Robert Kuhelj

595 total citations
9 papers, 518 citations indexed

About

Robert Kuhelj is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Robert Kuhelj has authored 9 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Robert Kuhelj's work include Protease and Inhibitor Mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers) and Clusterin in disease pathology (2 papers). Robert Kuhelj is often cited by papers focused on Protease and Inhibitor Mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers) and Clusterin in disease pathology (2 papers). Robert Kuhelj collaborates with scholars based in Slovenia, Germany and Belgium. Robert Kuhelj's co-authors include Vito Türk, Marko Dolinar, Marjetka Podobnik, Jože Pungerčar, Jure Stojan, Boris Turk, Janko Kos, Hans Jørgen Nielsen, Nina Cimerman and Bernd Werle and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and FEBS Letters.

In The Last Decade

Robert Kuhelj

8 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Kuhelj Slovenia 7 260 245 161 61 60 9 518
Mara Fortunato United Kingdom 10 313 1.2× 181 0.7× 213 1.3× 44 0.7× 91 1.5× 11 555
P. Elaine Butler United Kingdom 6 292 1.1× 132 0.5× 122 0.8× 89 1.5× 62 1.0× 10 564
Martin Fugère Canada 11 327 1.3× 130 0.5× 156 1.0× 127 2.1× 91 1.5× 14 651
Ina Baumann Germany 6 490 1.9× 245 1.0× 176 1.1× 62 1.0× 172 2.9× 8 843
Tadeja Bevec Slovenia 7 196 0.8× 118 0.5× 53 0.3× 49 0.8× 107 1.8× 8 362
Tulene S. Kendrick Australia 7 395 1.5× 130 0.5× 71 0.4× 34 0.6× 60 1.0× 11 590
Klavs Dolmer United States 17 320 1.2× 157 0.6× 52 0.3× 109 1.8× 177 3.0× 28 638
Victoria Marsh United Kingdom 11 635 2.4× 87 0.4× 259 1.6× 77 1.3× 35 0.6× 14 850
Gary Thomas United States 9 290 1.1× 76 0.3× 83 0.5× 137 2.2× 59 1.0× 14 593
Gerold Schwarz Germany 9 429 1.6× 89 0.4× 156 1.0× 35 0.6× 282 4.7× 13 746

Countries citing papers authored by Robert Kuhelj

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kuhelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Kuhelj

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Kuhelj. A scholar is included among the top collaborators of Robert Kuhelj 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 Robert Kuhelj. Robert Kuhelj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Vermersch, P., Juha-Pekka Erälinna, Rebecca Nicholas, et al.. (2019). Efficacy and safety of ocrelizumab in patients with relapsing-remitting multiple sclerosis with a suboptimal response to previous disease-modifying therapies (1‑year interim results). Journal of the Neurological Sciences. 405. 310–310.
2.
Kuhelj, Robert, Christopher J. Rizzo, Chong‐Hwan Chang, et al.. (2001). Inhibition of Human Endogenous Retrovirus-K10 Protease in Cell-free and Cell-based Assays. Journal of Biological Chemistry. 276(20). 16674–16682. 14 indexed citations
3.
Cimerman, Nina, Robert Kuhelj, Bernd Werle, et al.. (2001). Cathepsin B/Cystatin C Complex Levels in Sera from Patients with Lung and Colorectal Cancer. Biological Chemistry. 382(5). 805–10. 44 indexed citations
4.
Krašovec, Marta, Nina Cimerman, Robert Kuhelj, et al.. (2001). Cathepsin B/Cystatin C Complex Levels in Sera from Patients with Lung and Colorectal Cancer. Biological Chemistry. 382(5). 805–810. 29 indexed citations
5.
Stojan, Jure, et al.. (1999). Autocatalytic processing of recombinant human procathepsin B is a bimolecular process. FEBS Letters. 459(3). 358–362. 98 indexed citations
6.
Podobnik, Marjetka, Robert Kuhelj, & Vito Türk. (1997). Crystal structure of the wild-type human procathepsin B at 2.5 Å resolution reveals the native active site of a papain-like cysteine protease zymogen. Journal of Molecular Biology. 271(5). 774–788. 95 indexed citations
8.
Kuhelj, Robert, Marko Dolinar, Jože Pungerčar, & Vito Türk. (1995). The Preparation of Catalytically Active Human Cathepsin B from Its Precursor Expressed in Escherichia coli in the Form of Inclusion Bodies. European Journal of Biochemistry. 229(2). 533–539. 108 indexed citations
9.
Kuhelj, Robert, Marko Dolinar, Jože Pungerčar, & Vito Türk. (1995). The Preparation of Catalytically Active Human Cathepsin B from Its Precursor Expressed in Escherichia coli in the Form of Inclusion Bodies. European Journal of Biochemistry. 229(2). 533–539. 5 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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