Sara Hæggman

19 total papers · 969 total citations
11 papers, 248 citations indexed

About

Sara Hæggman is a scholar working on Infectious Diseases, Clinical Biochemistry and Molecular Medicine. According to data from OpenAlex, Sara Hæggman has authored 11 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Clinical Biochemistry and 3 papers in Molecular Medicine. Recurrent topics in Sara Hæggman's work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antibiotic Resistance in Bacteria (3 papers). Sara Hæggman is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antibiotic Resistance in Bacteria (3 papers). Sara Hæggman collaborates with scholars based in Sweden, United States and Denmark. Sara Hæggman's co-authors include B Olsson-Liljequist, Lena Gezelius, Leif Larsson, Håkan Ringberg, Åke Örtqvist, Karl Ekdahl, Alma Brolund, Karin Tegmark Wisell, Christian G. Giske and Petra Edquist and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Emerging infectious diseases.

In The Last Decade

Sara Hæggman

11 papers receiving 232 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Hæggman 132 92 89 50 49 11 248
Ratna Rao 122 0.9× 77 0.8× 79 0.9× 61 1.2× 43 0.9× 16 261
Ruth Lekalakala 141 1.1× 109 1.2× 84 0.9× 75 1.5× 82 1.7× 21 318
N. A. C. Potz 113 0.9× 112 1.2× 70 0.8× 41 0.8× 76 1.6× 7 271
Marjan Rashidan 121 0.9× 79 0.9× 61 0.7× 54 1.1× 49 1.0× 18 275
M.J. Ellington 110 0.8× 76 0.8× 102 1.1× 70 1.4× 72 1.5× 8 240
Cecilia Kyany’a 85 0.6× 126 1.4× 62 0.7× 91 1.8× 47 1.0× 17 262
L. Power 78 0.6× 80 0.9× 53 0.6× 41 0.8× 45 0.9× 22 268
Cindy Wing‐Sze Tse 98 0.7× 142 1.5× 87 1.0× 67 1.3× 65 1.3× 19 257
Adesola Olalekan 134 1.0× 79 0.9× 63 0.7× 79 1.6× 41 0.8× 12 261
Nestor Mojica 124 0.9× 94 1.0× 103 1.2× 46 0.9× 51 1.0× 7 295

Countries citing papers authored by Sara Hæggman

Since Specialization
Citations

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

Fields of papers citing papers by Sara Hæggman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Hæggman

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