S Hæggman

2.2k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

S Hæggman is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, S Hæggman has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Epidemiology and 6 papers in Molecular Medicine. Recurrent topics in S Hæggman's work include Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial Identification and Susceptibility Testing (5 papers). S Hæggman is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial Identification and Susceptibility Testing (5 papers). S Hæggman collaborates with scholars based in Sweden, United Kingdom and United States. S Hæggman's co-authors include Sylvain Brisse, B Cookson, Edward J. Feil, Vivian Fussing, Lenie Dijkshoorn, Peter Gerner‐Smidt, Marc Struelens, Panayotis T. Tassios, Alex van Belkum and Norman K. Fry and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Clinical Microbiology and Infection.

In The Last Decade

S Hæggman

16 papers receiving 1.1k citations

Hit Papers

Guidelines for the validation and application of typing m... 2007 2026 2013 2019 2007 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Guidelines for the validation and application of typing methods for use in bacterial epidemiology
    2007 611 citations Alex van Belkum, Panayotis T. Tassios et al. Clinical Microbiology and Infection profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S Hæggman Sweden 15 446 348 298 295 266 16 1.1k
Robert D. Arbeit United States 13 541 1.2× 224 0.6× 307 1.0× 308 1.0× 212 0.8× 17 1.1k
J. Breuil France 16 259 0.6× 339 1.0× 323 1.1× 150 0.5× 173 0.7× 30 939
Maria Finn Sweden 11 447 1.0× 272 0.8× 239 0.8× 306 1.0× 108 0.4× 14 910
J. Torren‐Edo Sweden 9 405 0.9× 459 1.3× 246 0.8× 286 1.0× 165 0.6× 9 1.2k
N. Maes Belgium 11 423 0.9× 250 0.7× 291 1.0× 308 1.0× 234 0.9× 15 831
C. Godard Belgium 22 708 1.6× 177 0.5× 300 1.0× 511 1.7× 131 0.5× 55 1.4k
Hazel M. Aucken United Kingdom 18 282 0.6× 701 2.0× 192 0.6× 442 1.5× 454 1.7× 30 1.3k
Christiane Werckenthin Germany 22 751 1.7× 448 1.3× 253 0.8× 488 1.7× 131 0.5× 57 1.5k
Jesús Agüero Spain 22 355 0.8× 188 0.5× 111 0.4× 281 1.0× 315 1.2× 50 1.3k
Beniam Ghebremedhin Germany 18 649 1.5× 355 1.0× 366 1.2× 631 2.1× 136 0.5× 48 1.5k

Countries citing papers authored by S Hæggman

Since Specialization
Citations

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

Fields of papers citing papers by S Hæggman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Hæggman

This figure shows the co-authorship network connecting the top 25 collaborators of S Hæggman. A scholar is included among the top collaborators of S 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 S Hæggman. S Hæggman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Örtqvist, Anne K., Håkan Ringberg, Lisa Larsson, et al.. (2009). Validity of routine surveillance data: a case study on Swedish notifications of methicillin-resistant Staphylococcus aureus. Eurosurveillance. 14(30). 19281–19281. 6 indexed citations
3.
Belkum, Alex van, Panayotis T. Tassios, Lenie Dijkshoorn, et al.. (2007). Guidelines for the validation and application of typing methods for use in bacterial epidemiology. Clinical Microbiology and Infection. 13. 1–46. 611 indexed citations breakdown →
4.
Tegmark-Wisell, Karin, S Hæggman, Lena Gezelius, et al.. (2007). Identification of Klebsiella pneumoniae carbapenemase in Sweden. Weekly releases (1997–2007). 12(51). E071220.3–E071220.3. 19 indexed citations
5.
Österlund, Anders, et al.. (2006). Staphylococcus aureus resistant to fusidic acid among Swedish children: A follow-up study. Scandinavian Journal of Infectious Diseases. 38(5). 332–334. 24 indexed citations
6.
Hæggman, S, Sven Löfdahl, Armand Paauw, J. Verhoef, & Sylvain Brisse. (2004). Diversity and Evolution of the Class A Chromosomal Beta-Lactamase Gene inKlebsiella pneumoniae. Antimicrobial Agents and Chemotherapy. 48(7). 2400–2408. 124 indexed citations
7.
Miklaševičs, Edvīns, S Hæggman, Arta Balode, et al.. (2004). Report on the first PVL-positive community acquired MRSA strain in Latvia. Eurosurveillance. 9(11). 5–6. 25 indexed citations
8.
Torell, Erik, et al.. (2003). Clonality among ampicillin-resistant Enterococcus faecium isolates in Sweden and relationship with ciprofloxacin resistance. Clinical Microbiology and Infection. 9(10). 1011–1019. 25 indexed citations
9.
Österlund, Anders, et al.. (2002). Clonal Spread Among Swedish Children of a Staphylococcus aureus Strain Resistant to Fusidic Acid. Scandinavian Journal of Infectious Diseases. 34(10). 729–734. 50 indexed citations
10.
Finnström, Orvar, B. Isaksson, S Hæggman, & L. G. Burman. (1998). Control of an outbreak of a highly beta‐lactam‐resistant Enterobacter cloacae strain in a neonatal special care unit. Acta Paediatrica. 87(10). 1070–1074. 18 indexed citations
11.
Fryklund, B., S Hæggman, & Lars Burman. (1997). Transmission of urinary bacterial strains between patients with indwelling catheters—nursing in the same room and in separate rooms compared. Journal of Hospital Infection. 36(2). 147–153. 26 indexed citations
12.
Hæggman, S, Sven Löfdahl, & L. G. Burman. (1997). An allelic variant of the chromosomal gene for class A beta-lactamase K2, specific for Klebsiella pneumoniae, is the ancestor of SHV-1. Antimicrobial Agents and Chemotherapy. 41(12). 2705–2709. 32 indexed citations
13.
Kühn, Ingolf, Lars Burman, S Hæggman, Kjell Tullus, & Barbara E. Murray. (1995). Biochemical fingerprinting compared with ribotyping and pulsed-field gel electrophoresis of DNA for epidemiological typing of enterococci. Journal of Clinical Microbiology. 33(11). 2812–2817. 71 indexed citations
14.
Burman, L. G., et al.. (1992). Epidemiology of plasmid-mediated beta-lactamases in enterobacteria Swedish neonatal wards and relation to antimicrobial therapy. Antimicrobial Agents and Chemotherapy. 36(5). 989–992. 15 indexed citations
15.
Hæggman, S, et al.. (1984). The humoral antibody response to Shigella dysenteriae type 1 infection, as determined by ELISA.. PubMed. 62(4). 597–606. 28 indexed citations
16.
Lindberg, Alf A., et al.. (1982). Enzyme immunoassay of the antibody response to Brucella andYersinia enterocolitica09 infections in humans. Journal of Hygiene. 88(2). 295–307. 35 indexed citations

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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