Dagmar Barz

124 total papers · 2.7k total citations
79 papers, 2.1k citations indexed

About

Dagmar Barz is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Dagmar Barz has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 15 papers in Surgery and 15 papers in Molecular Biology. Recurrent topics in Dagmar Barz's work include Blood groups and transfusion (12 papers), Antifungal resistance and susceptibility (10 papers) and Fungal Infections and Studies (8 papers). Dagmar Barz is often cited by papers focused on Blood groups and transfusion (12 papers), Antifungal resistance and susceptibility (10 papers) and Fungal Infections and Studies (8 papers). Dagmar Barz collaborates with scholars based in Germany, United States and Italy. Dagmar Barz's co-authors include Christina Weinigel, Oliver Werz, Bernhard Hube, Anja Schaible, Katja Seider, Sascha Brunke, Carlo Pergola, Hansjörg Thude, Ilse D. Jacobsen and Karl Kuchler and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biochemical Journal.

In The Last Decade

Dagmar Barz

78 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Dagmar Barz 532 472 426 387 348 79 2.1k
Lingli Dong 712 1.3× 330 0.7× 488 1.1× 385 1.0× 154 0.4× 91 2.4k
Pei‐Lan He 690 1.3× 188 0.4× 311 0.7× 476 1.2× 172 0.5× 40 2.1k
Marian Gorecki 971 1.8× 305 0.6× 302 0.7× 240 0.6× 89 0.3× 63 2.2k
Kazutaka Oda 981 1.8× 393 0.8× 246 0.6× 239 0.6× 351 1.0× 78 2.2k
Banu Sancak 639 1.2× 553 1.2× 592 1.4× 213 0.6× 127 0.4× 139 2.6k
Masahiko Ito 753 1.4× 512 1.1× 791 1.9× 424 1.1× 120 0.3× 122 2.7k
Ling‐Jun Ho 743 1.4× 446 0.9× 188 0.4× 639 1.7× 282 0.8× 68 2.3k
Zhiqing Hu 1.2k 2.2× 181 0.4× 222 0.5× 578 1.5× 206 0.6× 102 3.3k
Vesna Eraković Haber 602 1.1× 346 0.7× 622 1.5× 399 1.0× 288 0.8× 73 2.5k
Isabelle Fabre 599 1.1× 197 0.4× 152 0.4× 155 0.4× 199 0.6× 76 2.7k

Countries citing papers authored by Dagmar Barz

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Barz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Barz

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Barz. A scholar is included among the top collaborators of Dagmar Barz 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 Dagmar Barz. Dagmar Barz 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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