Ulf Hammar

78 papers receiving 3.1k citations

Ulf Hammar's Hit Papers

Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD 2017 · 878 citations
8780+3+6Years since publication250500750

Peers

Ulf Hammar
Comparison fields: 5 of 96
  • Epidemiology 1.1k
  • Otorhinolaryngology 69
  • Public Health, Environmental and Occupational Health 349
  • Molecular Biology 290
  • General Dentistry 2
Replace Kylie S Carville with:
Kylie S Carville Australia
Marzia Duse Italy
Leszek K. Borysiewicz United Kingdom
Fabio Cardinale Italy
Hung Fu Tseng United States
Norbert Hermann Brockmeyer Germany
Julie A. Marsh Australia
John A. Stewart United States
Jeffrey A. Gold United States
Rahul Anand United States
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Citations per field
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Citations per year

Countries citing papers authored by Ulf Hammar

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Hammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulf Hammar, 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 Ulf Hammar Line = papers co-authored together Ulf Hammar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD
Hit paper breakdown →
2017878
2 2017253
3 2022148
4 2015107
5 201999
6 201885
7 202383
8 201463
9 201861
10 201756
11 201853
12 202353
13 201950
14 201544
15 201744
16 201843
17 202041
18 201639
19 201939
20 202139

About Ulf Hammar

Ulf Hammar is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Epidemiology, Genetics and Otorhinolaryngology, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Gut microbiota and health (8 papers), Colorectal Cancer Screening and Detection (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Inflammatory Bowel Disease (3 papers), Head and Neck Cancer Studies (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Epidemiology (1.1k citations), Otorhinolaryngology (69 citations), Public Health, Environmental and Occupational Health (349 citations), Molecular Biology (290 citations) and General Dentistry (2 citations). Ulf Hammar has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Rolf W. Hultcrantz, Stergios Kechagias, Per I Stal, Hannes Hagström, Mattias Ekstedt, Patrik Nasr, Anna Färnert, Tove Fall, Manijeh Vafa Homann and Matteo Bottai. Their work appears in journals such as European Journal of Public Health, PLoS ONE, Clinical Infectious Diseases, Nature Communications and The Journal of Infectious Diseases.

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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