Dan Baeckström

1.2k citations
24 papers · 989 · h-index 19

Impact in

Papers in

Dan Baeckström

24 papers receiving 972 citations

Peers

Dan Baeckström
Comparison fields: 5 of 67
  • Immunology and Allergy 133
  • Immunology 245
  • Molecular Biology 784
  • Oncology 271
  • Radiology, Nuclear Medicine and Imaging 202
Replace Nandini Mondal with:
Nandini Mondal United States
Y Fukushi Japan
Eric C. McGary United States
Marina Kiso Japan
Fariba Jousheghany United States
Kevin M. Gersten United States
J Taylor-Papadimitriou United Kingdom
Kayluz Frias Boligan Switzerland
Monica Bhatia United States
Sheila Zrihan‐Licht Israel
Dan Baeckström relative to Nandini Mondal United States Nandini Mondal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Baeckström

Since Specialization
Citations

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

Fields of papers citing papers by Dan Baeckström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999190
2 1991126
3 199679
4 199675
5 199560
6 199450
7 199447
8 199542
9 199839
10 201431
11 200530
12 200530
13 199425
14 199725
15 200422
16 200022
17 199622
18 200621
19 199718
20 200016

About Dan Baeckström

Dan Baeckström is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Immunology and Allergy, having authored 24 papers that have together received 989 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Galectins and Cancer Biology (7 papers), Cell Adhesion Molecules Research (7 papers), HER2/EGFR in Cancer Research (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology and Allergy (133 citations), Immunology (245 citations), Molecular Biology (784 citations), Oncology (271 citations) and Radiology, Nuclear Medicine and Imaging (202 citations). Dan Baeckström has collaborated with scholars based in Sweden, United Kingdom and Estonia. Frequent co-authors include Gunnar C. Hansson, Hans Brevinge, Joyce Taylor‐Papadimitriou, Ke Zhang, Ola Nilsson, Ke Zhang, I Carlstedt, C. Johansson, Sandra Gendler and Leif Lindholm. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Oncology, Biochemical and Biophysical Research Communications, Journal of Cellular Biochemistry and Biochemical Journal.

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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