Zsolt Pádár

837 total citations
48 papers, 555 citations indexed

About

Zsolt Pádár is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Zsolt Pádár has authored 48 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 23 papers in Molecular Biology and 9 papers in Ecology. Recurrent topics in Zsolt Pádár's work include Forensic and Genetic Research (29 papers), Identification and Quantification in Food (11 papers) and Molecular Biology Techniques and Applications (10 papers). Zsolt Pádár is often cited by papers focused on Forensic and Genetic Research (29 papers), Identification and Quantification in Food (11 papers) and Molecular Biology Techniques and Applications (10 papers). Zsolt Pádár collaborates with scholars based in Hungary, United States and Austria. Zsolt Pádár's co-authors include Balázs Egyed, S. Füredi, Sándor Füredi, S. Fekete, Walther Parson, Anita Kloss‐Brandstätter, Thomas J. Parsons, Jodi A. Irwin, Bettina Zimmermann and Nina Duftner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Autophagy.

In The Last Decade

Zsolt Pádár

43 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsolt Pádár Hungary 16 403 211 76 56 54 48 555
Ilaria Boschi Italy 17 449 1.1× 162 0.8× 104 1.4× 15 0.3× 23 0.4× 34 692
Niraj Rai India 10 179 0.4× 80 0.4× 55 0.7× 19 0.3× 17 0.3× 48 446
Terry Melton United States 13 536 1.3× 438 2.1× 108 1.4× 12 0.2× 114 2.1× 21 763
Deborah Polanskey United States 8 482 1.2× 498 2.4× 124 1.6× 12 0.2× 83 1.5× 11 660
Ivane Nasidze Germany 11 580 1.4× 432 2.0× 112 1.5× 15 0.3× 29 0.5× 16 911
Fouad Zakharia United States 5 378 0.9× 307 1.5× 17 0.2× 11 0.2× 17 0.3× 6 623
MM Holland United States 8 511 1.3× 389 1.8× 270 3.6× 18 0.3× 83 1.5× 8 652
José R. Sandoval Peru 11 230 0.6× 155 0.7× 44 0.6× 14 0.3× 22 0.4× 27 481
Neskuts Izagirre Spain 15 473 1.2× 169 0.8× 272 3.6× 9 0.2× 23 0.4× 37 771
Davide Marnetto Italy 11 301 0.7× 157 0.7× 47 0.6× 13 0.2× 19 0.4× 21 481

Countries citing papers authored by Zsolt Pádár

Since Specialization
Citations

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

Fields of papers citing papers by Zsolt Pádár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsolt Pádár

This figure shows the co-authorship network connecting the top 25 collaborators of Zsolt Pádár. A scholar is included among the top collaborators of Zsolt Pádár 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 Zsolt Pádár. Zsolt Pádár 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.
Pádár, Zsolt, et al.. (2022). A vadvilági bűnözés sajátos kriminalisztikai kihívásai Magyarországon. SHILAP Revista de lepidopterología. 70(9). 1727–1748. 1 indexed citations
2.
Vincze, B., et al.. (2019). Sex determination using circulating cell-free fetal DNA in small volume of maternal plasma in elephants. Scientific Reports. 9(1). 15254–15254. 3 indexed citations
3.
Zalán, Andrea, et al.. (2014). New clustering methods for population comparison on paternal lineages. Molecular Genetics and Genomics. 290(2). 767–784. 4 indexed citations
4.
Pamjav, Horolma, et al.. (2012). Brief communication: New Y‐chromosome binary markers improve phylogenetic resolution within haplogroup R1a1. American Journal of Physical Anthropology. 149(4). 611–615. 17 indexed citations
5.
Egyed, Balázs, et al.. (2010). Population genetic study in Hungarian canine populations using forensically informative STR loci. Forensic Science International Genetics. 5(1). e31–e36. 20 indexed citations
6.
Pádár, Zsolt, et al.. (2009). Characterization of the WILMS-TF microsatellite marker in Hungarian dog populations. Acta Biologica Hungarica. 60(3). 329–332. 2 indexed citations
7.
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
8.
Kloss‐Brandstätter, Anita, Balázs Egyed, Bettina Zimmermann, et al.. (2007). Mitochondrial DNA control region variation in Ashkenazi Jews from Hungary. Forensic Science International Genetics. 2(1). e4–e6. 6 indexed citations
9.
Kloss‐Brandstätter, Anita, Balázs Egyed, Bettina Zimmermann, et al.. (2007). Migration Rates and Genetic Structure of two Hungarian Ethnic Groups in Transylvania, Romania. Annals of Human Genetics. 71(6). 791–803. 37 indexed citations
10.
Egyed, Balázs, et al.. (2005). Analysis of the population heterogeneity in Hungary using fifteen forensically informative STR markers. Forensic Science International. 158(2-3). 244–249. 18 indexed citations
11.
Egyed, Balázs, Sándor Füredi, & Zsolt Pádár. (2005). Population genetic study in two Transylvanian populations using forensically informative autosomal and Y-chromosomal STR markers. Forensic Science International. 164(2-3). 257–265. 16 indexed citations
12.
Pádár, Zsolt, et al.. (2002). Canine STR analyses in forensic practice. International Journal of Legal Medicine. 116(5). 286–288. 36 indexed citations
13.
Pádár, Zsolt, et al.. (2001). Canine microsatellite polymorphisms as the resolution of an illegal animal death case in a Hungarian Zoological Gardens. International Journal of Legal Medicine. 115(2). 79–81. 28 indexed citations
14.
Egyed, Balázs, et al.. (2000). Analysis of eight STR loci in two Hungarian populations. Forensic Science International. 113(1-3). 25–27. 18 indexed citations
15.
Egyed, Balázs, et al.. (2000). Analysis of eight STR loci in two Hungarian populations. International Journal of Legal Medicine. 113(5). 272–275. 19 indexed citations
16.
Füredi, S., et al.. (1999). Y-STR haplotyping in two Hungarian populations. International Journal of Legal Medicine. 113(1). 38–42. 49 indexed citations
17.
Füredi, S., et al.. (1998). Population genetic data on four STR loci in a Hungarian Romany population. International Journal of Legal Medicine. 112(1). 72–74. 5 indexed citations
18.
Füredi, S., et al.. (1997). Semi-automatic DNA profiling in a Hungarian Romany population using the STR loci HumVWFA31, HumTH01, HumTPOX, and HumCSF1PO. International Journal of Legal Medicine. 110(4). 184–187. 11 indexed citations
19.
Füredi, S., et al.. (1996). Hungarian population data on the loci HLA-DQ?, LDLR, GYPA, HBGG, D7S8 and GC. International Journal of Legal Medicine. 108(5). 280–282. 6 indexed citations
20.
Füredi, Sándor, et al.. (1995). Hungarian population data for the STR systems TH01 and VWA. International Journal of Legal Medicine. 108(1). 48–49. 15 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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