Andreas Mörner

870 citations
20 papers · 763 · h-index 13

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • HIV Research and Treatment 15
    • Influenza Virus Research Studies 3
    • Herpesvirus Infections and Treatments 1

Andreas Mörner

20 papers receiving 743 citations

Peers

Andreas Mörner
Comparison fields: 5 of 49
  • Virology 492
  • Infectious Diseases 82
  • Immunology 79
  • Rheumatology 39
  • Epidemiology 63
Replace Kenta Matsuda with:
Kenta Matsuda United States
Elena S. Lobashevsky United States
Ilia Tikhonov United States
Gaël Petitjean France
Claudia Pastori Italy
Daniel Muema United States
Ewa Björling Sweden
Tran B. Phan United States
Ruth Peña Spain
Henry J. Sutton United States
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Mörner

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Mörner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1999292
2 201470
3 200860
4 200455
5 200851
6 200844
7 201626
8 200025
9 200323
10 200218
11 201016
12 201116
13 199913
14 201211
15 19999
16 20058
17 20068
18 20218
19 20106
20 20064

About Andreas Mörner

Andreas Mörner is a scholar working on Virology, Epidemiology, Transplantation, Genetics and Molecular Biology, having authored 20 papers that have together received 763 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Influenza Virus Research Studies (3 papers), Herpesvirus Infections and Treatments (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Genetic diversity and population structure (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Virology (492 citations), Infectious Diseases (82 citations), Immunology (79 citations), Rheumatology (39 citations) and Epidemiology (63 citations). Andreas Mörner has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Rigmor Thorstensson, Ewa Björling, Jan Albert, Åsa Szekely Björndal, Éva Mária Fenyõ, Dan R. Littman, Vineet N. KewalRamani, Rie Inoue, Richard T. Wyatt and Mattias N.E. Forsell. Their work appears in journals such as Journal of Virology, Journal of General Virology, AIDS Research and Human Retroviruses, AIDS and International 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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