Dijana Šagi

1.6k total citations · 1 hit paper
12 papers, 1.2k citations indexed

About

Dijana Šagi is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Dijana Šagi has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Immunology. Recurrent topics in Dijana Šagi's work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Dijana Šagi is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Dijana Šagi collaborates with scholars based in Germany, United States and Croatia. Dijana Šagi's co-authors include Joachim Klose, Maik Wacker, Jie Shen, James Palacino, Matthew S. Goldberg, Stefan Krauß, Jasna Peter‐Katalinić, Harald S. Conradt, Manfred Nimtz and Thorsten Marquardt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neurochemistry.

In The Last Decade

Dijana Šagi

12 papers receiving 1.2k citations

Hit Papers

Mitochondrial Dysfunction and Oxidative Damage in parkin-... 2004 2026 2011 2018 2004 250 500 750

Peers

Dijana Šagi
Daniel Ysselstein United States
Ji-Hoon Cho United States
Maxime W.C. Rousseaux United States
Hyun Jin Cho South Korea
George K. E. Umanah United States
Susan Fromholt United States
Agne Kazlauskaite United Kingdom
Daniel Ysselstein United States
Dijana Šagi
Citations per year, relative to Dijana Šagi Dijana Šagi (= 1×) peers Daniel Ysselstein

Countries citing papers authored by Dijana Šagi

Since Specialization
Citations

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

Fields of papers citing papers by Dijana Šagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dijana Šagi

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

All Works

12 of 12 papers shown
1.
Nebrich, Grit, Marion Herrmann, Dijana Šagi, Joachim Klose, & Patrick Giavalisco. (2007). High MS‐compatibility of silver nitrate‐stained protein spots from 2‐DE gels using ZipPlates and AnchorChips for successful protein identification. Electrophoresis. 28(10). 1607–1614. 29 indexed citations
2.
Zabel, Claus, Dijana Šagi, Angela M. Kaindl, et al.. (2006). Comparative Proteomics in Neurodegenerative and Non-neurodegenerative Diseases Suggest Nodal Point Proteins in Regulatory Networking. Journal of Proteome Research. 5(8). 1948–1958. 47 indexed citations
3.
Zabel, Claus, Grit Nebrich, Dijana Šagi, et al.. (2005). Estimation of the mtDNA mutation rate in aging mice by proteome analysis and mathematical modeling. Experimental Gerontology. 41(1). 11–24. 25 indexed citations
5.
Palacino, James, Dijana Šagi, Matthew S. Goldberg, et al.. (2004). Mitochondrial Dysfunction and Oxidative Damage in parkin-deficient Mice. Journal of Biological Chemistry. 279(18). 18614–18622. 787 indexed citations breakdown →
6.
Müthing, Johannes, Harald S. Conradt, Dijana Šagi, et al.. (2003). Effects of buffering conditions and culture pH on production rates and glycosylation of clinical phase I anti‐melanoma mouse IgG3 monoclonal antibody R24. Biotechnology and Bioengineering. 83(3). 321–334. 77 indexed citations
7.
Šagi, Dijana & Claus Zabel. (2003). Proteomics in neurodegenerative diseases. Journal of Neurochemistry. 85(s2). 19–19. 3 indexed citations
8.
Šagi, Dijana, Jasna Peter‐Katalinić, Harald S. Conradt, & Manfred Nimtz. (2002). Sequencing of tri- and tetraantennary N-glycans containing sialic acid by negative mode ESI QTOF tandem MS. Journal of the American Society for Mass Spectrometry. 13(9). 1138–1148. 69 indexed citations
9.
Kranz, Christian, Jonas Denecke, Mark A. Lehrman, et al.. (2001). A mutation in the human MPDU1 gene causes congenital disorder of glycosylation type If (CDG-If). Journal of Clinical Investigation. 108(11). 1613–1619. 104 indexed citations
10.
Conradt, Harald S., Manfred Nimtz, Dijana Šagi, et al.. (2001). Production and Molecular Characterization of Clinical Phase I Anti-Melanoma Mouse IgG3 Monoclonal Antibody R24. Biotechnology Progress. 17(5). 809–821. 11 indexed citations
11.
Kranz, Christian, Jonas Denecke, Mark A. Lehrman, et al.. (2001). A mutation in the human MPDU1 gene causes congenital disorder of glycosylation type If (CDG-If). Journal of Clinical Investigation. 108(11). 1613–1619. 7 indexed citations
12.
Strupat, Kerstin, Dijana Šagi, Jasna Peter‐Katalinić, Heiko Bönisch, & Günter Schäfer. (2000). Oligomerization and substrate binding studies of the adenylate kinase from Sulfolobus acidocaldarius by matrix-assisted laser desorption/ionization mass spectrometry. The Analyst. 125(4). 563–567. 22 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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