Günther Weindl

99 total papers · 12.9k total citations
74 papers, 3.3k citations indexed

About

Günther Weindl is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Günther Weindl has authored 74 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 22 papers in Molecular Biology and 19 papers in Microbiology. Recurrent topics in Günther Weindl's work include Immune Response and Inflammation (28 papers), Antimicrobial Peptides and Activities (18 papers) and Antifungal resistance and susceptibility (10 papers). Günther Weindl is often cited by papers focused on Immune Response and Inflammation (28 papers), Antimicrobial Peptides and Activities (18 papers) and Antifungal resistance and susceptibility (10 papers). Günther Weindl collaborates with scholars based in Germany, Spain and United States. Günther Weindl's co-authors include Anja Pfalzgraff, Martin Schaller, Hans Christian Körting, Klaus Brandenburg, Monika Schäfer‐Korting, Alexander Roeder, Bernhard Hube, Julian R. Naglik, S. Mukherjee and Vandana Patravale and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Immunity.

In The Last Decade

Günther Weindl

70 papers receiving 3.2k citations

Hit Papers

Antimicrobial Peptides an... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Günther Weindl 992 864 612 610 608 74 3.3k
Anna L. Cogen 1.2k 1.2× 835 1.0× 505 0.8× 1.3k 2.1× 471 0.8× 25 3.4k
Oriana Simonetti 693 0.7× 556 0.6× 335 0.5× 568 0.9× 270 0.4× 150 2.4k
Josef G. Meingassner 823 0.8× 912 1.1× 525 0.9× 1.1k 1.8× 229 0.4× 77 3.6k
Ulf Meyer‐Hoffert 939 0.9× 970 1.1× 329 0.5× 758 1.2× 146 0.2× 52 3.1k
Yuping Lai 1.9k 1.9× 1.8k 2.1× 416 0.7× 1.5k 2.4× 644 1.1× 57 5.3k
Ling‐juan Zhang 1.2k 1.3× 954 1.1× 468 0.8× 794 1.3× 96 0.2× 70 3.8k
Shruti Naik 1.7k 1.7× 2.1k 2.4× 422 0.7× 1.3k 2.2× 422 0.7× 52 5.1k
Maria Antonietta Tufano 775 0.8× 575 0.7× 438 0.7× 257 0.4× 215 0.4× 120 2.9k
Robert A. Dorschner 1.5k 1.5× 1.7k 2.0× 472 0.8× 1.4k 2.3× 345 0.6× 28 5.1k
Regine Gläser 1.4k 1.4× 1.4k 1.7× 381 0.6× 1.4k 2.2× 118 0.2× 95 4.3k

Countries citing papers authored by Günther Weindl

Since Specialization
Citations

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

Fields of papers citing papers by Günther Weindl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günther Weindl

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