Knut Reidar Wangen

635 citations
32 papers · 310 indexed · h-index 10

Knut Reidar Wangen

30 papers receiving 300 citations

Peers

Knut Reidar Wangen
Comparison fields: 5 of 81
  • Hepatology 135
  • Health 63
  • Epidemiology 163
  • Modeling and Simulation 15
  • Infectious Diseases 35
Replace Karlla Antonieta Amorim Caetano with:
Karlla Antonieta Amorim Caetano Brazil
Aisha Nalugya Uganda
Nahid Khodakarami Iran
Greta Tam Hong Kong
Tatiana Carvalho Reis Martins Brazil
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Ramya Kumar United States
Emily Smith United States
Majdi M. Sabahelzain Sudan
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Citations per field
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Citations per year

Countries citing papers authored by Knut Reidar Wangen

Since Specialization
Citations

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

Fields of papers citing papers by Knut Reidar Wangen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Knut Reidar Wangen. 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 Knut Reidar Wangen. The network helps show where Knut Reidar Wangen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20231
4 202310
5 20238
6 20223
7 20213
8 20183
9 20164
10 20161
11 201629
12 201629
13 20164
14
[Present situation and influencing factors of discrimination against hepatitis B patients and carriers among rural adults in three eastern provinces in China].
20154
15 201546
16 20146
17 201333
18
Small Corporations' Income Shifting through Choice of Ownership Structure - a Norwegian Case
20104
19 20065
20
Prevalence and substitution effects in tobacco consumption: A discrete choice analysis of panel data
200111

About Knut Reidar Wangen

Knut Reidar Wangen is a scholar working on Hepatology, Health and Economics and Econometrics, having authored 32 papers that have together received 310 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Vaccine Coverage and Hesitancy (6 papers), Economic and Environmental Valuation (5 papers), Healthcare Policy and Management (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Hepatitis C virus research (4 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Hepatology (135 citations), Health (63 citations) and Epidemiology (163 citations). Knut Reidar Wangen has collaborated with scholars based in Norway, China and Australia. Frequent co-authors include Jian Wang, Dawei Zhu, Stephen Nicholas, Anli Leng, Birger Solberg, Elizabeth Maitland, Torjus Folsland Bolkesjø, Erik Biørn, Rugang Liu and Guojie Zhang. Their work appears in journals such as PLoS ONE, Vaccine and Gynecologic Oncology.

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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