Andrea Peterfi

486 total citations
5 papers, 418 citations indexed

About

Andrea Peterfi is a scholar working on Immunology, Pharmacology and Hematology. According to data from OpenAlex, Andrea Peterfi has authored 5 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 1 paper in Pharmacology and 1 paper in Hematology. Recurrent topics in Andrea Peterfi's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Inflammatory mediators and NSAID effects (1 paper). Andrea Peterfi is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Inflammatory mediators and NSAID effects (1 paper). Andrea Peterfi collaborates with scholars based in Germany and United States. Andrea Peterfi's co-authors include Helmut R. Salih, Dorothea Nagel, Alexander Steinle, P Stieber, Stefan Holdenrieder, Hans‐Georg Rammensee, Anita Bringmann, Frank Mayer, Susan Kupka and Peter Brossart and has published in prestigious journals such as Blood, The FASEB Journal and International Journal of Cancer.

In The Last Decade

Andrea Peterfi

5 papers receiving 411 citations

Peers

Andrea Peterfi
Andrea Peterfi
Citations per year, relative to Andrea Peterfi Andrea Peterfi (= 1×) peers Mareike Wittenbrink

Countries citing papers authored by Andrea Peterfi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Peterfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Peterfi

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

All Works

5 of 5 papers shown
1.
Holdenrieder, Stefan, Peter Eichhorn, Ulrich Beuers, et al.. (2007). Soluble NKG2D ligands in hepatic autoimmune diseases and in benign diseases involved in marker metabolism.. PubMed. 27(4A). 2041–5. 28 indexed citations
2.
Baltz, Katrin M., Matthias Krusch, Anita Bringmann, et al.. (2007). Cancer immunoediting by GITR (glucocorticoid‐induced TNF‐related protein) ligand in humans: NK cell/tumor cell interactions. The FASEB Journal. 21(10). 2442–2454. 86 indexed citations
3.
Holdenrieder, Stefan, P Stieber, Andrea Peterfi, et al.. (2006). Soluble MICB in malignant diseases: analysis of diagnostic significance and correlation with soluble MICA. Cancer Immunology Immunotherapy. 55(12). 1584–1589. 106 indexed citations
5.
Holdenrieder, Stefan, P Stieber, Andrea Peterfi, et al.. (2005). Soluble MICA in malignant diseases. International Journal of Cancer. 118(3). 684–687. 197 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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