai, Fritz Müller, Yue Zhang, Sankar Adhya, Meher Irani, Éva Kondorosi, Zóra Sváb and Péter Papp and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

László Orosz

104 papers receiving 2.6k citations

Hit Papers

Influence of TOR kinase on lifespan in C. elegans 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Orosz Hungary 22 1.3k 741 513 441 406 109 2.7k
David B. Friedman United States 36 2.3k 1.8× 694 0.9× 138 0.3× 91 0.2× 191 0.5× 68 4.1k
Lea Harrington Canada 35 3.4k 2.7× 594 0.8× 392 0.8× 114 0.3× 177 0.4× 78 5.0k
Miyuki Sato Japan 31 2.6k 2.0× 528 0.7× 219 0.4× 81 0.2× 973 2.4× 79 4.3k
Johannes H. Bauer United States 24 1.1k 0.9× 314 0.4× 87 0.2× 130 0.3× 207 0.5× 35 2.2k
Simon Tuck Sweden 26 1.4k 1.1× 875 1.2× 111 0.2× 58 0.1× 137 0.3× 42 2.4k
H J Ellis United Kingdom 23 1.1k 0.8× 419 0.6× 225 0.4× 39 0.1× 894 2.2× 60 2.9k
JoAnne Engebrecht United States 35 4.8k 3.7× 361 0.5× 653 1.3× 281 0.6× 91 0.2× 65 5.5k
Jane Mellor United Kingdom 43 5.9k 4.7× 119 0.2× 1.3k 2.5× 126 0.3× 248 0.6× 78 6.8k
María L. Cayuela Spain 27 1.2k 0.9× 311 0.4× 103 0.2× 65 0.1× 147 0.4× 57 2.7k
Ralf Schmid United Kingdom 26 926 0.7× 90 0.1× 369 0.7× 247 0.6× 75 0.2× 51 2.0k

Countries citing papers authored by László Orosz

Since Specialization
Citations

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

Fields of papers citing papers by László Orosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Orosz

This figure shows the co-authorship network connecting the top 25 collaborators of László Orosz. A scholar is included among the top collaborators of László Orosz 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 László Orosz. László Orosz 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.
Than, Nándor Gábor, László Orosz, Simona W. Rossi, et al.. (2022). Early pathways, biomarkers, and four distinct molecular subclasses of preeclampsia: The intersection of clinical, pathological, and high-dimensional biology studies. Placenta. 125. 10–19. 31 indexed citations
2.
Sugár, László, János Nagy, Júlia Wilhelm, et al.. (2020). Mining the red deer genome (CerEla1.0) to develop X-and Y-chromosome-linked STR markers. PLoS ONE. 15(11). e0242506–e0242506. 7 indexed citations
3.
Orosz, László, Zsolt Karányi, Zoltán Tóth, et al.. (2019). Screening for preeclampsia in the first trimester of pregnancy in routine clinical practice in Hungary. Journal of Biotechnology. 300. 11–19. 4 indexed citations
5.
Bower, Sarah, et al.. (2015). Endoscopic Placental Laser Coagulation in Monochorionic Diamniotic Twins with Type II Selective Fetal Growth Restriction. Fetal Diagnosis and Therapy. 38(2). 86–93. 47 indexed citations
6.
Chaveeva, Petya, et al.. (2013). Embryo Reduction in Dichorionic Triplets to Dichorionic Twins by Intrafetal Laser. Fetal Diagnosis and Therapy. 35(2). 83–86. 14 indexed citations
7.
Cserni, Tamás, Olga Török, Andrea Nagy, et al.. (2011). In utero incarceration of congenital diaphragmatic hernia. Journal of Pediatric Surgery. 46(3). 551–553. 9 indexed citations
8.
Orosz, László, Arjan W.J. Hoksbergen, Csilla Molnár, et al.. (2009). Clinical applicability of a mathematical model in assessing the functional ability of the communicating arteries of the circle of Willis. Journal of the Neurological Sciences. 287(1-2). 94–99. 17 indexed citations
9.
Kósa, János P., Bernadett Balla, Gábor Speer, et al.. (2009). Effect of menopause on gene expression pattern in bone tissue of nonosteoporotic women. Menopause The Journal of The North American Menopause Society. 16(2). 367–377. 15 indexed citations
10.
Villányi, Zoltán, István Gyurján, Viktor Stéger, & László Orosz. (2008). Plaque-Based Competitive Hybridization. SLAS DISCOVERY. 13(1). 80–84. 3 indexed citations
11.
Egyed, Balázs, Adrienn Borsy, Zsolt Pádár, et al.. (2008). Genetic identification of red deer using autosomal STR markers. Forensic science international. Genetics supplement series. 1(1). 623–624. 6 indexed citations
12.
Tóth, Márton L., Tímea Sigmond, Éva Borsos, et al.. (2008). Longevity pathways converge on autophagy genes to regulate life span inCaenorhabditis elegans. Autophagy. 4(3). 330–338. 338 indexed citations
13.
Balla, Bernadett, János P. Kósa, J. Kiss, et al.. (2007). Different Gene Expression Patterns in the Bone Tissue of Aging Postmenopausal Osteoporotic and Non-osteoporotic Women. Calcified Tissue International. 82(1). 12–26. 43 indexed citations
14.
Korpos, Éva, Andrea Molnár, Péter Papp, et al.. (2005). Expression pattern of matrilins and other extracellular matrix proteins characterize distinct stages of cell differentiation during antler development. Matrix Biology. 24(2). 124–135. 19 indexed citations
15.
Semsey, Szabolcs, et al.. (2004). A proline tRNA(CGG) gene encompassing the attachment site of temperate phage 16‐3 is functional and convertible to suppressor tRNA. Molecular Microbiology. 54(3). 742–754. 4 indexed citations
16.
Vellai, Tibor, Krisztina Takács‐Vellai, Yue Zhang, et al.. (2003). Influence of TOR kinase on lifespan in C. elegans. Nature. 426(6967). 620–620. 839 indexed citations breakdown →
17.
Orosz, László, et al.. (2002). Assessment of cerebrovascular reserve capacity in asymptomatic and symptomatic hemodynamically significant carotid stenoses and occlusions. Surgical Neurology. 57(5). 333–339. 10 indexed citations
18.
Kereszt, Attila, et al.. (1998). Integrative promoter cloning plasmid vectors forRhizobium meliloti. FEMS Microbiology Letters. 159(1). 7–13. 8 indexed citations
19.
Hermesz, Edit, Ferenc Olasz, László Dorgai, & László Orosz. (1992). Stable incorporation of genetic material into the chromosome of Rhizobium meliloti 41: construction of an integrative vector system. Gene. 119(1). 9–15. 10 indexed citations
20.
Dallmann, Géza, et al.. (1991). The isolated N-terminal DNA binding domain of thec repressor of bacteriophage16-3 is functional in DNA binding in vivo and in vitro. Molecular and General Genetics MGG. 227(1). 106–112. 11 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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