H. Wichmann-Schauer

55 total papers · 676 total citations
27 papers, 496 citations indexed

About

H. Wichmann-Schauer is a scholar working on Infectious Diseases, Food Science and Molecular Biology. According to data from OpenAlex, H. Wichmann-Schauer has authored 27 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 13 papers in Food Science and 12 papers in Molecular Biology. Recurrent topics in H. Wichmann-Schauer's work include Antimicrobial Resistance in Staphylococcus (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). H. Wichmann-Schauer is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Salmonella and Campylobacter epidemiology (7 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). H. Wichmann-Schauer collaborates with scholars based in Germany, Sweden and India. H. Wichmann-Schauer's co-authors include Lüppo Ellerbroek, Jan Peters, Günter Klein, Bernd‐Alois Tenhagen, Klaus Stark, Dirk Werber, Judith Koch, Biserka Becker, Herbert Hof and Rita Prager and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Dairy Science and International Journal of Food Microbiology.

In The Last Decade

H. Wichmann-Schauer

26 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
H. Wichmann-Schauer	256	191	167	158	47	27	496
C. B. Donnelly	214 0.8×	105 0.5×	111 0.7×	173 1.1×	41 0.9×	22	519
Marie‐Françoise Cochet	201 0.8×	126 0.7×	126 0.8×	299 1.9×	62 1.3×	22	538
S. Van Hoorebeke	265 1.0×	162 0.8×	115 0.7×	76 0.5×	23 0.5×	13	465
Simona Gazzola	226 0.9×	134 0.7×	97 0.6×	260 1.6×	49 1.0×	16	436
Ĺucja Ĺaniewska-Trokenheim	235 0.9×	183 1.0×	111 0.7×	245 1.6×	23 0.5×	35	502
Sabine Herbin	168 0.7×	118 0.6×	146 0.9×	367 2.3×	89 1.9×	12	539
Maria Del Pilar Martinez Viedma	229 0.9×	116 0.6×	100 0.6×	195 1.2×	34 0.7×	21	494
F Untermann	238 0.9×	155 0.8×	152 0.9×	113 0.7×	34 0.7×	34	479
Jarmila Schlegelová	222 0.9×	134 0.7×	125 0.7×	230 1.5×	31 0.7×	22	551
Alberto Bellio	259 1.0×	157 0.8×	207 1.2×	193 1.2×	15 0.3×	28	514

Countries citing papers authored by H. Wichmann-Schauer

Since Specialization

Citations

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

Fields of papers citing papers by H. Wichmann-Schauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Wichmann-Schauer. 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 H. Wichmann-Schauer. The network helps show where H. Wichmann-Schauer may publish in the future.

Co-authorship network of co-authors of H. Wichmann-Schauer

This figure shows the co-authorship network connecting the top 25 collaborators of H. Wichmann-Schauer. A scholar is included among the top collaborators of H. Wichmann-Schauer 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 H. Wichmann-Schauer. H. Wichmann-Schauer 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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