S Hæggman
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
-
- Antimicrobial Resistance in Staphylococcus 7
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Sylvain Brisse (2 shared papers)Lenie Dijkshoorn (1 shared paper)Vivian Fussing (1 shared paper)Peter Gerner‐Smidt (1 shared paper)Edward J. Feil (1 shared paper)Panayotis T. Tassios (1 shared paper)Alex van Belkum (1 shared paper)B Cookson (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (3 papers)Clinical Microbiology and Infection (3 papers)Eurosurveillance (2 papers)Acta Paediatrica (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- SwedenUnited StatesNetherlands
In The Last Decade
S Hæggman
16 papers receiving 1.1k citations
S Hæggman's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Medicine 328
- Endocrinology 243
- Clinical Biochemistry 260
- Infectious Diseases 425
- Applied Microbiology and Biotechnology 40
Countries citing papers authored by S Hæggman
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
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-authors
The 25 scholars most cited alongside S Hæggman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the validation and application of typing methods for use in bacterial epidemiology Hit paper breakdown → | 2007 | 649 |
| 2 | 2004 | 129 | |
| 3 | 1995 | 76 | |
| 4 | 2002 | 52 | |
| 5 | 1982 | 38 | |
| 6 | 1997 | 35 | |
| 7 | 2009 | 28 | |
| 8 | 1997 | 28 | |
| 9 | The humoral antibody response to Shigella dysenteriae type 1 infection, as determined by ELISA. | 1984 | 28 |
| 10 | 2003 | 27 | |
| 11 | 2006 | 26 | |
| 12 | 2004 | 25 | |
| 13 | 2007 | 19 | |
| 14 | 1998 | 18 | |
| 15 | 1992 | 15 | |
| 16 | 2009 | 6 |
About S Hæggman
S Hæggman is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Epidemiology and Endocrinology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Genomics and Phylogenetic Studies (3 papers), Pneumonia and Respiratory Infections (2 papers), Bacterial biofilms and quorum sensing (2 papers), Escherichia coli research studies (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Molecular Medicine (328 citations), Endocrinology (243 citations), Clinical Biochemistry (260 citations), Infectious Diseases (425 citations) and Applied Microbiology and Biotechnology (40 citations). S Hæggman has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Sylvain Brisse, Lenie Dijkshoorn, Vivian Fussing, Peter Gerner‐Smidt, Edward J. Feil, Panayotis T. Tassios, Alex van Belkum, B Cookson, Norman K. Fry and Marc Struelens. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Eurosurveillance, Acta Paediatrica and Journal of Clinical Microbiology.
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.