Tomaž Zupanc

1.3k total citations
63 papers, 970 citations indexed

About

Tomaž Zupanc is a scholar working on Molecular Biology, Genetics and Archeology. According to data from OpenAlex, Tomaž Zupanc has authored 63 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 39 papers in Genetics and 26 papers in Archeology. Recurrent topics in Tomaž Zupanc's work include Forensic and Genetic Research (30 papers), Forensic Anthropology and Bioarchaeology Studies (26 papers) and Molecular Biology Techniques and Applications (24 papers). Tomaž Zupanc is often cited by papers focused on Forensic and Genetic Research (30 papers), Forensic Anthropology and Bioarchaeology Studies (26 papers) and Molecular Biology Techniques and Applications (24 papers). Tomaž Zupanc collaborates with scholars based in Slovenia, Italy and United States. Tomaž Zupanc's co-authors include Irena Zupanič Pajnič, Alja Videtič Paska, Jože Balažič, Dušan Štajer, Nina Zidar, Radovan Komel, Peter Pregelj, Katarina Odar, Damjan Glavač and Eva Podovšovnik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Neuroscience Letters.

In The Last Decade

Tomaž Zupanc

61 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomaž Zupanc Slovenia 18 377 344 248 186 161 63 970
Anne Montgomery United States 9 162 0.4× 282 0.8× 14 0.1× 382 2.1× 65 0.4× 10 657
David Gangitano United States 16 180 0.5× 302 0.9× 38 0.2× 90 0.5× 87 0.5× 47 675
Hu Zhao China 20 261 0.7× 341 1.0× 7 0.0× 181 1.0× 50 0.3× 74 972
Akiyoshi Nishimura Japan 21 49 0.1× 318 0.9× 10 0.0× 405 2.2× 34 0.2× 59 971
Csaba Barta Hungary 20 164 0.4× 243 0.7× 4 0.0× 174 0.9× 55 0.3× 39 923
A Villeneuve Canada 16 224 0.6× 136 0.4× 6 0.0× 120 0.6× 41 0.3× 72 1.1k
Elizabeth C. Cottrell United Kingdom 18 111 0.3× 257 0.7× 4 0.0× 64 0.3× 36 0.2× 40 1.6k
Rong Yang China 17 94 0.2× 198 0.6× 14 0.1× 79 0.4× 16 0.1× 38 753
Lawrence A. Rodriguez United States 13 362 1.0× 443 1.3× 2 0.0× 296 1.6× 54 0.3× 16 1.2k
Gabriel Bedoya Colombia 11 260 0.7× 183 0.5× 21 0.1× 156 0.8× 33 0.2× 28 823

Countries citing papers authored by Tomaž Zupanc

Since Specialization
Citations

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

Fields of papers citing papers by Tomaž Zupanc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomaž Zupanc

This figure shows the co-authorship network connecting the top 25 collaborators of Tomaž Zupanc. A scholar is included among the top collaborators of Tomaž Zupanc 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 Tomaž Zupanc. Tomaž Zupanc 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.
Zupanc, Tomaž, et al.. (2024). Epigenetics and suicide: investigating altered H3K14ac unveiled differential expression in ADORA2A , B4GALT2  and MMP14. Epigenomics. 16(10). 701–714. 1 indexed citations
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Fattorini, Paolo, et al.. (2023). SNP analysis of challenging bone DNA samples using the HID-Ion AmpliSeq™ Identity Panel: facts and artefacts. International Journal of Legal Medicine. 137(4). 981–993. 2 indexed citations
5.
Zupanc, Tomaž, et al.. (2023). Extracellular vesicles from cerebrospinal fluid revealed changes in miR‐19a‐3p and miR‐4516 expression in Slovene male suicides. Genes Brain & Behavior. 22(6). e12868–e12868. 5 indexed citations
6.
Zupanc, Tomaž, et al.. (2023). Comparison of the optimal and suboptimal quantity of mitotype libraries using next-generation sequencing. International Journal of Legal Medicine. 138(2). 395–400. 1 indexed citations
7.
Zupanc, Tomaž, et al.. (2023). Measure quantity of mitochondrial DNA in aged bones or calculate it from nuclear DNA quantitative PCR results?. International Journal of Legal Medicine. 137(6). 1653–1659. 4 indexed citations
8.
Podovšovnik, Eva, et al.. (2022). Comparison of DNA preservation between ribs and vertebrae. International Journal of Legal Medicine. 136(5). 1247–1253. 6 indexed citations
9.
Paska, Alja Videtič, et al.. (2022). Suicide and Changes in Expression of Neuronal miRNA Predicted by an Algorithm Search through miRNA Databases. Genes. 13(4). 562–562. 6 indexed citations
10.
Podovšovnik, Eva, et al.. (2021). Intra-bone nuclear DNA variability in Second World War metatarsal and metacarpal bones. International Journal of Legal Medicine. 135(4). 1245–1256. 21 indexed citations
11.
Podovšovnik, Eva, et al.. (2021). Intra-bone nuclear DNA variability and STR typing success in Second World War first ribs. International Journal of Legal Medicine. 135(6). 2199–2208. 9 indexed citations
12.
Zupanc, Tomaž, et al.. (2021). BDNF methylation and mRNA expression in brain and blood of completed suicides in Slovenia. World Journal of Psychiatry. 11(12). 1301–1313. 8 indexed citations
13.
Podovšovnik, Eva, et al.. (2020). Nails as a primary sample type for molecular genetic identification of highly decomposed human remains. International Journal of Legal Medicine. 134(5). 1629–1638. 9 indexed citations
14.
Zupanc, Tomaž, et al.. (2019). GENOME-WIDE DNA METHYLATION PATTERNS IN SUICIDE VICTIMS: IDENTIFICATION OF NEW CANDIDATE GENES. Psychiatria Danubina. 31(4). 392–396. 3 indexed citations
15.
Alghafri, Rashed, Irena Zupanič Pajnič, Tomaž Zupanc, Jože Balažič, & Pankaj Shrivastava. (2017). Rapidly mutating Y-STR analyses of compromised forensic samples. International Journal of Legal Medicine. 132(2). 397–403. 10 indexed citations
16.
Zupanc, Tomaž, et al.. (2015). Investigating the associations between polymorphisms in the NTRK2 and NGFR genes and completed suicide in the Slovenian sample. Psychiatric Genetics. 25(6). 241–248. 7 indexed citations
17.
Zidar, Nina, et al.. (2008). Cyclooxygenase in normal human tissues – is COX‐1 really a constitutive isoform, and COX‐2 an inducible isoform?. Journal of Cellular and Molecular Medicine. 13(9b). 3753–3763. 201 indexed citations
18.
Zidar, Nina, et al.. (2007). Expression of cyclooxygenase-1 and cyclooxygenase-2 in the normal human heart and in myocardial infarction. Cardiovascular Pathology. 16(5). 300–304. 42 indexed citations
19.
Pregelj, Peter, Tomaž Zupanc, Martina Tomori, Jože Balažič, & Alan Apter. (2006). Family history of suicide and psychosocial characteristics of suicide victims in central Slovenia. Psychiatria Danubina. 18. 71–71. 1 indexed citations
20.
Videtič, Alja, Irena Zupanič Pajnič, Tomaž Zupanc, et al.. (2006). Serotonin transporter gene promoter (5-HTTLPR) and intron 2 (VNTR) polymorphisms: a study on Slovenian population of suicide victims. Psychiatric Genetics. 16(5). 187–191. 25 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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