I. AXBERG

539 citations
16 papers · 442 · h-index 10

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 8
    • Glycosylation and Glycoproteins Research 2

I. AXBERG

16 papers receiving 407 citations

Peers

I. AXBERG
Comparison fields: 5 of 74
  • Virology 101
  • Immunology 310
  • Transplantation 14
  • Radiology, Nuclear Medicine and Imaging 112
  • Immunology and Allergy 20
Replace O Weinberger with:
O Weinberger United States
H Spits Netherlands
L D Barber United States
Liliana Clemenza Canada
Eric Long United States
E. J. Kanzy Germany
B.E. Souberbielle United Kingdom
Janeway Ca United States
S K Sikder United States
Philippa M. Saunders Australia
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Citations per field
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Citations per year

Countries citing papers authored by I. AXBERG

Since Specialization
Citations

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

Fields of papers citing papers by I. AXBERG

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1982150
2 199496
3 198042
4 198723
5 198222
6 198222
7 199218
8 198315
9 199114
10 198114
11 19887
12 19897
13 19875
14 19914
15 19902
16 19881

About I. AXBERG

I. AXBERG is a scholar working on Immunology, Molecular Biology, Virology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 442 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (8 papers), HIV Research and Treatment (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Virology (101 citations), Immunology (310 citations), Transplantation (14 citations), Radiology, Nuclear Medicine and Imaging (112 citations) and Immunology and Allergy (20 citations). I. AXBERG has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Hans Wigzell, Urban Ramstedt, Ulf Landegren, Mikael Jondal, Måns Ullberg, Edward A. Clark, Anders Örn, Magnus Gidlund, Patricia Polacino and William R. Morton. Their work appears in journals such as Scandinavian Journal of Immunology, International Journal of Cancer, The Journal of Experimental Medicine, Cellular Immunology and Journal of Clinical Immunology.

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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