A.‐S. Duberg

428 citations
8 papers · 129 · h-index 7

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk

Papers in

    • Hepatitis C virus research 8
    • Liver Disease and Transplantation 2
    • Liver Disease Diagnosis and Treatment 6
    • Hepatitis B Virus Studies 2

A.‐S. Duberg

8 papers receiving 127 citations

Peers

A.‐S. Duberg
Comparison fields: 5 of 32
  • Hepatology 102
  • Epidemiology 116
  • Transplantation 4
  • Statistics and Probability 6
  • Hematology 7
Replace Tyng‐Yuan Jang with:
Tyng‐Yuan Jang Taiwan
Ann‐Sofi Duberg Sweden
Dalia Morales‐Arráez Spain
Santos del Campo Spain
Ritsuzo Kozuka Japan
Yasuyuki Aisaka Japan
Frederic Regenstein United States
Eléonora De Martin Italy
Edgar Brodkin United Kingdom
Filipe Calinas Portugal
A.‐S. Duberg relative to Tyng‐Yuan Jang Taiwan Tyng‐Yuan Jang's profile →
Citations per field
00.5×
Tyng‐Yuan Jang · 1×
Citations per year

Countries citing papers authored by A.‐S. Duberg

Since Specialization
Citations

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

Fields of papers citing papers by A.‐S. Duberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.‐S. Duberg. 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 A.‐S. Duberg. The network helps show where A.‐S. Duberg may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200846
2 199523
3 201020
4 201017
5 199710
6 20176
7 20166
8 20181

About A.‐S. Duberg

A.‐S. Duberg is a scholar working on Hepatology, Epidemiology, Genetics, Rheumatology and Statistics and Probability, having authored 8 papers that have together received 129 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (2 papers), Liver Disease and Transplantation (2 papers), Systemic Lupus Erythematosus Research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Hepatology (102 citations), Epidemiology (116 citations), Transplantation (4 citations), Statistics and Probability (6 citations) and Hematology (7 citations). A.‐S. Duberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Karl Ekdahl, Erik Bäck, Anders Blaxhult, Ragnhild Janzon, Anders Sönnerborg, Per Olcén, Rut Norda, Åke Svensson, Paul W. Dickman and Anna Törner. Their work appears in journals such as Journal of Hepatology, Journal of Viral Hepatitis, Eurosurveillance, Haemophilia and American Journal of Epidemiology.

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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