Ulrike Vavra

29 total papers · 1.0k total citations
26 papers, 791 citations indexed

About

Ulrike Vavra is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, Ulrike Vavra has authored 26 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Biotechnology and 11 papers in Immunology. Recurrent topics in Ulrike Vavra's work include Glycosylation and Glycoproteins Research (15 papers), Transgenic Plants and Applications (15 papers) and Toxin Mechanisms and Immunotoxins (7 papers). Ulrike Vavra is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Transgenic Plants and Applications (15 papers) and Toxin Mechanisms and Immunotoxins (7 papers). Ulrike Vavra collaborates with scholars based in Austria, United Kingdom and Sweden. Ulrike Vavra's co-authors include Richard Strasser, Jennifer Schoberer, Friedrich Altmann, Lukas Mach, Herta Steinkellner, Christiane Veit, Eva Liebminger, Johannes Stadlmann, Silvia Hüttner and Yun‐Ji Shin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Plant Cell.

In The Last Decade

Ulrike Vavra

25 papers receiving 789 citations

Author Peers

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

Author						Papers	Cites
Ulrike Vavra	571	358	299	213	158	26	791
Carole Plasson	577 1.0×	328 0.9×	270 0.9×	117 0.5×	82 0.5×	22	765
Anne‐Catherine Fitchette‐Lainé	604 1.1×	426 1.2×	229 0.8×	209 1.0×	92 0.6×	10	770
Claude Saint‐Jore‐Dupas	639 1.1×	383 1.1×	270 0.9×	128 0.6×	118 0.7×	10	769
Daniel Bartfeld	567 1.0×	375 1.0×	67 0.2×	125 0.6×	63 0.4×	16	826
Wouter Vervecken	685 1.2×	227 0.6×	110 0.4×	153 0.7×	74 0.5×	19	886
Trent R. Gemmill	629 1.1×	84 0.2×	161 0.5×	94 0.4×	138 0.9×	13	757
K Asano	338 0.6×	127 0.4×	145 0.5×	144 0.7×	61 0.4×	37	675
C. L. Villemez	420 0.7×	206 0.6×	287 1.0×	188 0.9×	24 0.2×	36	801
Rosemary Condron	613 1.1×	134 0.4×	158 0.5×	96 0.5×	70 0.4×	20	811
Thomas Dalik	467 0.8×	113 0.3×	106 0.4×	97 0.5×	80 0.5×	12	664

Countries citing papers authored by Ulrike Vavra

Since Specialization

Citations

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

Fields of papers citing papers by Ulrike Vavra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Vavra

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