Lotta Vrang

3.0k citations
78 papers · 2.3k · h-index 26

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 53
    • HIV/AIDS Research and Interventions 11
    • HIV Research and Treatment 40

Lotta Vrang

76 papers receiving 2.2k citations

Peers

Lotta Vrang
Comparison fields: 5 of 81
  • Virology 795
  • Infectious Diseases 1.2k
  • Hepatology 416
  • Organic Chemistry 667
  • Computational Theory and Mathematics 251
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Bertil Samuelsson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Lotta Vrang

Since Specialization
Citations

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

Fields of papers citing papers by Lotta Vrang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 1993147
3 2009142
4 1996104
5 199979
6 198778
7 199375
8 201071
9 198670
10 199769
11 200366
12 199963
13 198961
14 198951
15 200349
16 199743
17 199537
18 200037
19 200436
20 200434

About Lotta Vrang

Lotta Vrang is a scholar working on Infectious Diseases, Virology, Molecular Biology, Organic Chemistry and Epidemiology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (53 papers), HIV Research and Treatment (40 papers), HIV/AIDS Research and Interventions (11 papers), Hepatitis C virus research (11 papers), Click Chemistry and Applications (10 papers), Computational Drug Discovery Methods (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Virology (795 citations), Infectious Diseases (1.2k citations), Hepatology (416 citations), Organic Chemistry (667 citations) and Computational Theory and Mathematics (251 citations). Lotta Vrang has collaborated with scholars based in Sweden, Belgium and United States. Frequent co-authors include Bertil Samuelsson, B. Öberg, Bo Öberg, Anders Hallberg, Elizabeth Hamelink, U. Helena Danielson, Åsa Rosenquist, Torsten Unge, Jyoti Chattopadhyaya and Hong Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Antiviral chemistry & chemotherapy and Antiviral Research.

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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