Jörg Kobarg

3.5k total citations
102 papers, 2.4k citations indexed

About

Jörg Kobarg is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Jörg Kobarg has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 30 papers in Cell Biology and 15 papers in Genetics. Recurrent topics in Jörg Kobarg's work include Microtubule and mitosis dynamics (21 papers), Ubiquitin and proteasome pathways (14 papers) and RNA modifications and cancer (12 papers). Jörg Kobarg is often cited by papers focused on Microtubule and mitosis dynamics (21 papers), Ubiquitin and proteasome pathways (14 papers) and RNA modifications and cancer (12 papers). Jörg Kobarg collaborates with scholars based in Brazil, United States and Germany. Jörg Kobarg's co-authors include Mateus Borba Cardoso, Kaliandra de Almeida Gonçalves, Luciane F. de Oliveira, Talita Diniz Melo‐Hanchuk, Dario Oliveira Passos, Gustavo Costa Bressan, Alexandre J.C. Quaresma, Flávia C. Nery, Marcos Rodrigo Alborghetti and Gabriela Vaz Meirelles and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jörg Kobarg

100 papers receiving 2.4k citations

Peers

Jörg Kobarg
Jörg Kobarg
Citations per year, relative to Jörg Kobarg Jörg Kobarg (= 1×) peers Khatereh Motamedchaboki

Countries citing papers authored by Jörg Kobarg

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Kobarg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Kobarg

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Kobarg. A scholar is included among the top collaborators of Jörg Kobarg 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 Jörg Kobarg. Jörg Kobarg 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.
Arguello, Tania, Sandra R. Bacman, Roger F. Castilho, et al.. (2024). NEK10 kinase ablation affects mitochondrial morphology, function and protein phosphorylation status. Proteome Science. 22(1). 8–8. 1 indexed citations
2.
Kobarg, Jörg, Martin G. Banwell, Paulo R. R. Costa, et al.. (2022). The Isoflavanoid (+)‐PTC Regulates Cell‐Cycle Progression and Mitotic Spindle Assembly in a Prostate Cancer Cell Line. Chemistry & Biodiversity. 19(5). e202200102–e202200102. 2 indexed citations
3.
Sian, Terry C.C. Lim Kam, Xiuquan Ma, Anderly C. Chüeh, et al.. (2022). Identification of biological pathways and processes regulated by NEK5 in breast epithelial cells via an integrated proteomic approach. Cell Communication and Signaling. 20(1). 197–197. 7 indexed citations
4.
Melo‐Hanchuk, Talita Diniz, et al.. (2021). NEK5 interacts with LonP1 and its kinase activity is essential for the regulation of mitochondrial functions and mtDNA maintenance. FEBS Open Bio. 11(3). 546–563. 17 indexed citations
5.
Slepicka, Priscila Ferreira, Talita Diniz Melo‐Hanchuk, Tanes Lima, et al.. (2020). NEK10 interactome and depletion reveal new roles in mitochondria. Proteome Science. 18(1). 4–4. 20 indexed citations
6.
Melo‐Hanchuk, Talita Diniz, Priscila Ferreira Slepicka, Gabriela Vaz Meirelles, et al.. (2017). NEK1 kinase domain structure and its dynamic protein interactome after exposure to Cisplatin. Scientific Reports. 7(1). 5445–5445. 31 indexed citations
7.
Melo‐Hanchuk, Talita Diniz, et al.. (2015). Nek5 interacts with mitochondrial proteins and interferes negatively in mitochondrial mediated cell death and respiration. Cellular Signalling. 27(6). 1168–1177. 26 indexed citations
8.
Carazzolle, Marcelo Falsarella, Lucas Miguel de Carvalho, Ramón Vidal, et al.. (2014). IIS – Integrated Interactome System: A Web-Based Platform for the Annotation, Analysis and Visualization of Protein-Metabolite-Gene-Drug Interactions by Integrating a Variety of Data Sources and Tools. PLoS ONE. 9(6). e100385–e100385. 35 indexed citations
9.
Gonçalves, Kaliandra de Almeida, Gustavo Costa Bressan, Ângela Saito, et al.. (2011). Evidence for the association of the human regulatory protein Ki-1/57 with the translational machinery. FEBS Letters. 585(16). 2556–2560. 13 indexed citations
10.
Smetana, Juliana Helena Costa, et al.. (2011). Identification and Characterization of an Alternatively Spliced Isoform of the Human Protein Phosphatase 2Aα Catalytic Subunit. Journal of Biological Chemistry. 287(7). 4853–4862. 8 indexed citations
11.
Alborghetti, Marcos Rodrigo, et al.. (2011). FEZ2 Has Acquired Additional Protein Interaction Partners Relative to FEZ1: Functional and Evolutionary Implications. PLoS ONE. 6(3). e17426–e17426. 13 indexed citations
12.
Trindade, Daniel Maragno, et al.. (2010). Human stanniocalcin-1 interacts with nuclear and cytoplasmic proteins and acts as a SUMO E3 ligase. Molecular BioSystems. 7(1). 180–193. 8 indexed citations
13.
Teixeira, Felipe R., Sami Yokoo, Carlos A. Gartner, et al.. (2010). Identification of FBXO25‐interacting proteins using an integrated proteomics approach. PROTEOMICS. 10(15). 2746–2757. 7 indexed citations
14.
Alborghetti, Marcos Rodrigo, et al.. (2006). FEZ1 Dimerization and Interaction with Transcription Regulatory Proteins Involves Its Coiled-coil Region. Journal of Biological Chemistry. 281(15). 9869–9881. 40 indexed citations
15.
Kobarg, Jörg, et al.. (2006). CGI-55 Interacts With Nuclear Proteins and Co-Localizes to p80-Coilin Positive-Coiled Bodies in the Nucleus. Cell Biochemistry and Biophysics. 44(3). 463–474. 27 indexed citations
16.
Gonçalves, Kaliandra de Almeida, et al.. (2005). Interaction of the hepatitis B virus protein HBx with the human transcription regulatory protein p120E4F in vitro. Virus Research. 115(1). 31–42. 12 indexed citations
17.
Gonçalves, Kaliandra de Almeida, et al.. (2004). The cysteine residues of the hepatitis B virus onco-protein HBx are not required for its interaction with RNA or with human p53. Virus Research. 108(1-2). 121–131. 15 indexed citations
18.
Moraes, Karen C. M., Wen‐Hwa Lee, & Jörg Kobarg. (2002). Analysis of the Structural Determinants for RNA Binding of the Human Protein AUF1/hnRNP D. Biological Chemistry. 383(5). 831–837. 4 indexed citations
19.
Kobarg, Jörg, et al.. (1997). Analysis of the tyrosine phosphorylation and calcium fluxing of human CD6 isoforms with different cytoplasmatic domains. European Journal of Immunology. 27(11). 2971–2980. 25 indexed citations
20.
Bowen, Michael A., Jürgen Bajorath, Maurizia DʼEgidio, et al.. (1997). Characterization of mouse ALCAM (CD166): the CD6‐binding domain is conserved in different homologs and mediates cross‐species binding. European Journal of Immunology. 27(6). 1469–1478. 74 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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