Caj Haglund

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

Impact in

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

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • Peptidase Inhibition and Analysis 4
    • Protease and Inhibitor Mechanisms 5

Caj Haglund

51 papers receiving 1.5k citations

Peers

Caj Haglund
Comparison fields: 5 of 86
  • Immunology and Allergy 137
  • Oncology 551
  • Cancer Research 288
  • Cell Biology 218
  • Otorhinolaryngology 39
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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-authors

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

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998104
2 201099
3 200492
4 200483
5 200458
6 200555
7 201054
8 198652
9 200451
10 201249
11 201649
12 200545
13 199644
14 200142
15 199742
16 201941
17
Combination of HCGbeta, CA 19-9 and CEA with logistic regression improves accuracy in gastrointestinal malignancies.
200237
18 198736
19 200635
20 200631

About Caj Haglund

Caj Haglund is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Cell Biology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Protease and Inhibitor Mechanisms (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Peptidase Inhibition and Analysis (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Immunology and Allergy (137 citations), Oncology (551 citations), Cancer Research (288 citations), Cell Biology (218 citations) and Otorhinolaryngology (39 citations). Caj Haglund has collaborated with scholars based in Finland, Sweden and Ireland. Frequent co-authors include Stig Nordling, Johan Lundin, Johanna Louhimo, Kristina von Boguslawski, Ulf‐Håkan Stenman, Jaana Hagström, Ilmo Leivo, Matti Välimäki, Jan‐Patrik Wiksten and Anne Juuti. Their work appears in journals such as Oncology, British Journal of Cancer, Acta Oncologica, The American Journal of Surgical Pathology and Scandinavian Journal of Gastroenterology.

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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