Malin Bäckström

2.3k citations
35 papers · 1.7k · h-index 23

Impact in

    • Escherichia coli research studies
  • Immunology top 5%
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses

Papers in

    • Glycosylation and Glycoproteins Research 20
    • Galectins and Cancer Biology 4
    • Immunotherapy and Immune Responses 4

Malin Bäckström

34 papers receiving 1.7k citations

Peers

Malin Bäckström
Comparison fields: 5 of 95
  • Endocrinology 176
  • Immunology 512
  • Molecular Biology 1.1k
  • Pharmaceutical Science 73
  • Microbiology 69
Replace Ravinder Singh with:
Ravinder Singh India
Sven C. M. Bruijns Netherlands
Roberta L. Richards United States
Hugues Lelouard France
Lolke de Haan Netherlands
Björn Löwenadler Sweden
Gérard Tiraby France
Gary Fujii United States
Jay T. Evans United States
Daniel D. Long United States
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Citations per field
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Ravinder Singh · 1×
Citations per year

Countries citing papers authored by Malin Bäckström

Since Specialization
Citations

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

Fields of papers citing papers by Malin Bäckström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011427
2 2005205
3 2006122
4 200578
5 200374
6 201374
7 201860
8 200453
9 199648
10 200947
11 201345
12 200042
13 201440
14 199434
15 200934
16 200834
17 200333
18 199731
19 201028
20 202127

About Malin Bäckström

Malin Bäckström is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Epidemiology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (20 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Carbohydrate Chemistry and Synthesis (7 papers), Herpesvirus Infections and Treatments (6 papers), Escherichia coli research studies (6 papers), Galectins and Cancer Biology (4 papers), Immunotherapy and Immune Responses (4 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Endocrinology (176 citations), Immunology (512 citations), Molecular Biology (1.1k citations), Pharmaceutical Science (73 citations) and Microbiology (69 citations). Malin Bäckström has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Gunnar C. Hansson, Kristina A. Thomsson, Malin Johansson, Daniel Ambort, Thomas Noll, Hasse Karlsson, Joy Burchell, Sjoerd van der Post, Joyce Taylor‐Papadimitriou and Michael Lebens. Their work appears in journals such as Vaccine, Journal of Biological Chemistry, Gene, Tumor Biology and Infection and Immunity.

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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