Lotta Avesson

533 citations
14 papers · 411 · h-index 10

Impact in

  • Parasitology top 10%
    • Parasitic Infections and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 4
    • RNA regulation and disease 3
    • Protist diversity and phylogeny 2
    • RNA and protein synthesis mechanisms 2
    • Cancer-related molecular mechanisms research 2

Lotta Avesson

14 papers receiving 409 citations

Peers

Lotta Avesson
Comparison fields: 5 of 60
  • Parasitology 55
  • Cancer Research 85
  • Biological Psychiatry 10
  • Molecular Biology 253
  • Behavioral Neuroscience 11
Replace Stephani Velasquez with:
Stephani Velasquez United States
Gabriela Balderrama-Gutierrez United States
Mainá Bitar Australia
Yuka Iijima Japan
Brenda P. Fung United States
Allan McVie United Kingdom
Susan T. Nguyen United States
Wang Zhu-gang China
Alice K. Min United States
Romal Stewart Australia
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Citations per field
00.5×2×4×6×8×9.2×
Stephani Velasquez · 1×
Citations per year

Countries citing papers authored by Lotta Avesson

Since Specialization
Citations

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

Fields of papers citing papers by Lotta Avesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201793
2 201870
3 201055
4 201237
5 201432
6 200630
7 200726
8 200625
9 201311
10 201311
11 20119
12 20136
13 20065
14 20131

About Lotta Avesson

Lotta Avesson is a scholar working on Molecular Biology, Cancer Research, Aging, Cognitive Neuroscience and Behavioral Neuroscience, having authored 14 papers that have together received 411 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), RNA regulation and disease (3 papers), Memory and Neural Mechanisms (2 papers), Adipose Tissue and Metabolism (2 papers), Protist diversity and phylogeny (2 papers), Cancer-related molecular mechanisms research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Parasitology (55 citations), Cancer Research (85 citations), Biological Psychiatry (10 citations), Molecular Biology (253 citations) and Behavioral Neuroscience (11 citations). Lotta Avesson has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Fredrik Söderbom, GUY T. BARRY, Staffan G. Svärd, Emma E. Ringqvist, Chris Pickering, Sture Liljequist, Johan Reimegård, Jonas Lindblom, Helgi B. Schiöth and E. Gerhart H. Wagner. Their work appears in journals such as Frontiers in Neuroscience, RNA Biology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Peptides and Journal of Biological Chemistry.

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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