Joan Klausen

24 total papers · 572 total citations
17 papers, 468 citations indexed

About

Joan Klausen is a scholar working on Microbiology, Ecology and Small Animals. According to data from OpenAlex, Joan Klausen has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Microbiology, 8 papers in Ecology and 6 papers in Small Animals. Recurrent topics in Joan Klausen's work include Microbial infections and disease research (10 papers), Bacteriophages and microbial interactions (8 papers) and Mycobacterium research and diagnosis (5 papers). Joan Klausen is often cited by papers focused on Microbial infections and disease research (10 papers), Bacteriophages and microbial interactions (8 papers) and Mycobacterium research and diagnosis (5 papers). Joan Klausen collaborates with scholars based in Denmark, Spain and United Kingdom. Joan Klausen's co-authors include Peter M. H. Heegaard, Matilde Piñeiro, Jens Peter Nielsen, Fermı́n Lampreave, María A. Álava, Nieves González‐Ramón, Peter Ahrens, Neil F. Inglis, Lars Ole Andresen and Vibeke Sørensen and has published in prestigious journals such as Journal of Colloid and Interface Science, Journal of Clinical Microbiology and Microbiology.

In The Last Decade

Joan Klausen

17 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Joan Klausen	168	164	156	112	106	17	468
Andrew Milner	192 1.1×	143 0.9×	201 1.3×	59 0.5×	74 0.7×	21	499
Dayle Johnston	67 0.4×	75 0.5×	151 1.0×	97 0.9×	112 1.1×	24	452
Krzysztof Kwit	123 0.7×	117 0.7×	94 0.6×	131 1.2×	159 1.5×	34	404
Andy Potter	77 0.5×	147 0.9×	34 0.2×	149 1.3×	105 1.0×	18	544
Mette Valheim	225 1.3×	129 0.8×	112 0.7×	49 0.4×	33 0.3×	26	547
E A Sugden	265 1.6×	141 0.9×	128 0.8×	79 0.7×	15 0.1×	29	490
Paolo Pozzi	61 0.4×	77 0.5×	85 0.5×	148 1.3×	134 1.3×	25	421
A. Collard	196 1.2×	159 1.0×	34 0.2×	60 0.5×	81 0.8×	20	421
Yanli Lv	118 0.7×	86 0.5×	84 0.5×	28 0.3×	116 1.1×	14	414
Nanna Skall Sørensen	52 0.3×	78 0.5×	86 0.6×	58 0.5×	91 0.9×	11	432

Countries citing papers authored by Joan Klausen

Since Specialization

Citations

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

Fields of papers citing papers by Joan Klausen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Klausen

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