Måns Ullberg

2.6k citations
60 papers · 2.0k · h-index 26

Impact in

Papers in

Måns Ullberg

60 papers receiving 1.9k citations

Peers

Måns Ullberg
Comparison fields: 5 of 103
  • Clinical Biochemistry 612
  • Microbiology 205
  • Molecular Medicine 143
  • Infectious Diseases 493
  • Applied Microbiology and Biotechnology 49
Replace E. Magda Barbu with:
E. Magda Barbu United States
Neelam Dhiman United States
Bo Nilson Sweden
Josep M. Sierra Spain
Prajna Lalitha India
Sarah W. Satola United States
Cédric Badiou France
Rebecca T. Horvat United States
C. P. A. van Boven Netherlands
Måns Ullberg relative to E. Magda Barbu United States E. Magda Barbu's profile →
Citations per field
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013212
2 1981169
3 1982150
4 199085
5 199275
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.
198272
7 201263
8 199963
9 198963
10 201560
11 201153
12 199249
13 200549
14 199645
15 200742
16 198140
17 201238
18 198336
19 198134
20 201433

About Måns Ullberg

Måns Ullberg is a scholar working on Epidemiology, Clinical Biochemistry, Infectious Diseases, Public Health, Environmental and Occupational Health and Oncology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (21 papers), Streptococcal Infections and Treatments (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Immune Cell Function and Interaction (9 papers), Antifungal resistance and susceptibility (8 papers), Peptidase Inhibition and Analysis (8 papers), Infective Endocarditis Diagnosis and Management (8 papers) and Protease and Inhibitor Mechanisms (7 papers). The work is most often cited by research in Clinical Biochemistry (612 citations), Microbiology (205 citations), Molecular Medicine (143 citations), Infectious Diseases (493 citations) and Applied Microbiology and Biotechnology (49 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, G Kronvall, Göran 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, Infection and Immunity and Apmis.

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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