Caj Haglund

1.9k citations
52 papers · 1.6k indexed · h-index 26

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Peptidase Inhibition and Analysis
    • Lung Cancer Research Studies
    • Cell Adhesion Molecules Research

Papers in

    • Pancreatic and Hepatic Oncology Research 8
    • Peptidase Inhibition and Analysis 7
    • Cancer-related Molecular Pathways 6
    • Cell Adhesion Molecules Research 7

Caj Haglund

51 papers receiving 1.6k citations

Peers

Caj Haglund
Comparison fields: 5 of 88
  • Oncology 800
  • Immunology and Allergy 162
  • Cancer Research 371
  • Cell Biology 227
  • Otorhinolaryngology 52
Replace Liotta La with:
Liotta La United States
Pierre Rudolph Germany
Miki Hashimura Japan
Emre Sayan United Kingdom
Annemieke van Zante United States
H. Ewout Schaafsma Netherlands
Maria Giulia Cangi Italy
Koroku Kato Japan
Yasushi Kasai Japan
Bart Jonckx Belgium
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Citations per field
00.5×12.4×
Liotta La · 1×
Citations per year

Countries citing papers authored by Caj Haglund

Since Specialization
Citations

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

Fields of papers citing papers by Caj Haglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20209
2 20205
3 201648
4 201248
5 201099
6 201054
7 20079
8 20061
9 200545
10 200492
11 200458
12 200483
13 200325
14 200142
15 199915
16 199742
17 199644
18 199631
19 19957
20 198735

About Caj Haglund

Caj Haglund is a scholar working on Oncology, Immunology and Allergy, Cancer Research, Cell Biology and Molecular Biology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Pancreatic and Hepatic Oncology Research (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Peptidase Inhibition and Analysis (7 papers), Cell Adhesion Molecules Research (7 papers), Protease and Inhibitor Mechanisms (6 papers), Cancer-related Molecular Pathways (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Oncology (800 citations), Immunology and Allergy (162 citations), Cancer Research (371 citations), Cell Biology (227 citations) and Otorhinolaryngology (52 citations). Caj Haglund has collaborated with scholars based in Finland, Sweden and Ireland. Frequent co-authors include Stig Nordling, Johan Lundin, Ulf‐Håkan Stenman, Johanna Louhimo, Kristina von Boguslawski, Jaana Hagström, Ilmo Leivo, Jan‐Patrik Wiksten, Anne Juuti and Matti Välimäki. Their work appears in journals such as Oncology, British Journal of Cancer, Acta Oncologica, The American Journal of Surgical Pathology and Otolaryngology.

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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