Anita Hällgren

36 total papers · 775 total citations
28 papers, 570 citations indexed

About

Anita Hällgren is a scholar working on Infectious Diseases, Clinical Biochemistry and Molecular Medicine. According to data from OpenAlex, Anita Hällgren has authored 28 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 12 papers in Clinical Biochemistry and 9 papers in Molecular Medicine. Recurrent topics in Anita Hällgren's work include Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Antibiotic Resistance in Bacteria (9 papers). Anita Hällgren is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Antibiotic Resistance in Bacteria (9 papers). Anita Hällgren collaborates with scholars based in Sweden, Denmark and Czechia. Anita Hällgren's co-authors include Håkan Hanberger, Lennart E. Nilsson, Åse Östholm Balkhed, Maria Tärnberg, Maud Nilsson, Hans‐Jürg Monstein, Lennart Nilsson, Olof Nylander, Mats Fredrikson and Barbro Isaksson and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Anita Hällgren

27 papers receiving 549 citations

Author Peers

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

Author Last Decade Papers Cites
Anita Hällgren 240 222 177 153 109 28 570
M. Benbachir 236 1.0× 275 1.2× 229 1.3× 139 0.9× 108 1.0× 37 672
Sean B. Sullivan 246 1.0× 277 1.2× 164 0.9× 145 0.9× 183 1.7× 17 641
A. Vatopoulos 341 1.4× 209 0.9× 136 0.8× 150 1.0× 141 1.3× 31 643
Wei‐Chuan Hsieh 179 0.7× 263 1.2× 238 1.3× 100 0.7× 77 0.7× 21 595
Rafael Ríos 275 1.1× 273 1.2× 109 0.6× 155 1.0× 142 1.3× 37 590
Robert Tibbetts 218 0.9× 184 0.8× 189 1.1× 208 1.4× 51 0.5× 42 623
Andrea Lázár 192 0.8× 122 0.5× 257 1.5× 133 0.9× 99 0.9× 26 560
Canan Külah 217 0.9× 183 0.8× 174 1.0× 74 0.5× 111 1.0× 37 576
Trusha Nana 241 1.0× 194 0.9× 228 1.3× 102 0.7× 52 0.5× 33 587
Suzanne Elgohari 275 1.1× 144 0.6× 157 0.9× 140 0.9× 90 0.8× 16 664

Countries citing papers authored by Anita Hällgren

Since Specialization
Citations

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

Fields of papers citing papers by Anita Hällgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Hällgren

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