Rifat Hadžiselimović

576 total citations
38 papers, 373 citations indexed

About

Rifat Hadžiselimović is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Rifat Hadžiselimović has authored 38 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Molecular Biology and 5 papers in Archeology. Recurrent topics in Rifat Hadžiselimović's work include Forensic and Genetic Research (15 papers), RNA modifications and cancer (7 papers) and Forensic Anthropology and Bioarchaeology Studies (5 papers). Rifat Hadžiselimović is often cited by papers focused on Forensic and Genetic Research (15 papers), RNA modifications and cancer (7 papers) and Forensic Anthropology and Bioarchaeology Studies (5 papers). Rifat Hadžiselimović collaborates with scholars based in Bosnia and Herzegovina, Kosovo and Italy. Rifat Hadžiselimović's co-authors include Damir Marjanović, Dragan Primorac, Naris Pojskić, Katja Drobnič, Simona Fornarino, Ornella Semino, Antonio Torroni, A. Silvana Santachiara‐Benerecetti, Vincenza Battaglia and Kasım Bajroviç and has published in prestigious journals such as SHILAP Revista de lepidopterología, Archives of Biochemistry and Biophysics and Biochemical Pharmacology.

In The Last Decade

Rifat Hadžiselimović

30 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rifat Hadžiselimović Bosnia and Herzegovina 9 279 115 103 29 14 38 373
Marijana Peričić Croatia 15 514 1.8× 162 1.4× 130 1.3× 35 1.2× 6 0.4× 28 631
Xuebin Qi China 6 254 0.9× 82 0.7× 78 0.8× 20 0.7× 9 0.6× 9 291
Jiujin Xu China 10 282 1.0× 68 0.6× 100 1.0× 19 0.7× 28 2.0× 13 410
M. Carvalho Portugal 12 283 1.0× 96 0.8× 139 1.3× 10 0.3× 8 0.6× 52 379
Raheel Qamar Pakistan 7 351 1.3× 98 0.9× 136 1.3× 8 0.3× 14 1.0× 9 441
Yarin Hadid Israel 8 228 0.8× 67 0.6× 104 1.0× 7 0.2× 9 0.6× 11 333
Avinash Arvind Rasalkar India 6 216 0.8× 89 0.8× 143 1.4× 30 1.0× 12 0.9× 11 373
Ruofu Du China 5 385 1.4× 127 1.1× 89 0.9× 27 0.9× 7 0.5× 5 464
Pu Li China 5 258 0.9× 59 0.5× 86 0.8× 13 0.4× 18 1.3× 7 318
Alicia M. Cadenas United States 9 401 1.4× 127 1.1× 103 1.0× 20 0.7× 6 0.4× 9 455

Countries citing papers authored by Rifat Hadžiselimović

Since Specialization
Citations

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

Fields of papers citing papers by Rifat Hadžiselimović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rifat Hadžiselimović

This figure shows the co-authorship network connecting the top 25 collaborators of Rifat Hadžiselimović. A scholar is included among the top collaborators of Rifat Hadžiselimović 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 Rifat Hadžiselimović. Rifat Hadžiselimović 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.
Saha, Sarmistha, et al.. (2025). Polyploid giant cancer cells: Underlying mechanisms, signaling pathways, and therapeutic strategies. Critical Reviews in Oncology/Hematology. 213. 104802–104802. 2 indexed citations
2.
Chichiarelli, Silvia, et al.. (2024). Alternative Splicing: A Potential Therapeutic Target in Hematological Malignancies. SHILAP Revista de lepidopterología. 16(4). 682–697.
3.
Chichiarelli, Silvia, et al.. (2024). P53: A key player in diverse cellular processes including nuclear stress and ribosome biogenesis, highlighting potential therapeutic compounds. Biochemical Pharmacology. 226. 116332–116332. 8 indexed citations
4.
Chichiarelli, Silvia, et al.. (2024). Advances in molecular function of UPF1 in Cancer. Archives of Biochemistry and Biophysics. 756. 109989–109989. 1 indexed citations
5.
Chichiarelli, Silvia, et al.. (2023). An intricate rewiring of cancer metabolism via alternative splicing. Biochemical Pharmacology. 217. 115848–115848. 3 indexed citations
6.
Chichiarelli, Silvia, Margherita Eufemi, Fabio Altieri, et al.. (2022). Ribosome-Directed Therapies in Cancer. Biomedicines. 10(9). 2088–2088. 22 indexed citations
7.
8.
Hadžiselimović, Rifat, et al.. (2021). Analysis of gender differences on pyriform aperture of human skulls using geometric morphometric method. Folia Morphologica. 81(3). 707–714. 8 indexed citations
9.
Peterlin, Borut, et al.. (2021). Mucopolysaccharidosis III: Molecular basis and treatment. Pediatric Endocrinology Diabetes and Metabolism. 27(3). 201–208. 13 indexed citations
10.
Hadžiselimović, Rifat, et al.. (2020). Bioanthropological analysis of human occipital condyles using geometric morphometric method. Saudi Journal of Biological Sciences. 27(12). 3415–3420. 4 indexed citations
11.
Haverić, Sanin, et al.. (2016). Genotoxicity Evaluation of Dipotassium -Trioxohydroxytetrafluorotriborate, K2(B3O3F4OH), in Human Lymphocyte Cultures and Mice Reticulocytes. Brazilian Archives of Biology and Technology. 59(0). 8 indexed citations
12.
Pojskić, Naris, et al.. (2013). Polymorphic Alu insertions in human populations of Bosnia and Herzegovina. Annals of Human Biology. 40(2). 181–185. 5 indexed citations
13.
Pojskić, Lejla, et al.. (2013). Molecular – genetic variance of RH blood group system within human population of Bosnia and Herzegovina. Bosnian Journal of Basic Medical Sciences. 13(1). 10–10. 2 indexed citations
14.
Battaglia, Vincenza, Simona Fornarino, Nadia Al-Zahery, et al.. (2008). Y-chromosomal evidence of the cultural diffusion of agriculture in southeast Europe. European Journal of Human Genetics. 17(6). 820–830. 114 indexed citations
15.
Marjanović, Damir, Naris Pojskić, Jon Davoren, et al.. (2006). Population Data at Two Short Tandem Repeat Loci D2S1338 and D19S433 in the Sample of Multinational Bosnia and Herzegovina Residents. Journal of Forensic Sciences. 51(5). 1219–1220. 7 indexed citations
16.
Marjanović, Damir, et al.. (2005). DNA diversity in the studies of genetic distance among isolated human populations in bosnia. Human Evolution. 20(2-3). 157–166. 4 indexed citations
17.
Marjanović, Damir, Simona Fornarino, Dragan Primorac, et al.. (2005). The Peopling of Modern Bosnia‐Herzegovina: Y‐chromosome Haplogroups in the Three Main Ethnic Groups. Annals of Human Genetics. 69(6). 757–763. 65 indexed citations
18.
Marjanović, Damir, et al.. (2004). Comparative Study of Genetic Variation at 15 STR Loci in Three Isolated Populations of the Bosnian Mountain Area. Human Biology. 76(1). 15–31. 15 indexed citations
19.
Hadžiselimović, Rifat, et al.. (2000). Micropropagation of wild cherry (Prunus avium L.) in vitro.. 30(1). 35–42. 1 indexed citations
20.
Hadžiselimović, Rifat, et al.. (1989). [The heritability of vitiligo].. PubMed. 40(3). 141–5. 3 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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