Anna Bergman

787 citations
12 papers · 643 · h-index 10

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Pharmacology top 10%
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Alzheimer's disease research and treatments 7
    • Prion Diseases and Protein Misfolding 2
    • Machine Learning in Bioinformatics 2
    • Ubiquitin and proteasome pathways 1

Anna Bergman

12 papers receiving 635 citations

Peers

Anna Bergman
Comparison fields: 5 of 68
  • Physiology 403
  • Pharmacology 126
  • Dermatology 56
  • Cell Biology 110
  • Cellular and Molecular Neuroscience 83
Replace Timothy J. Fleck with:
Timothy J. Fleck United States
Noriko Isoo Japan
Monique Nicoll United States
David Muyllaert Belgium
Patrice Delobel France
Ruth MacLeod United Kingdom
Hideo Michibata Japan
Raffaella Capobianco Italy
N. Ramakrishna United States
Katherine A. Peebles United States
Anna Bergman relative to Timothy J. Fleck United States Timothy J. Fleck's profile →
Citations per field
00.5×6.5×
Timothy J. Fleck · 1×
Citations per year

Countries citing papers authored by Anna Bergman

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bergman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2005150
2 2003132
3 200286
4 200464
5 202149
6 200445
7 200440
8 201831
9 200325
10 198014
11 20206
12 19811

About Anna Bergman

Anna Bergman is a scholar working on Physiology, Molecular Biology, Pharmacology, Developmental and Educational Psychology and Dermatology, having authored 12 papers that have together received 643 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Reading and Literacy Development (3 papers), Prion Diseases and Protein Misfolding (2 papers), Dermatology and Skin Diseases (2 papers), Cellular transport and secretion (2 papers), Machine Learning in Bioinformatics (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Physiology (403 citations), Pharmacology (126 citations), Dermatology (56 citations), Cell Biology (110 citations) and Cellular and Molecular Neuroscience (83 citations). Anna Bergman has collaborated with scholars based in Sweden and United States. Frequent co-authors include Jan Näslund, Bengt Winblad, Mark R. Farmery, Urban Lendahl, Johan Lundkvist, Hanna Laudon, Sharon E. Pursglove, Emil M. Hansson, Helena Karlström and Lars O. Tjernberg. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry, Journal of Clinical Psychology, Clinical Linguistics & Phonetics and Cognitive Behaviour Therapy.

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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