Anna-Karin E. Palm

2.2k citations
17 papers · 840 · h-index 12

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 6
    • Immune Response and Inflammation 4
    • SARS-CoV-2 and COVID-19 Research 2

Anna-Karin E. Palm

16 papers receiving 819 citations

Peers

Anna-Karin E. Palm
Comparison fields: 5 of 83
  • Immunology 473
  • Infectious Diseases 253
  • Epidemiology 289
  • Modeling and Simulation 28
  • Virology 23
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Anna-Karin E. Palm relative to Robyn Esterbauer Australia Robyn Esterbauer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna-Karin E. Palm

Since Specialization
Citations

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

Fields of papers citing papers by Anna-Karin E. Palm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna-Karin E. Palm. 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-Karin E. Palm. The network helps show where Anna-Karin E. Palm may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019180
2 2017179
3 2017162
4 202072
5 202160
6 202359
7 201622
8 201521
9 201620
10 201918
11
The nontoxic tripeptide glycyl-prolyl-glycine amide inhibits the replication of human immunodeficiency virus type 1.
200115
12 201214
13 20167
14 20236
15 20233
16 20242
17 20250

About Anna-Karin E. Palm

Anna-Karin E. Palm is a scholar working on Immunology, Infectious Diseases, Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 840 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers), Immune Response and Inflammation (4 papers), Influenza Virus Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (473 citations), Infectious Diseases (253 citations), Epidemiology (289 citations), Modeling and Simulation (28 citations) and Virology (23 citations). Anna-Karin E. Palm has collaborated with scholars based in Sweden and United States. Frequent co-authors include Carole Henry, Patrick C. Wilson, Florian Krammer, Sandra Kleinau, Karlynn E. Neu, Min Huang, Linda Yu-Ling Lan, George Georgiou, Sarah F. Andrews and Gregory C. Ippolito. Their work appears in journals such as Scientific Reports, Veterinary Immunology and Immunopathology, Frontiers in Immunology, Science Translational Medicine and Human Vaccines & Immunotherapeutics.

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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