Anders Hviid

11.3k citations
159 papers · 6.8k indexed · 4 hit papers · h-index 40

Anders Hviid

144 papers receiving 6.5k citations

Hit Papers

Glucagon-like peptide 1 receptor ...57202120262022202450100150200250

Peers

Anders Hviid
Comparison fields: 5 of 152
  • Health 1.2k
  • Infectious Diseases 1.5k
  • Epidemiology 2.4k
  • Microbiology 410
  • Obstetrics and Gynecology 318
Replace Jan Wohlfahrt with:
Jan Wohlfahrt Denmark
Björn Pasternak Denmark
Katie L. Flanagan Australia
Robert M. Jacobson United States
G. Thomas Ray United States
Frank DeStefano United States
Cameron Grant New Zealand
Gabriel Chodick Israel
Elizabeth Elliott Australia
Lamberto Manzoli Italy
Anders Hviid relative to Jan Wohlfahrt Denmark Jan Wohlfahrt's profile →
Citations per field
00.5×1.5×1.9×
Jan Wohlfahrt · 1×
Citations per year

Countries citing papers authored by Anders Hviid

Since Specialization
Citations

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

Fields of papers citing papers by Anders Hviid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20253
3 20250
4 20248
5 20240
6 20241
7 20240
8 20247
9 20235
10 202320
11 20232
12 202316
13 20235
14 20239
15 202318
16 202253
17 202121
18 202034
19 201762
20 200341

About Anders Hviid

Anders Hviid is a scholar working on Health, Infectious Diseases, Microbiology, Epidemiology and Obstetrics and Gynecology, having authored 159 papers that have together received 6.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (25 papers), Vaccine Coverage and Hesitancy (22 papers), Influenza Virus Research Studies (13 papers), Long-Term Effects of COVID-19 (13 papers), COVID-19 Clinical Research Studies (13 papers), Pregnancy and Medication Impact (11 papers), Heparin-Induced Thrombocytopenia and Thrombosis (11 papers) and Bacterial Infections and Vaccines (11 papers). The work is most often cited by research in Health (1.2k citations), Infectious Diseases (1.5k citations), Epidemiology (2.4k citations), Microbiology (410 citations) and Obstetrics and Gynecology (318 citations). Anders Hviid has collaborated with scholars based in Denmark, Sweden and United States. Frequent co-authors include Henrik Svanström, Björn Pasternak, Mads Melbye, Ditte Mølgaard‐Nielsen, Morten Frisch, Jan Wohlfahrt, Kathrin Mühlemann, Steven A. Rubin, Mogens Vestergaard and Jørgen Vinsløv Hansen. Their work appears in journals such as JAMA, BMJ, New England Journal of Medicine, Vaccine 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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