Susanna Burckhardt

801 total citations
8 papers, 662 citations indexed

About

Susanna Burckhardt is a scholar working on Hematology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Susanna Burckhardt has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Genetics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Susanna Burckhardt's work include Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (5 papers) and Erythropoietin and Anemia Treatment (3 papers). Susanna Burckhardt is often cited by papers focused on Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (5 papers) and Erythropoietin and Anemia Treatment (3 papers). Susanna Burckhardt collaborates with scholars based in Switzerland, United Kingdom and India. Susanna Burckhardt's co-authors include Peter Geisser, Taija Koskenkorva, Willem H. Koppenol, Günter Weiß, Maria Wilhelm, Felix Funk, Katrin Schwarz, Urs Dippon, Peter G. Weidler and John B. Porter and has published in prestigious journals such as Blood, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Susanna Burckhardt

8 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanna Burckhardt Switzerland 6 397 236 129 88 59 8 662
Soichiro Tajima Japan 15 209 0.5× 142 0.6× 107 0.8× 118 1.3× 136 2.3× 27 688
Peter Geisser United States 16 676 1.7× 463 2.0× 144 1.1× 41 0.5× 81 1.4× 30 902
Margarita Angerosa Argentina 19 316 0.8× 196 0.8× 85 0.7× 137 1.6× 147 2.5× 42 840
Martijn F. Hoes Netherlands 15 242 0.6× 92 0.4× 141 1.1× 190 2.2× 60 1.0× 23 817
Som Dev United States 12 314 0.8× 179 0.8× 365 2.8× 243 2.8× 120 2.0× 20 904
Annita Kolnagou Cyprus 23 627 1.6× 577 2.4× 327 2.5× 170 1.9× 100 1.7× 30 1.2k
Henk G. van Eijk Netherlands 8 204 0.5× 132 0.6× 114 0.9× 97 1.1× 27 0.5× 12 426
Xuyan He China 12 83 0.2× 71 0.3× 247 1.9× 166 1.9× 149 2.5× 15 809
Nagla T. El-Melegy Egypt 8 60 0.2× 76 0.3× 50 0.4× 77 0.9× 36 0.6× 12 384
Zouhair K. Attieh Lebanon 11 440 1.1× 198 0.8× 464 3.6× 184 2.1× 12 0.2× 17 964

Countries citing papers authored by Susanna Burckhardt

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Burckhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Burckhardt

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

All Works

8 of 8 papers shown
1.
Garbowski, Maciej, Sukhvinder S. Bansal, John B. Porter, et al.. (2020). Intravenous iron preparations transiently generate non-transferrin-bound iron from two proposed pathways. Haematologica. 106(11). 2885–2896. 30 indexed citations
2.
Garbowski, Maciej, Sukhvinder S. Bansal, John B. Porter, Susanna Burckhardt, & Robert C. Hider. (2019). NTBI Is Transiently Generated from Two Compartments during a Single Dose of Intravenous Iron - a Randomized Controlled Clinical Study. Blood. 134(Supplement_1). 2234–2234. 4 indexed citations
3.
Koskenkorva, Taija, et al.. (2016). Assessment of Dextran Antigenicity of Intravenous Iron Preparations with Enzyme-Linked Immunosorbent Assay (ELISA). International Journal of Molecular Sciences. 17(7). 1185–1185. 17 indexed citations
4.
Rentsch, Daniel, Urs Dippon, Andreas Kappler, et al.. (2015). Physico-chemical properties of the new generation IV iron preparations ferumoxytol, iron isomaltoside 1000 and ferric carboxymaltose. BioMetals. 28(4). 615–635. 70 indexed citations
5.
Koskenkorva, Taija, Günter Weiß, Willem H. Koppenol, & Susanna Burckhardt. (2013). The complex interplay of iron metabolism, reactive oxygen species, and reactive nitrogen species: Insights into the potential of various iron therapies to induce oxidative and nitrosative stress. Free Radical Biology and Medicine. 65. 1174–1194. 343 indexed citations
6.
Schwarz, Katrin, et al.. (2012). Reply to the letter to the editor by Johannes Ring and Rudi Valenta on the article "Assessment of dextran antigenicity of intravenous iron products by an immunodiffusion assay". 3 indexed citations
7.
Geisser, Peter & Susanna Burckhardt. (2011). The Pharmacokinetics and Pharmacodynamics of Iron Preparations. Pharmaceutics. 3(1). 12–33. 174 indexed citations
8.
Wilhelm, Maria, et al.. (2011). Assessment of dextran antigenicity of intravenous iron products by an immunodiffusion assay. 21 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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2026