S Hæggman
Impact in
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 6
-
- Antimicrobial Resistance in Staphylococcus 8
- Co-authors
- Sylvain Brisse (2 shared papers)Alex van Belkum (1 shared paper)Vivian Fussing (1 shared paper)Peter Gerner‐Smidt (1 shared paper)Panayotis T. Tassios (1 shared paper)Marc Jean Struelens (1 shared paper)Norman K. Fry (1 shared paper)B. D. Cookson (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (3 papers)Clinical Microbiology and Infection (3 papers)Journal of Clinical Microbiology (2 papers)Scandinavian Journal of Infectious Diseases (2 papers)Eurosurveillance (2 papers)
- Partner nations
- SwedenNetherlandsUnited Kingdom
In The Last Decade
S Hæggman
17 papers receiving 1.7k citations
S Hæggman's Hit Papers
Peers
Comparison fields: 5 of 88
- Clinical Biochemistry 550
- Molecular Medicine 367
- Endocrinology 271
- Infectious Diseases 922
- Applied Microbiology and Biotechnology 41
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 | 661 |
| 2 | 2003 | 574 | |
| 3 | 2004 | 136 | |
| 4 | 1995 | 74 | |
| 5 | 2002 | 49 | |
| 6 | 1982 | 40 | |
| 7 | 1997 | 34 | |
| 8 | 1997 | 29 | |
| 9 | The humoral antibody response to Shigella dysenteriae type 1 infection, as determined by ELISA. | 1984 | 28 |
| 10 | 2003 | 28 | |
| 11 | 2009 | 28 | |
| 12 | 2004 | 26 | |
| 13 | 2006 | 25 | |
| 14 | 2007 | 22 | |
| 15 | 1998 | 18 | |
| 16 | 1992 | 15 | |
| 17 | 2009 | 6 |
About S Hæggman
S Hæggman is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Clinical Biochemistry and Epidemiology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Genomics and Phylogenetic Studies (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Escherichia coli research studies (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Clinical Biochemistry (550 citations), Molecular Medicine (367 citations), Endocrinology (271 citations), Infectious Diseases (922 citations) and Applied Microbiology and Biotechnology (41 citations). S Hæggman has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Sylvain Brisse, Alex van Belkum, Vivian Fussing, Peter Gerner‐Smidt, Panayotis T. Tassios, Marc Jean Struelens, Norman K. Fry, B. D. Cookson, Lenie Dijkshoorn and Edward J. Feil. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Journal of Clinical Microbiology, Scandinavian Journal of Infectious Diseases and Eurosurveillance.
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.