Iris F. Chaberny

136 total papers · 3.9k total citations
93 papers, 2.4k citations indexed

About

Iris F. Chaberny is a scholar working on Infectious Diseases, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Iris F. Chaberny has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Infectious Diseases, 19 papers in Surgery and 19 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Iris F. Chaberny's work include Antimicrobial Resistance in Staphylococcus (24 papers), Infection Control in Healthcare (20 papers) and Nosocomial Infections in ICU (19 papers). Iris F. Chaberny is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (24 papers), Infection Control in Healthcare (20 papers) and Nosocomial Infections in ICU (19 papers). Iris F. Chaberny collaborates with scholars based in Germany, United States and Switzerland. Iris F. Chaberny's co-authors include Petra Gastmeier, Karolin Graf, Ralf‐Peter Vonberg, Hans‐Günther Sonntag, Klaus Kühn, Lothar Erdinger, Manfred Stickler, Frank Schwab, D. Sohr and Axel Haverich and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemosphere.

In The Last Decade

Iris F. Chaberny

88 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iris F. Chaberny 860 493 441 305 281 93 2.4k
Seung‐Ji Kang 747 0.9× 355 0.7× 393 0.9× 135 0.4× 243 0.9× 118 2.6k
Subhash Chandra Parija 688 0.8× 319 0.6× 369 0.8× 120 0.4× 369 1.3× 128 2.2k
Piotr B. Heczko 660 0.8× 236 0.5× 596 1.4× 182 0.6× 191 0.7× 173 2.9k
Marc Michel 728 0.8× 394 0.8× 1.1k 2.5× 338 1.1× 655 2.3× 164 4.2k
Hans‐Günther Sonntag 458 0.5× 181 0.4× 357 0.8× 77 0.3× 211 0.8× 65 1.9k
Bernd Jansen 423 0.5× 294 0.6× 300 0.7× 114 0.4× 394 1.4× 79 3.2k
Brenda Ang 1.2k 1.4× 125 0.3× 863 2.0× 177 0.6× 308 1.1× 91 2.6k
Elisabeth Nagy 797 0.9× 130 0.3× 689 1.6× 852 2.8× 384 1.4× 84 2.3k
Michael Behnke 1.7k 1.9× 569 1.2× 1000 2.3× 614 2.0× 558 2.0× 150 4.0k
Kent Crossley 1.7k 2.0× 400 0.8× 1.4k 3.1× 637 2.1× 219 0.8× 69 4.0k

Countries citing papers authored by Iris F. Chaberny

Since Specialization
Citations

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

Fields of papers citing papers by Iris F. Chaberny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris F. Chaberny. 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 Iris F. Chaberny. The network helps show where Iris F. Chaberny may publish in the future.

Co-authorship network of co-authors of Iris F. Chaberny

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

All Works

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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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