S. Olling
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 25
- Urinary Tract Infections Management 15
-
- Escherichia coli research studies 13
- Co-authors
- B. Kaijser (14 shared papers)Peter Larsson (9 shared papers)U. Lindberg (7 shared papers)Lars Hanson (6 shared papers)Catharina Svanborg Edén (3 shared papers)Ulf Jodal (6 shared papers)Lars Hagberg (3 shared papers)K. Lincoln (5 shared papers)
- Journals
- Infection and Immunity (5 papers)The Journal of Infectious Diseases (4 papers)Apmis (2 papers)The Lancet (2 papers)Acta Paediatrica (2 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
S. Olling
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Endocrinology 823
- Molecular Medicine 292
- Urology 200
- Epidemiology 877
- Microbiology 148
Countries citing papers authored by S. Olling
This map shows the geographic impact of S. Olling'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. Olling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Olling more than expected).
Fields of papers citing papers by S. Olling
This network shows the impact of papers produced by S. Olling. 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. Olling. The network helps show where S. Olling may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Olling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 334 | |
| 2 | 1975 | 139 | |
| 3 | 1978 | 125 | |
| 4 | 1978 | 119 | |
| 5 | 1977 | 88 | |
| 6 | 1977 | 86 | |
| 7 | 1973 | 84 | |
| 8 | 1977 | 80 | |
| 9 | 1977 | 78 | |
| 10 | Immunohistological detection of fucosyl-GM1 ganglioside in human lung cancer and normal tissues with monoclonal antibodies. | 1989 | 71 |
| 11 | 1978 | 64 | |
| 12 | 1978 | 64 | |
| 13 | 1973 | 52 | |
| 14 | 1975 | 46 | |
| 15 | 1990 | 42 | |
| 16 | 1982 | 36 | |
| 17 | 1988 | 36 | |
| 18 | 1990 | 35 | |
| 19 | 2000 | 34 | |
| 20 | 1977 | 34 |
About S. Olling
S. Olling is a scholar working on Epidemiology, Endocrinology, Pediatrics, Perinatology and Child Health, Molecular Biology and Infectious Diseases, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Urinary Tract Infections Management (15 papers), Escherichia coli research studies (13 papers), Pediatric Urology and Nephrology Studies (12 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Glycosylation and Glycoproteins Research (5 papers), Gut microbiota and health (5 papers), Urinary Bladder and Prostate Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology (823 citations), Molecular Medicine (292 citations), Urology (200 citations), Epidemiology (877 citations) and Microbiology (148 citations). S. Olling has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include B. Kaijser, Peter Larsson, U. Lindberg, Lars Hanson, Catharina Svanborg Edén, Ulf Jodal, Lars Hagberg, K. Lincoln, Rolf Freter and I Engberg. Their work appears in journals such as Infection and Immunity, The Journal of Infectious Diseases, Apmis, The Lancet and Acta Paediatrica.
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.