Måns Ullberg

2.6k citations
64 papers · 2.2k · h-index 27

Impact in

Papers in

Måns Ullberg

64 papers receiving 2.1k citations

Peers

Måns Ullberg
Comparison fields: 5 of 102
  • Clinical Biochemistry 609
  • Microbiology 210
  • Molecular Medicine 136
  • Infectious Diseases 478
  • Immunology 543
Replace E. Magda Barbu with:
E. Magda Barbu United States
Cédric Badiou France
C. P. A. van Boven Netherlands
Silke Niemann Germany
Bret R. Sellman United States
Hwan Keun Kim United States
Rebecca T. Horvat United States
Prajna Lalitha India
Jan Liese Germany
Måns Ullberg relative to E. Magda Barbu United States E. Magda Barbu's profile →
Citations per field
00.5×3.6×
E. Magda Barbu · 1×
Citations per year

Countries citing papers authored by Måns Ullberg

Since Specialization
Citations

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

Fields of papers citing papers by Måns Ullberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Måns Ullberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Måns Ullberg Line = papers co-authored together Måns Ullberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013227
2 1981182
3 1982168
4 199087
5 199278
6
Decreased NK killing in patients with multiple sclerosis: an analysis on the level of the single effector cell in peripheral blood and cerebrospinal fluid in relation to the activity in the disease.
198277
7 201269
8 199966
9 198965
10 201164
11 201561
12 200554
13 199251
14 199647
15 200747
16 198146
17 198142
18 201241
19 199238
20 198337

About Måns Ullberg

Måns Ullberg is a scholar working on Clinical Biochemistry, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Immunology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (20 papers), Streptococcal Infections and Treatments (13 papers), Immune Cell Function and Interaction (11 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Protease and Inhibitor Mechanisms (9 papers), Peptidase Inhibition and Analysis (8 papers), Antifungal resistance and susceptibility (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). The work is most often cited by research in Clinical Biochemistry (609 citations), Microbiology (210 citations), Molecular Medicine (136 citations), Infectious Diseases (478 citations) and Immunology (543 citations). Måns Ullberg has collaborated with scholars based in Sweden, Finland and Saudi Arabia. Frequent co-authors include Mikael Jondal, Volkan Özenci, Osman Altun, Mohammed S. Almuhayawi, Göran Kronvall, G Kronvall, Thomas Eberhard, Pentti Kuusela, Hong Fang and Ulf Landegren. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Apmis and Mycoses.

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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