Radovan Komel

4.6k total citations
149 papers, 3.1k citations indexed

About

Radovan Komel is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Radovan Komel has authored 149 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 19 papers in Oncology and 16 papers in Pharmacology. Recurrent topics in Radovan Komel's work include Steroid Chemistry and Biochemistry (22 papers), Fungal Biology and Applications (12 papers) and Pharmacogenetics and Drug Metabolism (9 papers). Radovan Komel is often cited by papers focused on Steroid Chemistry and Biochemistry (22 papers), Fungal Biology and Applications (12 papers) and Pharmacogenetics and Drug Metabolism (9 papers). Radovan Komel collaborates with scholars based in Slovenia, United Kingdom and Bosnia and Herzegovina. Radovan Komel's co-authors include Špela Peternel, Damjana Rozman, Ivana Jovčevska, Nina Kočevar Britovšek, Petra Hudler, Janez Preželj, Janja Marc, Nada Kraševec, Jure Stojan and Jože Balažič and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Radovan Komel

146 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radovan Komel Slovenia 30 1.8k 450 305 270 250 149 3.1k
M.L. Dagli Brazil 30 1.8k 1.0× 377 0.8× 244 0.8× 123 0.5× 379 1.5× 225 3.7k
Jong‐Seok Lim South Korea 43 2.6k 1.4× 338 0.8× 934 3.1× 240 0.9× 289 1.2× 164 4.9k
Sham S. Kakar United States 42 2.6k 1.5× 545 1.2× 657 2.2× 150 0.6× 112 0.4× 114 5.0k
Ewa Sikora Poland 44 2.7k 1.5× 206 0.5× 575 1.9× 227 0.8× 165 0.7× 131 5.3k
Kwang Youl Lee South Korea 29 2.3k 1.3× 315 0.7× 432 1.4× 190 0.7× 269 1.1× 101 3.5k
Tian Tian China 24 1.7k 0.9× 376 0.8× 453 1.5× 114 0.4× 207 0.8× 82 3.1k
John W. Phillips United States 30 2.1k 1.2× 405 0.9× 354 1.2× 239 0.9× 232 0.9× 81 3.3k
Xin Liu China 33 2.1k 1.2× 178 0.4× 427 1.4× 373 1.4× 176 0.7× 178 3.9k
Zee‐Yong Park South Korea 35 2.5k 1.4× 244 0.5× 324 1.1× 212 0.8× 445 1.8× 115 4.3k
Hiroko Abe Japan 32 1.5k 0.8× 118 0.3× 331 1.1× 110 0.4× 219 0.9× 161 3.2k

Countries citing papers authored by Radovan Komel

Since Specialization
Citations

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

Fields of papers citing papers by Radovan Komel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radovan Komel

This figure shows the co-authorship network connecting the top 25 collaborators of Radovan Komel. A scholar is included among the top collaborators of Radovan Komel 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 Radovan Komel. Radovan Komel 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.
Zottel, Alja, Metka Novak, Neja Šamec, et al.. (2023). Anti-Vimentin Nanobody Decreases Glioblastoma Cell Invasion In Vitro and In Vivo. Cancers. 15(3). 573–573. 8 indexed citations
2.
Jones, M., Tadeja Režen, Mèlika Ben Ahmed, et al.. (2022). Inflammatory landscape in Xeroderma pigmentosum patients with cutaneous melanoma. Scientific Reports. 12(1). 13854–13854. 1 indexed citations
3.
4.
Solár, Peter, et al.. (2017). Erythropoietin and Its Angiogenic Activity. International Journal of Molecular Sciences. 18(7). 1519–1519. 85 indexed citations
5.
Serša, Gregor, Hans Törmä, E. Birgitte Lane, et al.. (2017). Keratin gene mutations influence the keratinocyte response to DNA damage and cytokine induced apoptosis. Archives of Dermatological Research. 309(7). 587–593. 3 indexed citations
6.
7.
Mashele, Samson S., Lidija Kovačič, Jure Stojan, et al.. (2014). Cytochrome P450 Monooxygenase CYP53 Family in Fungi: Comparative Structural and Evolutionary Analysis and Its Role as a Common Alternative Anti-Fungal Drug Target. PLoS ONE. 9(9). e107209–e107209. 55 indexed citations
8.
Strmecki, Lana, Petra Hudler, Majda Benedik‐Dolničar, & Radovan Komel. (2013). De novo mutation in DMD gene in a patient with combined hemophilia A and Duchenne muscular dystrophy. International Journal of Hematology. 99(2). 184–187. 3 indexed citations
9.
Peternel, Špela & Radovan Komel. (2010). Isolation of biologically active nanomaterial (inclusion bodies) from bacterial cells. Microbial Cell Factories. 9(1). 66–66. 73 indexed citations
10.
Videtič, Alja, Tomaž Zupanc, Peter Pregelj, et al.. (2009). Suicide, stress and serotonin receptor 1A promoter polymorphism -1019C>G in Slovenian suicide victims. European Archives of Psychiatry and Clinical Neuroscience. 259(4). 234–238. 27 indexed citations
11.
Videtič, Alja, Irena Zupanič Pajnič, Tomaž Zupanc, et al.. (2006). Association study of seven polymorphisms in four serotonin receptor genes on suicide victims. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(6). 669–672. 19 indexed citations
12.
Bračko, Matej, et al.. (2004). Are there geographical differences in the frequency of SYT-SSX1 and SYT-SSX2 chimeric transcripts in synovial sarcoma?. Cancer Detection and Prevention. 28(4). 294–301. 6 indexed citations
13.
Kraševec, Nada, et al.. (2003). In vivo and in vitro Cleavage of Glucoamylase-TNFα Fusion Protein Secreted from Aspergillus niger. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Komel, Radovan, et al.. (2000). Interaction trap experiment with CDC6. Pflügers Archiv - European Journal of Physiology. 439(S1). r094–r096. 3 indexed citations
15.
Marc, Janja, Janez Preželj, Radovan Komel, & A. Kocijančič. (2000). Association of vitamin D receptor gene polymorphism with bone mineral density in Slovenian postmenopausal women. Gynecological Endocrinology. 14(1). 60–64. 22 indexed citations
16.
Liović, Mirjana, et al.. (2000). K5 D328E: A Novel Missense Mutation in the Linker 12 Domain of Keratin 5 Associated with Epidermolysis bullosa simplex (Weber-Cockayne). Human Heredity. 50(4). 234–236. 5 indexed citations
17.
Strmecki, Lana, Majda Benedik‐Dolničar, Katja Vouk, & Radovan Komel. (1999). Screen of 55 Slovenian haemophilia A patients: Identification of 2 novel mutations (S-1R and IVS23+1G?A) and discussion of mutation spectrum. Human Mutation. 13(5). 413–413. 5 indexed citations
18.
19.
Gasparini, Paolo, Giuseppe Novelli, Bruno Dallapiccola, et al.. (1990). Mutation analysis in cystic fibrosis (II). New England Journal of Medicine. 323(1). 62–63. 17 indexed citations
20.
Komel, Radovan, et al.. (1979). [Steroid-transforming enzymes from microorganisms. XI. Reversibility of the dehydrogenation reaction of the steroid-1-dehydrogenase from Nocardia opaca].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19(10). 727–30. 10 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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